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  • Genomics
  • Nature Publishing Group (NPG)  (101)
  • Oxford University Press  (19)
  • American Institute of Physics (AIP)
  • Public Library of Science
  • 2010-2014  (120)
  • 1985-1989
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  • 1
    Publication Date: 2013-06-08
    Description: DNA methylation is a mechanism for long-term transcriptional regulation and is required for normal cellular differentiation. Failure to properly establish or maintain DNA methylation patterns leads to cell dysfunction and diseases such as cancer. Identifying DNA methylation signatures in complex tissues can be challenging owing to inaccurate cell enrichment methods and low DNA yields. We have developed a technique called laser capture microdissection-reduced representation bisulfite sequencing (LCM-RRBS) for the multiplexed interrogation of the DNA methylation status of cytosine–guanine dinucleotide islands and promoters. LCM-RRBS accurately and reproducibly profiles genome-wide methylation of DNA extracted from microdissected fresh frozen or formalin-fixed paraffin-embedded tissue samples. To demonstrate the utility of LCM-RRBS, we characterized changes in DNA methylation associated with gonadectomy-induced adrenocortical neoplasia in the mouse. Compared with adjacent normal tissue, the adrenocortical tumors showed reproducible gains and losses of DNA methylation at genes involved in cell differentiation and organ development. LCM-RRBS is a rapid, cost-effective, and sensitive technique for analyzing DNA methylation in heterogeneous tissues and will facilitate the investigation of DNA methylation in cancer and organ development.
    Keywords: Genomics
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  • 2
    Publication Date: 2014-12-17
    Description: The advent in high-throughput-sequencing (HTS) technologies has revolutionized conventional biodiversity research by enabling parallel capture of DNA sequences possessing species-level diagnosis. However, polymerase chain reaction (PCR)-based implementation is biased by the efficiency of primer binding across lineages of organisms. A PCR-free HTS approach will alleviate this artefact and significantly improve upon the multi-locus method utilizing full mitogenomes. Here we developed a novel multiplex sequencing and assembly pipeline allowing for simultaneous acquisition of full mitogenomes from pooled animals without DNA enrichment or amplification. By concatenating assemblies from three de novo assemblers, we obtained high-quality mitogenomes for all 49 pooled taxa, with 36 species 〉15 kb and the remaining 〉10 kb, including 20 complete mitogenomes and nearly all protein coding genes (99.6%). The assembly quality was carefully validated with Sanger sequences, reference genomes and conservativeness of protein coding genes across taxa. The new method was effective even for closely related taxa, e.g. three Drosophila spp., demonstrating its broad utility for biodiversity research and mito-phylogenomics. Finally, the in silico simulation showed that by recruiting multiple mito-loci, taxon detection was improved at a fixed sequencing depth. Combined, these results demonstrate the plausibility of a multi-locus mito-metagenomics approach as the next phase of the current single-locus metabarcoding method.
    Keywords: Genomics
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  • 3
    Publication Date: 2014-12-17
    Description: Chromatin modifiers and histone modifications are components of a chromatin-signaling network involved in transcription and its regulation. The interactions between chromatin modifiers and histone modifications are often unknown, are based on the analysis of few genes or are studied in vitro . Here, we apply computational methods to recover interactions between chromatin modifiers and histone modifications from genome-wide ChIP-Seq data. These interactions provide a high-confidence backbone of the chromatin-signaling network. Many recovered interactions have literature support; others provide hypotheses about yet unknown interactions. We experimentally verified two of these predicted interactions, leading to a link between H4K20me1 and members of the Polycomb Repressive Complexes 1 and 2. Our results suggest that our computationally derived interactions are likely to lead to novel biological insights required to establish the connectivity of the chromatin-signaling network involved in transcription and its regulation.
    Keywords: Genomics
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  • 4
    Publication Date: 2013-12-07
    Description: Identity by descent (IBD) can be reliably detected for long shared DNA segments, which are found in related individuals. However, many studies contain cohorts of unrelated individuals that share only short IBD segments. New sequencing technologies facilitate identification of short IBD segments through rare variants, which convey more information on IBD than common variants. Current IBD detection methods, however, are not designed to use rare variants for the detection of short IBD segments. Short IBD segments reveal genetic structures at high resolution. Therefore, they can help to improve imputation and phasing, to increase genotyping accuracy for low-coverage sequencing and to increase the power of association studies. Since short IBD segments are further assumed to be old, they can shed light on the evolutionary history of humans. We propose HapFABIA, a computational method that applies biclustering to identify very short IBD segments characterized by rare variants. HapFABIA is designed to detect short IBD segments in genotype data that were obtained from next-generation sequencing, but can also be applied to DNA microarray data. Especially in next-generation sequencing data, HapFABIA exploits rare variants for IBD detection. HapFABIA significantly outperformed competing algorithms at detecting short IBD segments on artificial and simulated data with rare variants. HapFABIA identified 160 588 different short IBD segments characterized by rare variants with a median length of 23 kb (mean 24 kb) in data for chromosome 1 of the 1000 Genomes Project. These short IBD segments contain 752 000 single nucleotide variants (SNVs), which account for 39% of the rare variants and 23.5% of all variants. The vast majority—152 000 IBD segments—are shared by Africans, while only 19 000 and 11 000 are shared by Europeans and Asians, respectively. IBD segments that match the Denisova or the Neandertal genome are found significantly more often in Asians and Europeans but also, in some cases exclusively, in Africans. The lengths of IBD segments and their sharing between continental populations indicate that many short IBD segments from chromosome 1 existed before humans migrated out of Africa. Thus, rare variants that tag these short IBD segments predate human migration from Africa. The software package HapFABIA is available from Bioconductor. All data sets, result files and programs for data simulation, preprocessing and evaluation are supplied at http://www.bioinf.jku.at/research/short-IBD .
    Keywords: Genomics
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  • 5
    Publication Date: 2013-12-07
    Description: Glioma is the most common and fatal primary brain tumour with poor prognosis; however, the functional roles of miRNAs in glioma malignant progression are insufficiently understood. Here, we used an integrated approach to identify miRNA functional targets during glioma malignant progression by combining the paired expression profiles of miRNAs and mRNAs across 160 Chinese glioma patients, and further constructed the functional miRNA–mRNA regulatory network. As a result, most tumour-suppressive miRNAs in glioma progression were newly discovered, whose functions were widely involved in gliomagenesis. Moreover, three miRNA signatures, with different combinations of hub miRNAs (regulations≥30) were constructed, which could independently predict the survival of patients with all gliomas, high-grade glioma and glioblastoma. Our network-based method increased the ability to identify the prognostic biomarkers, when compared with the traditional method and random conditions. Hsa-miR-524-5p and hsa-miR-628-5p, shared by these three signatures, acted as protective factors and their expression decreased gradually during glioma progression. Functional analysis of these miRNA signatures highlighted their critical roles in cell cycle and cell proliferation in glioblastoma malignant progression, especially hsa-miR-524-5p and hsa-miR-628-5p exhibited dominant regulatory activities. Therefore, network-based biomarkers are expected to be more effective and provide deep insights into the molecular mechanism of glioma malignant progression.
    Keywords: Genomics
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  • 6
    Publication Date: 2014-02-11
    Description: A major challenge in cancer genomics is uncovering genes with an active role in tumorigenesis from a potentially large pool of mutated genes across patient samples. Here we focus on the interactions that proteins make with nucleic acids, small molecules, ions and peptides, and show that residues within proteins that are involved in these interactions are more frequently affected by mutations observed in large-scale cancer genomic data than are other residues. We leverage this observation to predict genes that play a functionally important role in cancers by introducing a computational pipeline ( http://canbind.princeton.edu ) for mapping large-scale cancer exome data across patients onto protein structures, and automatically extracting proteins with an enriched number of mutations affecting their nucleic acid, small molecule, ion or peptide binding sites. Using this computational approach, we show that many previously known genes implicated in cancers are enriched in mutations within the binding sites of their encoded proteins. By focusing on functionally relevant portions of proteins—specifically those known to be involved in molecular interactions—our approach is particularly well suited to detect infrequent mutations that may nonetheless be important in cancer, and should aid in expanding our functional understanding of the genomic landscape of cancer.
    Keywords: Genomics
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  • 7
    Publication Date: 2014-04-03
    Description: Genome duplication with hybridization, or allopolyploidization, occurs commonly in plants, and is considered to be a strong force for generating new species. However, genome-wide quantification of homeolog expression ratios was technically hindered because of the high homology between homeologous gene pairs. To quantify the homeolog expression ratio using RNA-seq obtained from polyploids, a new method named HomeoRoq was developed, in which the genomic origin of sequencing reads was estimated using mismatches between the read and each parental genome. To verify this method, we first assembled the two diploid parental genomes of Arabidopsis halleri subsp. gemmifera and Arabidopsis lyrata subsp. petraea ( Arabidopsis petraea subsp. umbrosa ), then generated a synthetic allotetraploid, mimicking the natural allopolyploid Arabidopsis kamchatica . The quantified ratios corresponded well to those obtained by Pyrosequencing. We found that the ratios of homeologs before and after cold stress treatment were highly correlated ( r = 0.870). This highlights the presence of nonstochastic polyploid gene regulation despite previous research identifying stochastic variation in expression. Moreover, our new statistical test incorporating overdispersion identified 226 homeologs (1.11% of 20 369 expressed homeologs) with significant ratio changes, many of which were related to stress responses. HomeoRoq would contribute to the study of the genes responsible for polyploid-specific environmental responses.
    Keywords: Genomics
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  • 8
    Publication Date: 2012-10-10
    Description: Enriching target sequences in sequencing libraries via capture hybridization to bait/probes is an efficient means of leveraging the capabilities of next-generation sequencing for obtaining sequence data from target regions of interest. However, homologous sequences from non-target regions may also be enriched by such methods. Here we investigate the fidelity of capture enrichment for complete mitochondrial DNA (mtDNA) genome sequencing by analyzing sequence data for nuclear copies of mtDNA (NUMTs). Using capture-enriched sequencing data from a mitochondria-free cell line and the parental cell line, and from samples previously sequenced from long-range PCR products, we demonstrate that NUMT alleles are indeed present in capture-enriched sequence data, but at low enough levels to not influence calling the authentic mtDNA genome sequence. However, distinguishing NUMT alleles from true low-level mutations (e.g. heteroplasmy) is more challenging. We develop here a computational method to distinguish NUMT alleles from heteroplasmies, using sequence data from artificial mixtures to optimize the method.
    Keywords: Genomics
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  • 9
    Publication Date: 2012-10-10
    Description: Single nucleotide polymorphisms (SNPs) are increasingly used to tag genetic loci associated with phenotypes such as risk of complex diseases. Technically, this is done genome-wide without prior restriction or knowledge of biological feasibility in scans referred to as genome-wide association studies (GWAS). Depending on the linkage disequilibrium (LD) structure at a particular locus, such tagSNPs may be surrogates for many thousands of other SNPs, and it is difficult to distinguish those that may play a functional role in the phenotype from those simply genetically linked. Because a large proportion of tagSNPs have been identified within non-coding regions of the genome, distinguishing functional from non-functional SNPs has been an even greater challenge. A strategy was recently proposed that prioritizes surrogate SNPs based on non-coding chromatin and epigenomic mapping techniques that have become feasible with the advent of massively parallel sequencing. Here, we introduce an R/Bioconductor software package that enables the identification of candidate functional SNPs by integrating information from tagSNP locations, lists of linked SNPs from the 1000 genomes project and locations of chromatin features which may have functional significance. Availability: FunciSNP is available from Bioconductor (bioconductor.org).
    Keywords: Genomics
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  • 10
    Publication Date: 2014-04-15
    Description: Reconstructing the evolutionary relationships of species is a major goal in biology. Despite the increasing number of completely sequenced genomes, a large number of phylogenetic projects rely on targeted sequencing and analysis of a relatively small sample of marker genes. The selection of these phylogenetic markers should ideally be based on accurate predictions of their combined, rather than individual, potential to accurately resolve the phylogeny of interest. Here we present and validate a new phylogenomics strategy to efficiently select a minimal set of stable markers able to reconstruct the underlying species phylogeny. In contrast to previous approaches, our methodology does not only rely on the ability of individual genes to reconstruct a known phylogeny, but it also explores the combined power of sets of concatenated genes to accurately infer phylogenetic relationships of species not previously analyzed. We applied our approach to two broad sets of cyanobacterial and ascomycetous fungal species, and provide two minimal sets of six and four genes, respectively, necessary to fully resolve the target phylogenies. This approach paves the way for the informed selection of phylogenetic markers in the effort of reconstructing the tree of life.
    Keywords: Genomics
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  • 11
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    Nature Publishing Group (NPG)
    Publication Date: 2010-10-15
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Penzias, Arno Allan -- England -- Nature. 2010 Oct 14;467(7317):S4. doi: 10.1038/467S4a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20944619" target="_blank"〉PubMed〈/a〉
    Keywords: Computing Methodologies ; Genomics ; *Nobel Prize ; Physics ; Politics ; Private Sector ; Public Opinion ; Public Policy ; Research/trends ; *Research Personnel
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  • 12
    Publication Date: 2010-02-19
    Description: A powerful way to discover key genes with causal roles in oncogenesis is to identify genomic regions that undergo frequent alteration in human cancers. Here we present high-resolution analyses of somatic copy-number alterations (SCNAs) from 3,131 cancer specimens, belonging largely to 26 histological types. We identify 158 regions of focal SCNA that are altered at significant frequency across several cancer types, of which 122 cannot be explained by the presence of a known cancer target gene located within these regions. Several gene families are enriched among these regions of focal SCNA, including the BCL2 family of apoptosis regulators and the NF-kappaBeta pathway. We show that cancer cells containing amplifications surrounding the MCL1 and BCL2L1 anti-apoptotic genes depend on the expression of these genes for survival. Finally, we demonstrate that a large majority of SCNAs identified in individual cancer types are present in several cancer types.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826709/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826709/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Beroukhim, Rameen -- Mermel, Craig H -- Porter, Dale -- Wei, Guo -- Raychaudhuri, Soumya -- Donovan, Jerry -- Barretina, Jordi -- Boehm, Jesse S -- Dobson, Jennifer -- Urashima, Mitsuyoshi -- Mc Henry, Kevin T -- Pinchback, Reid M -- Ligon, Azra H -- Cho, Yoon-Jae -- Haery, Leila -- Greulich, Heidi -- Reich, Michael -- Winckler, Wendy -- Lawrence, Michael S -- Weir, Barbara A -- Tanaka, Kumiko E -- Chiang, Derek Y -- Bass, Adam J -- Loo, Alice -- Hoffman, Carter -- Prensner, John -- Liefeld, Ted -- Gao, Qing -- Yecies, Derek -- Signoretti, Sabina -- Maher, Elizabeth -- Kaye, Frederic J -- Sasaki, Hidefumi -- Tepper, Joel E -- Fletcher, Jonathan A -- Tabernero, Josep -- Baselga, Jose -- Tsao, Ming-Sound -- Demichelis, Francesca -- Rubin, Mark A -- Janne, Pasi A -- Daly, Mark J -- Nucera, Carmelo -- Levine, Ross L -- Ebert, Benjamin L -- Gabriel, Stacey -- Rustgi, Anil K -- Antonescu, Cristina R -- Ladanyi, Marc -- Letai, Anthony -- Garraway, Levi A -- Loda, Massimo -- Beer, David G -- True, Lawrence D -- Okamoto, Aikou -- Pomeroy, Scott L -- Singer, Samuel -- Golub, Todd R -- Lander, Eric S -- Getz, Gad -- Sellers, William R -- Meyerson, Matthew -- K08 AR055688/AR/NIAMS NIH HHS/ -- K08 AR055688-03/AR/NIAMS NIH HHS/ -- K08 AR055688-04/AR/NIAMS NIH HHS/ -- K08 CA122833/CA/NCI NIH HHS/ -- K08 CA122833-01A1/CA/NCI NIH HHS/ -- K08 CA122833-02/CA/NCI NIH HHS/ -- K08 CA122833-03/CA/NCI NIH HHS/ -- K08 CA134931/CA/NCI NIH HHS/ -- K08CA122833/CA/NCI NIH HHS/ -- P01CA 098101/CA/NCI NIH HHS/ -- P01CA085859/CA/NCI NIH HHS/ -- P50CA90578/CA/NCI NIH HHS/ -- R01 CA109038/CA/NCI NIH HHS/ -- R01 GM074024/GM/NIGMS NIH HHS/ -- R01CA109038/CA/NCI NIH HHS/ -- R01CA109467/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U24 CA126546/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Feb 18;463(7283):899-905. doi: 10.1038/nature08822.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Program and Medical and Population Genetics Group, The Broad Institute of M.I.T. and Harvard, 7 Cambridge Center.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20164920" target="_blank"〉PubMed〈/a〉
    Keywords: Apoptosis/genetics ; Cell Line, Tumor ; Cell Survival/genetics ; DNA Copy Number Variations/*genetics ; Gene Amplification/genetics ; Gene Dosage/*genetics ; Genomics ; Humans ; Multigene Family/genetics ; Myeloid Cell Leukemia Sequence 1 Protein ; Neoplasms/classification/*genetics/pathology ; Proto-Oncogene Proteins c-bcl-2/genetics ; Signal Transduction ; bcl-X Protein/genetics
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  • 13
    Publication Date: 2010-02-23
    Description: Nitrogen (N(2))-fixing marine cyanobacteria are an important source of fixed inorganic nitrogen that supports oceanic primary productivity and carbon dioxide removal from the atmosphere. A globally distributed, periodically abundant N(2)-fixing marine cyanobacterium, UCYN-A, was recently found to lack the oxygen-producing photosystem II complex of the photosynthetic apparatus, indicating a novel metabolism, but remains uncultivated. Here we show, from metabolic reconstructions inferred from the assembly of the complete UCYN-A genome using massively parallel pyrosequencing of paired-end reads, that UCYN-A has a photofermentative metabolism and is dependent on other organisms for essential compounds. We found that UCYN-A lacks a number of major metabolic pathways including the tricarboxylic acid cycle, but retains sufficient electron transport capacity to generate energy and reducing power from light. Unexpectedly, UCYN-A has a reduced genome (1.44 megabases) that is structurally similar to many chloroplasts and some bacteria, in that it contains inverted repeats of ribosomal RNA operons. The lack of biosynthetic pathways for several amino acids and purines suggests that this organism depends on other organisms, either in close association or in symbiosis, for critical nutrients. However, size fractionation experiments using natural populations have so far not provided evidence of a symbiotic association with another microorganism. The UCYN-A cyanobacterium is a paradox in evolution and adaptation to the marine environment, and is an example of the tight metabolic coupling between microorganisms in oligotrophic oceanic microbial communities.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tripp, H James -- Bench, Shellie R -- Turk, Kendra A -- Foster, Rachel A -- Desany, Brian A -- Niazi, Faheem -- Affourtit, Jason P -- Zehr, Jonathan P -- England -- Nature. 2010 Mar 4;464(7285):90-4. doi: 10.1038/nature08786. Epub 2010 Feb 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ocean Sciences Department, University of California, Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20173737" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon/metabolism ; Chromosomes, Bacterial/genetics ; Cyanobacteria/classification/cytology/*genetics/*metabolism ; Electron Transport ; Genome, Bacterial/*genetics ; Genomics ; Marine Biology ; Molecular Sequence Data ; Nitrogen/*metabolism ; Nitrogen Fixation/genetics/*physiology ; Oceans and Seas ; Oxidoreductases/genetics ; Seawater/*microbiology
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  • 14
    Publication Date: 2010-02-12
    Description: Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its potential as an important model system for developing new energy and food crops.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International Brachypodium Initiative -- Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2010 Feb 11;463(7282):763-8. doi: 10.1038/nature08747.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉USDA-ARS Western Regional Research Center, Albany, California 94710, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20148030" target="_blank"〉PubMed〈/a〉
    Keywords: Chromosomes, Plant/genetics ; Crops, Agricultural/genetics ; DNA Transposable Elements/genetics ; Evolution, Molecular ; Gene Fusion/genetics ; Genes, Plant/genetics ; Genome, Plant/*genetics ; Genomics ; Molecular Sequence Data ; Oryza/genetics ; Poaceae/classification/*genetics ; RNA, Plant/analysis/genetics ; Sequence Analysis, DNA ; Sorghum/genetics ; Synteny/genetics ; Transcription, Genetic/genetics
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  • 15
    Publication Date: 2010-04-16
    Description: Massively parallel DNA sequencing technologies provide an unprecedented ability to screen entire genomes for genetic changes associated with tumour progression. Here we describe the genomic analyses of four DNA samples from an African-American patient with basal-like breast cancer: peripheral blood, the primary tumour, a brain metastasis and a xenograft derived from the primary tumour. The metastasis contained two de novo mutations and a large deletion not present in the primary tumour, and was significantly enriched for 20 shared mutations. The xenograft retained all primary tumour mutations and displayed a mutation enrichment pattern that resembled the metastasis. Two overlapping large deletions, encompassing CTNNA1, were present in all three tumour samples. The differential mutation frequencies and structural variation patterns in metastasis and xenograft compared with the primary tumour indicate that secondary tumours may arise from a minority of cells within the primary tumour.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872544/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872544/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ding, Li -- Ellis, Matthew J -- Li, Shunqiang -- Larson, David E -- Chen, Ken -- Wallis, John W -- Harris, Christopher C -- McLellan, Michael D -- Fulton, Robert S -- Fulton, Lucinda L -- Abbott, Rachel M -- Hoog, Jeremy -- Dooling, David J -- Koboldt, Daniel C -- Schmidt, Heather -- Kalicki, Joelle -- Zhang, Qunyuan -- Chen, Lei -- Lin, Ling -- Wendl, Michael C -- McMichael, Joshua F -- Magrini, Vincent J -- Cook, Lisa -- McGrath, Sean D -- Vickery, Tammi L -- Appelbaum, Elizabeth -- Deschryver, Katherine -- Davies, Sherri -- Guintoli, Therese -- Lin, Li -- Crowder, Robert -- Tao, Yu -- Snider, Jacqueline E -- Smith, Scott M -- Dukes, Adam F -- Sanderson, Gabriel E -- Pohl, Craig S -- Delehaunty, Kim D -- Fronick, Catrina C -- Pape, Kimberley A -- Reed, Jerry S -- Robinson, Jody S -- Hodges, Jennifer S -- Schierding, William -- Dees, Nathan D -- Shen, Dong -- Locke, Devin P -- Wiechert, Madeline E -- Eldred, James M -- Peck, Josh B -- Oberkfell, Benjamin J -- Lolofie, Justin T -- Du, Feiyu -- Hawkins, Amy E -- O'Laughlin, Michelle D -- Bernard, Kelly E -- Cunningham, Mark -- Elliott, Glendoria -- Mason, Mark D -- Thompson, Dominic M Jr -- Ivanovich, Jennifer L -- Goodfellow, Paul J -- Perou, Charles M -- Weinstock, George M -- Aft, Rebecca -- Watson, Mark -- Ley, Timothy J -- Wilson, Richard K -- Mardis, Elaine R -- 1 U01 CA114722-01/CA/NCI NIH HHS/ -- 3P50 CA68438/CA/NCI NIH HHS/ -- U01 CA114722/CA/NCI NIH HHS/ -- U10 CA076001/CA/NCI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- U54 HG003079-07/HG/NHGRI NIH HHS/ -- UL1 RR024992/RR/NCRR NIH HHS/ -- UL1 TR000448/TR/NCATS NIH HHS/ -- England -- Nature. 2010 Apr 15;464(7291):999-1005. doi: 10.1038/nature08989.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Genome Center at Washington University, St Louis, Missouri 63108, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20393555" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Brain Neoplasms/*genetics/*secondary ; Breast Neoplasms/*genetics/pathology ; DNA Copy Number Variations/genetics ; DNA Mutational Analysis ; Disease Progression ; Female ; Gene Frequency/genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Mutation/*genetics ; *Neoplasm Transplantation ; Translocation, Genetic/genetics ; Transplantation, Heterologous ; alpha Catenin/genetics
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  • 16
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    Nature Publishing Group (NPG)
    Publication Date: 2011-03-11
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gaskell, George -- Gottweis, Herbert -- England -- Nature. 2011 Mar 10;471(7337):159-60. doi: 10.1038/471159a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉London School of Economics and Political Science, London WC2A 2AE, UK. g.gaskell@lse.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21390108" target="_blank"〉PubMed〈/a〉
    Keywords: *Biological Specimen Banks/statistics & numerical data/utilization ; Europe ; Genetic Privacy/psychology ; Genomics ; Health Knowledge, Attitudes, Practice ; Humans ; Informed Consent ; Male ; Public Opinion ; *Public Relations ; Sample Size ; Tissue Donors/*psychology/*statistics & numerical data/supply & distribution ; Trust
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  • 17
    Publication Date: 2011-10-14
    Description: The comparison of related genomes has emerged as a powerful lens for genome interpretation. Here we report the sequencing and comparative analysis of 29 eutherian genomes. We confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering approximately 4.2% of the genome. We use evolutionary signatures and comparisons with experimental data sets to suggest candidate functions for approximately 60% of constrained bases. These elements reveal a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons. We find 220 candidate RNA structural families, and nearly a million elements overlapping potential promoter, enhancer and insulator regions. We report specific amino acid residues that have undergone positive selection, 280,000 non-coding elements exapted from mobile elements and more than 1,000 primate- and human-accelerated elements. Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207357/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207357/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lindblad-Toh, Kerstin -- Garber, Manuel -- Zuk, Or -- Lin, Michael F -- Parker, Brian J -- Washietl, Stefan -- Kheradpour, Pouya -- Ernst, Jason -- Jordan, Gregory -- Mauceli, Evan -- Ward, Lucas D -- Lowe, Craig B -- Holloway, Alisha K -- Clamp, Michele -- Gnerre, Sante -- Alfoldi, Jessica -- Beal, Kathryn -- Chang, Jean -- Clawson, Hiram -- Cuff, James -- Di Palma, Federica -- Fitzgerald, Stephen -- Flicek, Paul -- Guttman, Mitchell -- Hubisz, Melissa J -- Jaffe, David B -- Jungreis, Irwin -- Kent, W James -- Kostka, Dennis -- Lara, Marcia -- Martins, Andre L -- Massingham, Tim -- Moltke, Ida -- Raney, Brian J -- Rasmussen, Matthew D -- Robinson, Jim -- Stark, Alexander -- Vilella, Albert J -- Wen, Jiayu -- Xie, Xiaohui -- Zody, Michael C -- Broad Institute Sequencing Platform and Whole Genome Assembly Team -- Baldwin, Jen -- Bloom, Toby -- Chin, Chee Whye -- Heiman, Dave -- Nicol, Robert -- Nusbaum, Chad -- Young, Sarah -- Wilkinson, Jane -- Worley, Kim C -- Kovar, Christie L -- Muzny, Donna M -- Gibbs, Richard A -- Baylor College of Medicine Human Genome Sequencing Center Sequencing Team -- Cree, Andrew -- Dihn, Huyen H -- Fowler, Gerald -- Jhangiani, Shalili -- Joshi, Vandita -- Lee, Sandra -- Lewis, Lora R -- Nazareth, Lynne V -- Okwuonu, Geoffrey -- Santibanez, Jireh -- Warren, Wesley C -- Mardis, Elaine R -- Weinstock, George M -- Wilson, Richard K -- Genome Institute at Washington University -- Delehaunty, Kim -- Dooling, David -- Fronik, Catrina -- Fulton, Lucinda -- Fulton, Bob -- Graves, Tina -- Minx, Patrick -- Sodergren, Erica -- Birney, Ewan -- Margulies, Elliott H -- Herrero, Javier -- Green, Eric D -- Haussler, David -- Siepel, Adam -- Goldman, Nick -- Pollard, Katherine S -- Pedersen, Jakob S -- Lander, Eric S -- Kellis, Manolis -- 095908/Wellcome Trust/United Kingdom -- GM82901/GM/NIGMS NIH HHS/ -- R01 HG003474/HG/NHGRI NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-09/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Oct 12;478(7370):476-82. doi: 10.1038/nature10530.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Harvard and Massachusetts Institute of Technology, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. kersli@broadinstitute.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21993624" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Disease ; *Evolution, Molecular ; Exons/genetics ; Genome/*genetics ; Genome, Human/*genetics ; Genomics ; Health ; Humans ; Mammals/*genetics ; Molecular Sequence Annotation ; Phylogeny ; RNA/classification/genetics ; Selection, Genetic/genetics ; Sequence Alignment ; Sequence Analysis, DNA
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  • 18
    Publication Date: 2011-10-28
    Description: Parasitic diseases have a devastating, long-term impact on human health, welfare and food production worldwide. More than two billion people are infected with geohelminths, including the roundworms Ascaris (common roundworm), Necator and Ancylostoma (hookworms), and Trichuris (whipworm), mainly in developing or impoverished nations of Asia, Africa and Latin America. In humans, the diseases caused by these parasites result in about 135,000 deaths annually, with a global burden comparable with that of malaria or tuberculosis in disability-adjusted life years. Ascaris alone infects around 1.2 billion people and, in children, causes nutritional deficiency, impaired physical and cognitive development and, in severe cases, death. Ascaris also causes major production losses in pigs owing to reduced growth, failure to thrive and mortality. The Ascaris-swine model makes it possible to study the parasite, its relationship with the host, and ascariasis at the molecular level. To enable such molecular studies, we report the 273 megabase draft genome of Ascaris suum and compare it with other nematode genomes. This genome has low repeat content (4.4%) and encodes about 18,500 protein-coding genes. Notably, the A. suum secretome (about 750 molecules) is rich in peptidases linked to the penetration and degradation of host tissues, and an assemblage of molecules likely to modulate or evade host immune responses. This genome provides a comprehensive resource to the scientific community and underpins the development of new and urgently needed interventions (drugs, vaccines and diagnostic tests) against ascariasis and other nematodiases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jex, Aaron R -- Liu, Shiping -- Li, Bo -- Young, Neil D -- Hall, Ross S -- Li, Yingrui -- Yang, Linfeng -- Zeng, Na -- Xu, Xun -- Xiong, Zijun -- Chen, Fangyuan -- Wu, Xuan -- Zhang, Guojie -- Fang, Xiaodong -- Kang, Yi -- Anderson, Garry A -- Harris, Todd W -- Campbell, Bronwyn E -- Vlaminck, Johnny -- Wang, Tao -- Cantacessi, Cinzia -- Schwarz, Erich M -- Ranganathan, Shoba -- Geldhof, Peter -- Nejsum, Peter -- Sternberg, Paul W -- Yang, Huanming -- Wang, Jun -- Wang, Jian -- Gasser, Robin B -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Oct 26;479(7374):529-33. doi: 10.1038/nature10553.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Faculty of Veterinary Science, The University of Melbourne, Parkville, Victoria 3010, Australia. ajex@unimelb.edu.au〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22031327" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antinematodal Agents ; Ascariasis/drug therapy/parasitology ; Ascaris suum/drug effects/*genetics ; Drug Design ; Genes, Helminth/genetics ; Genome, Helminth/*genetics ; Genomics ; Molecular Sequence Annotation ; Molecular Targeted Therapy
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  • 19
    Publication Date: 2011-09-17
    Description: We report genome sequences of 17 inbred strains of laboratory mice and identify almost ten times more variants than previously known. We use these genomes to explore the phylogenetic history of the laboratory mouse and to examine the functional consequences of allele-specific variation on transcript abundance, revealing that at least 12% of transcripts show a significant tissue-specific expression bias. By identifying candidate functional variants at 718 quantitative trait loci we show that the molecular nature of functional variants and their position relative to genes vary according to the effect size of the locus. These sequences provide a starting point for a new era in the functional analysis of a key model organism.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3276836/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3276836/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Keane, Thomas M -- Goodstadt, Leo -- Danecek, Petr -- White, Michael A -- Wong, Kim -- Yalcin, Binnaz -- Heger, Andreas -- Agam, Avigail -- Slater, Guy -- Goodson, Martin -- Furlotte, Nicholas A -- Eskin, Eleazar -- Nellaker, Christoffer -- Whitley, Helen -- Cleak, James -- Janowitz, Deborah -- Hernandez-Pliego, Polinka -- Edwards, Andrew -- Belgard, T Grant -- Oliver, Peter L -- McIntyre, Rebecca E -- Bhomra, Amarjit -- Nicod, Jerome -- Gan, Xiangchao -- Yuan, Wei -- van der Weyden, Louise -- Steward, Charles A -- Bala, Sendu -- Stalker, Jim -- Mott, Richard -- Durbin, Richard -- Jackson, Ian J -- Czechanski, Anne -- Guerra-Assuncao, Jose Afonso -- Donahue, Leah Rae -- Reinholdt, Laura G -- Payseur, Bret A -- Ponting, Chris P -- Birney, Ewan -- Flint, Jonathan -- Adams, David J -- 077192/Wellcome Trust/United Kingdom -- 079912/Wellcome Trust/United Kingdom -- 082356/Wellcome Trust/United Kingdom -- 083573/Wellcome Trust/United Kingdom -- 083573/Z/07/Z/Wellcome Trust/United Kingdom -- 085906/Wellcome Trust/United Kingdom -- 085906/Z/08/Z/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 2T15LM007359/LM/NLM NIH HHS/ -- A6997/Cancer Research UK/United Kingdom -- BB/F022697/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0800024/Medical Research Council/United Kingdom -- K25 HL080079/HL/NHLBI NIH HHS/ -- MC_U127561112/Medical Research Council/United Kingdom -- MC_U137761446/Medical Research Council/United Kingdom -- Cancer Research UK/United Kingdom -- Medical Research Council/United Kingdom -- England -- Nature. 2011 Sep 14;477(7364):289-94. doi: 10.1038/nature10413.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21921910" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Animals, Laboratory/genetics ; Gene Expression Regulation/*genetics ; Genetic Variation/*genetics ; Genome/*genetics ; Genomics ; Mice/classification/*genetics ; Mice, Inbred C57BL/genetics ; Mice, Inbred Strains/*genetics ; *Phenotype ; Phylogeny ; Quantitative Trait Loci/genetics
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  • 20
    Publication Date: 2011-08-13
    Description: Atlantic cod (Gadus morhua) is a large, cold-adapted teleost that sustains long-standing commercial fisheries and incipient aquaculture. Here we present the genome sequence of Atlantic cod, showing evidence for complex thermal adaptations in its haemoglobin gene cluster and an unusual immune architecture compared to other sequenced vertebrates. The genome assembly was obtained exclusively by 454 sequencing of shotgun and paired-end libraries, and automated annotation identified 22,154 genes. The major histocompatibility complex (MHC) II is a conserved feature of the adaptive immune system of jawed vertebrates, but we show that Atlantic cod has lost the genes for MHC II, CD4 and invariant chain (Ii) that are essential for the function of this pathway. Nevertheless, Atlantic cod is not exceptionally susceptible to disease under natural conditions. We find a highly expanded number of MHC I genes and a unique composition of its Toll-like receptor (TLR) families. This indicates how the Atlantic cod immune system has evolved compensatory mechanisms in both adaptive and innate immunity in the absence of MHC II. These observations affect fundamental assumptions about the evolution of the adaptive immune system and its components in vertebrates.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537168/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537168/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Star, Bastiaan -- Nederbragt, Alexander J -- Jentoft, Sissel -- Grimholt, Unni -- Malmstrom, Martin -- Gregers, Tone F -- Rounge, Trine B -- Paulsen, Jonas -- Solbakken, Monica H -- Sharma, Animesh -- Wetten, Ola F -- Lanzen, Anders -- Winer, Roger -- Knight, James -- Vogel, Jan-Hinnerk -- Aken, Bronwen -- Andersen, Oivind -- Lagesen, Karin -- Tooming-Klunderud, Ave -- Edvardsen, Rolf B -- Tina, Kirubakaran G -- Espelund, Mari -- Nepal, Chirag -- Previti, Christopher -- Karlsen, Bard Ove -- Moum, Truls -- Skage, Morten -- Berg, Paul R -- Gjoen, Tor -- Kuhl, Heiner -- Thorsen, Jim -- Malde, Ketil -- Reinhardt, Richard -- Du, Lei -- Johansen, Steinar D -- Searle, Steve -- Lien, Sigbjorn -- Nilsen, Frank -- Jonassen, Inge -- Omholt, Stig W -- Stenseth, Nils Chr -- Jakobsen, Kjetill S -- 098051/Wellcome Trust/United Kingdom -- England -- Nature. 2011 Aug 10;477(7363):207-10. doi: 10.1038/nature10342.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Ecological and Evolutionary Synthesis, Department of Biology, University of Oslo, PO Box 1066, Blindern, N-0316 Oslo, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21832995" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Evolution, Molecular ; Gadus morhua/*genetics/*immunology ; Genome/*genetics ; Genomics ; Hemoglobins/genetics ; Immune System/*immunology ; Immunity/*genetics/immunology ; Major Histocompatibility Complex/genetics/immunology ; Male ; Polymorphism, Genetic/genetics ; Synteny/genetics ; Toll-Like Receptors/genetics
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  • 21
    Publication Date: 2012-09-25
    Description: We analysed primary breast cancers by genomic DNA copy number arrays, DNA methylation, exome sequencing, messenger RNA arrays, microRNA sequencing and reverse-phase protein arrays. Our ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity. Somatic mutations in only three genes (TP53, PIK3CA and GATA3) occurred at 〉10% incidence across all breast cancers; however, there were numerous subtype-associated and novel gene mutations including the enrichment of specific mutations in GATA3, PIK3CA and MAP3K1 with the luminal A subtype. We identified two novel protein-expression-defined subgroups, possibly produced by stromal/microenvironmental elements, and integrated analyses identified specific signalling pathways dominant in each molecular subtype including a HER2/phosphorylated HER2/EGFR/phosphorylated EGFR signature within the HER2-enriched expression subtype. Comparison of basal-like breast tumours with high-grade serous ovarian tumours showed many molecular commonalities, indicating a related aetiology and similar therapeutic opportunities. The biological finding of the four main breast cancer subtypes caused by different subsets of genetic and epigenetic abnormalities raises the hypothesis that much of the clinically observable plasticity and heterogeneity occurs within, and not across, these major biological subtypes of breast cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465532/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465532/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cancer Genome Atlas Network -- K08 CA148912/CA/NCI NIH HHS/ -- P30 CA016058/CA/NCI NIH HHS/ -- P30 CA016086/CA/NCI NIH HHS/ -- P30 CA016672/CA/NCI NIH HHS/ -- P50 CA058223/CA/NCI NIH HHS/ -- P50 CA116201/CA/NCI NIH HHS/ -- P50CA116201/CA/NCI NIH HHS/ -- P50CA58223/CA/NCI NIH HHS/ -- R01 LM009722/LM/NLM NIH HHS/ -- U01 CA084955/CA/NCI NIH HHS/ -- U24 CA143799/CA/NCI NIH HHS/ -- U24 CA143848/CA/NCI NIH HHS/ -- U24 CA143866/CA/NCI NIH HHS/ -- U24 CA143882/CA/NCI NIH HHS/ -- U24CA143799/CA/NCI NIH HHS/ -- U24CA143835/CA/NCI NIH HHS/ -- U24CA143840/CA/NCI NIH HHS/ -- U24CA143845/CA/NCI NIH HHS/ -- U24CA143848/CA/NCI NIH HHS/ -- U24CA143858/CA/NCI NIH HHS/ -- U24CA143866/CA/NCI NIH HHS/ -- U24CA143867/CA/NCI NIH HHS/ -- U24CA143882/CA/NCI NIH HHS/ -- U24CA143883/CA/NCI NIH HHS/ -- U24CA144025/CA/NCI NIH HHS/ -- U54 HG004028/HG/NHGRI NIH HHS/ -- U54HG003079/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Oct 4;490(7418):61-70. doi: 10.1038/nature11412. Epub 2012 Sep 23.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23000897" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/classification/*genetics/metabolism/*pathology ; DNA Copy Number Variations/genetics ; DNA Methylation ; DNA Mutational Analysis ; Exome/genetics ; Female ; GATA3 Transcription Factor/genetics ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, BRCA1 ; Genes, Neoplasm/*genetics ; Genes, erbB-2/genetics ; Genes, p53/genetics ; *Genetic Heterogeneity ; Genome, Human/genetics ; Genomics ; Humans ; MAP Kinase Kinase Kinase 1/genetics ; MicroRNAs/genetics ; Mutation/*genetics ; Oligonucleotide Array Sequence Analysis ; Ovarian Neoplasms/genetics/pathology ; Phosphatidylinositol 3-Kinases/genetics ; Protein Array Analysis ; Proteomics ; RNA, Messenger/genetics ; RNA, Neoplasm/genetics ; Receptors, Estrogen/metabolism ; Retinoblastoma Protein/genetics/metabolism
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  • 22
    Publication Date: 2012-09-08
    Description: Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNase I, leaving nucleotide-resolution footprints. Using genomic DNase I footprinting across 41 diverse cell and tissue types, we detected 45 million transcription factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNase I cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50-base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation and pluripotency.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736582/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736582/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Neph, Shane -- Vierstra, Jeff -- Stergachis, Andrew B -- Reynolds, Alex P -- Haugen, Eric -- Vernot, Benjamin -- Thurman, Robert E -- John, Sam -- Sandstrom, Richard -- Johnson, Audra K -- Maurano, Matthew T -- Humbert, Richard -- Rynes, Eric -- Wang, Hao -- Vong, Shinny -- Lee, Kristen -- Bates, Daniel -- Diegel, Morgan -- Roach, Vaughn -- Dunn, Douglas -- Neri, Jun -- Schafer, Anthony -- Hansen, R Scott -- Kutyavin, Tanya -- Giste, Erika -- Weaver, Molly -- Canfield, Theresa -- Sabo, Peter -- Zhang, Miaohua -- Balasundaram, Gayathri -- Byron, Rachel -- MacCoss, Michael J -- Akey, Joshua M -- Bender, M A -- Groudine, Mark -- Kaul, Rajinder -- Stamatoyannopoulos, John A -- F30 DK095678/DK/NIDDK NIH HHS/ -- HG004592/HG/NHGRI NIH HHS/ -- P30 CA015704/CA/NCI NIH HHS/ -- R37 DK044746/DK/NIDDK NIH HHS/ -- RC2 HG005654/HG/NHGRI NIH HHS/ -- RC2HG005654/HG/NHGRI NIH HHS/ -- U54 HG004592/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):83-90. doi: 10.1038/nature11212.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955618" target="_blank"〉PubMed〈/a〉
    Keywords: DNA/*genetics ; *DNA Footprinting ; DNA Methylation ; DNA-Binding Proteins/metabolism ; Deoxyribonuclease I/metabolism ; *Encyclopedias as Topic ; Genome, Human/*genetics ; Genomic Imprinting ; Genomics ; Humans ; *Molecular Sequence Annotation ; Polymorphism, Single Nucleotide/genetics ; Regulatory Sequences, Nucleic Acid/*genetics ; Transcription Factors/*metabolism ; Transcription Initiation Site
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  • 23
    Publication Date: 2012-06-05
    Description: Tomato (Solanum lycopersicum) is a major crop plant and a model system for fruit development. Solanum is one of the largest angiosperm genera and includes annual and perennial plants from diverse habitats. Here we present a high-quality genome sequence of domesticated tomato, a draft sequence of its closest wild relative, Solanum pimpinellifolium, and compare them to each other and to the potato genome (Solanum tuberosum). The two tomato genomes show only 0.6% nucleotide divergence and signs of recent admixture, but show more than 8% divergence from potato, with nine large and several smaller inversions. In contrast to Arabidopsis, but similar to soybean, tomato and potato small RNAs map predominantly to gene-rich chromosomal regions, including gene promoters. The Solanum lineage has experienced two consecutive genome triplications: one that is ancient and shared with rosids, and a more recent one. These triplications set the stage for the neofunctionalization of genes controlling fruit characteristics, such as colour and fleshiness.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378239/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378239/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tomato Genome Consortium -- BB/C509731/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G006199/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G02491X/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2012 May 30;485(7400):635-41. doi: 10.1038/nature11119.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22660326" target="_blank"〉PubMed〈/a〉
    Keywords: Arabidopsis/genetics ; *Evolution, Molecular ; Genetic Variation/genetics ; Genome, Plant/*genetics ; Genomics ; Lycopersicon esculentum/*genetics/physiology ; Molecular Sequence Data ; Phylogeny ; RNA, Plant/genetics ; Sequence Analysis, DNA ; Solanum tuberosum/genetics ; Soybeans/genetics ; Synteny
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  • 24
    Publication Date: 2012-09-08
    Description: The vast non-coding portion of the human genome is full of functional elements and disease-causing regulatory variants. The principles defining the relationships between these elements and distal target genes remain unknown. Promoters and distal elements can engage in looping interactions that have been implicated in gene regulation. Here we have applied chromosome conformation capture carbon copy (5C) to interrogate comprehensively interactions between transcription start sites (TSSs) and distal elements in 1% of the human genome representing the ENCODE pilot project regions. 5C maps were generated for GM12878, K562 and HeLa-S3 cells and results were integrated with data from the ENCODE consortium. In each cell line we discovered 〉1,000 long-range interactions between promoters and distal sites that include elements resembling enhancers, promoters and CTCF-bound sites. We observed significant correlations between gene expression, promoter-enhancer interactions and the presence of enhancer RNAs. Long-range interactions show marked asymmetry with a bias for interactions with elements located approximately 120 kilobases upstream of the TSS. Long-range interactions are often not blocked by sites bound by CTCF and cohesin, indicating that many of these sites do not demarcate physically insulated gene domains. Furthermore, only approximately 7% of looping interactions are with the nearest gene, indicating that genomic proximity is not a simple predictor for long-range interactions. Finally, promoters and distal elements are engaged in multiple long-range interactions to form complex networks. Our results start to place genes and regulatory elements in three-dimensional context, revealing their functional relationships.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555147/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555147/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sanyal, Amartya -- Lajoie, Bryan R -- Jain, Gaurav -- Dekker, Job -- HG003143/HG/NHGRI NIH HHS/ -- HG003143-06S1/HG/NHGRI NIH HHS/ -- R01 HG003143/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):109-13. doi: 10.1038/nature11279.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605-0103, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955621" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Cycle Proteins/metabolism ; Chromatin/chemistry/genetics/metabolism ; Chromosomal Proteins, Non-Histone/metabolism ; Chromosomes, Human/chemistry/genetics/metabolism ; DNA/*genetics ; *Encyclopedias as Topic ; Enhancer Elements, Genetic/genetics ; Gene Expression Profiling ; Genome, Human/*genetics ; Genomics ; HeLa Cells ; Humans ; K562 Cells ; *Molecular Sequence Annotation ; *Nucleic Acid Conformation ; Promoter Regions, Genetic/*genetics ; Regulatory Sequences, Nucleic Acid/*genetics ; Repressor Proteins/metabolism
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  • 25
    Publication Date: 2012-03-02
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dunn, Barbara -- England -- Nature. 2012 Feb 29;483(7387):S7. doi: 10.1038/483S7a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22378127" target="_blank"〉PubMed〈/a〉
    Keywords: Biomedical Research ; Clinical Trials as Topic/methods ; Diet ; Female ; Genomics ; Humans ; National Cancer Institute (U.S.)/organization & administration ; *Neoplasms/genetics/pathology/prevention & control ; Research Personnel/psychology ; United States ; Vitamins/administration & dosage/therapeutic use
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  • 26
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    Nature Publishing Group (NPG)
    Publication Date: 2013-01-26
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2013 Jan 24;493(7433):451.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23350074" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; *Databases, Genetic ; Demography ; Genealogy and Heraldry ; *Genetic Privacy/standards ; Genome, Human/*genetics ; Genomics ; Haplotypes/genetics ; Humans ; Information Dissemination ; Male ; National Institute of General Medical Sciences (U.S.) ; Pedigree ; Polymorphism, Genetic/genetics ; United States
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  • 27
    Publication Date: 2013-07-23
    Description: Loss of sexual reproduction is considered an evolutionary dead end for metazoans, but bdelloid rotifers challenge this view as they appear to have persisted asexually for millions of years. Neither male sex organs nor meiosis have ever been observed in these microscopic animals: oocytes are formed through mitotic divisions, with no reduction of chromosome number and no indication of chromosome pairing. However, current evidence does not exclude that they may engage in sex on rare, cryptic occasions. Here we report the genome of a bdelloid rotifer, Adineta vaga (Davis, 1873), and show that its structure is incompatible with conventional meiosis. At gene scale, the genome of A. vaga is tetraploid and comprises both anciently duplicated segments and less divergent allelic regions. However, in contrast to sexual species, the allelic regions are rearranged and sometimes even found on the same chromosome. Such structure does not allow meiotic pairing; instead, we find abundant evidence of gene conversion, which may limit the accumulation of deleterious mutations in the absence of meiosis. Gene families involved in resistance to oxidation, carbohydrate metabolism and defence against transposons are significantly expanded, which may explain why transposable elements cover only 3% of the assembled sequence. Furthermore, 8% of the genes are likely to be of non-metazoan origin and were probably acquired horizontally. This apparent convergence between bdelloids and prokaryotes sheds new light on the evolutionary significance of sex.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Flot, Jean-Francois -- Hespeels, Boris -- Li, Xiang -- Noel, Benjamin -- Arkhipova, Irina -- Danchin, Etienne G J -- Hejnol, Andreas -- Henrissat, Bernard -- Koszul, Romain -- Aury, Jean-Marc -- Barbe, Valerie -- Barthelemy, Roxane-Marie -- Bast, Jens -- Bazykin, Georgii A -- Chabrol, Olivier -- Couloux, Arnaud -- Da Rocha, Martine -- Da Silva, Corinne -- Gladyshev, Eugene -- Gouret, Philippe -- Hallatschek, Oskar -- Hecox-Lea, Bette -- Labadie, Karine -- Lejeune, Benjamin -- Piskurek, Oliver -- Poulain, Julie -- Rodriguez, Fernando -- Ryan, Joseph F -- Vakhrusheva, Olga A -- Wajnberg, Eric -- Wirth, Benedicte -- Yushenova, Irina -- Kellis, Manolis -- Kondrashov, Alexey S -- Mark Welch, David B -- Pontarotti, Pierre -- Weissenbach, Jean -- Wincker, Patrick -- Jaillon, Olivier -- Van Doninck, Karine -- England -- Nature. 2013 Aug 22;500(7463):453-7. doi: 10.1038/nature12326. Epub 2013 Jul 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Namur, Department of Biology, URBE, Laboratory of Evolutionary Genetics and Ecology, 5000 Namur, Belgium. jean-francois.flot@ds.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23873043" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biological Evolution ; Gene Conversion/*genetics ; Gene Transfer, Horizontal/genetics ; Genome/*genetics ; Genomics ; Meiosis/genetics ; Models, Biological ; Reproduction, Asexual/*genetics ; Rotifera/*genetics ; Tetraploidy
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  • 28
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    Nature Publishing Group (NPG)
    Publication Date: 2013-05-17
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yong, Ed -- England -- Nature. 2013 May 16;497(7449):297-9. doi: 10.1038/497297a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23676731" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Child ; China ; Eugenics ; Genome, Human/genetics ; Genomics ; Great Britain ; Humans ; Intelligence/*genetics ; Intelligence Tests ; Learning Disorders/genetics ; Male ; Polymorphism, Single Nucleotide/genetics ; Reproducibility of Results ; Sample Size ; Sequence Analysis, DNA ; Uncertainty ; United States
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  • 29
    Publication Date: 2013-07-05
    Description: We have taken the first steps towards a complete reconstruction of the Mycobacterium tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-wide profiling of messenger RNAs, proteins, metabolites and lipids during hypoxia and re-aeration. Adaptations to hypoxia are thought to have a prominent role in M. tuberculosis pathogenesis. Using ChIP-Seq combined with expression data from the induction of the same factors, we have reconstructed a draft regulatory network based on 50 transcription factors. This network model revealed a direct interconnection between the hypoxic response, lipid catabolism, lipid anabolism and the production of cell wall lipids. As a validation of this model, in response to oxygen availability we observe substantial alterations in lipid content and changes in gene expression and metabolites in corresponding metabolic pathways. The regulatory network reveals transcription factors underlying these changes, allows us to computationally predict expression changes, and indicates that Rv0081 is a regulatory hub.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087036/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087036/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Galagan, James E -- Minch, Kyle -- Peterson, Matthew -- Lyubetskaya, Anna -- Azizi, Elham -- Sweet, Linsday -- Gomes, Antonio -- Rustad, Tige -- Dolganov, Gregory -- Glotova, Irina -- Abeel, Thomas -- Mahwinney, Chris -- Kennedy, Adam D -- Allard, Rene -- Brabant, William -- Krueger, Andrew -- Jaini, Suma -- Honda, Brent -- Yu, Wen-Han -- Hickey, Mark J -- Zucker, Jeremy -- Garay, Christopher -- Weiner, Brian -- Sisk, Peter -- Stolte, Christian -- Winkler, Jessica K -- Van de Peer, Yves -- Iazzetti, Paul -- Camacho, Diogo -- Dreyfuss, Jonathan -- Liu, Yang -- Dorhoi, Anca -- Mollenkopf, Hans-Joachim -- Drogaris, Paul -- Lamontagne, Julie -- Zhou, Yiyong -- Piquenot, Julie -- Park, Sang Tae -- Raman, Sahadevan -- Kaufmann, Stefan H E -- Mohney, Robert P -- Chelsky, Daniel -- Moody, D Branch -- Sherman, David R -- Schoolnik, Gary K -- HHSN272200800059C/AI/NIAID NIH HHS/ -- HHSN272200800059C/PHS HHS/ -- R01 AI 071155/AI/NIAID NIH HHS/ -- R01 AI071155/AI/NIAID NIH HHS/ -- U19 AI 076217/AI/NIAID NIH HHS/ -- U19 AI076217/AI/NIAID NIH HHS/ -- England -- Nature. 2013 Jul 11;499(7457):178-83. doi: 10.1038/nature12337. Epub 2013 Jul 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA. jgalag@bu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23823726" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Anoxia/*genetics/metabolism ; Bacterial Proteins/genetics/metabolism ; Binding Sites ; Chromatin Immunoprecipitation ; Gene Expression Profiling ; *Gene Regulatory Networks/genetics ; Genomics ; Lipid Metabolism/genetics ; Metabolic Networks and Pathways/*genetics ; Models, Biological ; Mycobacterium tuberculosis/drug effects/*genetics/*metabolism/physiology ; Oxygen/pharmacology ; Proteolysis ; RNA, Messenger/genetics/metabolism ; Reproducibility of Results ; Sequence Analysis, DNA ; Transcription Factors/genetics/metabolism ; Tuberculosis/metabolism/microbiology
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  • 30
    Publication Date: 2014-08-21
    Description: Modern strains of Mycobacterium tuberculosis from the Americas are closely related to those from Europe, supporting the assumption that human tuberculosis was introduced post-contact. This notion, however, is incompatible with archaeological evidence of pre-contact tuberculosis in the New World. Comparative genomics of modern isolates suggests that M. tuberculosis attained its worldwide distribution following human dispersals out of Africa during the Pleistocene epoch, although this has yet to be confirmed with ancient calibration points. Here we present three 1,000-year-old mycobacterial genomes from Peruvian human skeletons, revealing that a member of the M. tuberculosis complex caused human disease before contact. The ancient strains are distinct from known human-adapted forms and are most closely related to those adapted to seals and sea lions. Two independent dating approaches suggest a most recent common ancestor for the M. tuberculosis complex less than 6,000 years ago, which supports a Holocene dispersal of the disease. Our results implicate sea mammals as having played a role in transmitting the disease to humans across the ocean.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550673/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550673/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bos, Kirsten I -- Harkins, Kelly M -- Herbig, Alexander -- Coscolla, Mireia -- Weber, Nico -- Comas, Inaki -- Forrest, Stephen A -- Bryant, Josephine M -- Harris, Simon R -- Schuenemann, Verena J -- Campbell, Tessa J -- Majander, Kerttu -- Wilbur, Alicia K -- Guichon, Ricardo A -- Wolfe Steadman, Dawnie L -- Cook, Della Collins -- Niemann, Stefan -- Behr, Marcel A -- Zumarraga, Martin -- Bastida, Ricardo -- Huson, Daniel -- Nieselt, Kay -- Young, Douglas -- Parkhill, Julian -- Buikstra, Jane E -- Gagneux, Sebastien -- Stone, Anne C -- Krause, Johannes -- 098051/Wellcome Trust/United Kingdom -- AI090928/AI/NIAID NIH HHS/ -- MC_U117581288/Medical Research Council/United Kingdom -- R01 AI090928/AI/NIAID NIH HHS/ -- Medical Research Council/United Kingdom -- England -- Nature. 2014 Oct 23;514(7523):494-7. doi: 10.1038/nature13591. Epub 2014 Aug 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Archaeological Sciences, University of Tubingen, Ruemelinstrasse 23, 72070 Tubingen, Germany [2]. ; 1] School of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, Arizona 85287-2402, USA [2]. ; 1] Department of Archaeological Sciences, University of Tubingen, Ruemelinstrasse 23, 72070 Tubingen, Germany [2] Center for Bioinformatics, University of Tubingen, Sand 14, 72076 Tubingen, Germany [3]. ; 1] Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland [2] University of Basel, Petersplatz 1, CH-4003 Basel, Switzerland [3]. ; Center for Bioinformatics, University of Tubingen, Sand 14, 72076 Tubingen, Germany. ; 1] Genomics and Health Unit, FISABIO-Public Health, Avenida Cataluna 21, 46020 Valencia, Spain [2] CIBER (Centros de Investigacion Biomedica en Red) in Epidemiology and Public Health, Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellon 11, Planta 0, 28029 Madrid, Spain. ; Department of Archaeological Sciences, University of Tubingen, Ruemelinstrasse 23, 72070 Tubingen, Germany. ; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ; Department of Archaeology, University of Cape Town, Private Bag X1, Rondebosch, 7701, South Africa. ; School of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, Arizona 85287-2402, USA. ; CONICET, Laboratorio de Ecologia Evolutiva Humana (FACSO, UNCPBA), Departamento de Biologia (FCEyN, UNMDP), Calle 508 No. 881 (7631), Quequen, Argentina. ; Department of Anthropology, University of Tennessee, 250 South Stadium Hall, Knoxville, Tennessee 37996, USA. ; Department of Anthropology, Indiana University, 701 East Kirkwood Avenue, Bloomington, Indiana 47405-7100, USA. ; 1] Molecular Mycobacteriology, Forschungszentrum Borstel, Parkallee 1, 23845 Borstel, Germany [2] German Center for Infection Research, Forschungszentrum Borstel, Parkallee 1, 23845 Borstel, Germany. ; McGill International TB Centre, McGill University, 1650 Cedar Avenue, Montreal H3G 1A4, Canada. ; Biotechnology Institute, CICVyA-INTA Castelar, Dr. Nicolas Repetto y De Los Reseros S/N, (B1686IGC) Hurlingham, Buenos Aires, Argentina. ; Instituto de Investigaciones Marinas y Costeras (CONICET-UNMdP), Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata, San Luis 1722, Mar del Plata 7600, Argentina. ; 1] Department of Medicine, Imperial College, London W2 1PG, UK [2] Division of Mycobacterial Research, MRC National Institute for Medical Research, Mill Hill, London NW7 1AA, UK. ; 1] Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland [2] University of Basel, Petersplatz 1, CH-4003 Basel, Switzerland. ; 1] Department of Archaeological Sciences, University of Tubingen, Ruemelinstrasse 23, 72070 Tubingen, Germany [2] Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tubingen, Tubingen 72070, Germany [3] Max Planck Institute for Science and History, Khalaische Strasse 10, 07745 Jena, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25141181" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bone and Bones/microbiology ; Europe/ethnology ; Genome, Bacterial/*genetics ; Genomics ; History, Ancient ; Human Migration/history ; Humans ; Mycobacterium tuberculosis/*genetics ; Peru ; Phylogeny ; Pinnipedia/*microbiology ; Tuberculosis/*history/*microbiology/transmission ; Zoonoses/*history/*microbiology/transmission
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  • 31
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    Nature Publishing Group (NPG)
    Publication Date: 2014-04-04
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wright, Jessica -- England -- Nature. 2014 Apr 3;508(7494):S6-7. doi: 10.1038/508S6a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24695335" target="_blank"〉PubMed〈/a〉
    Keywords: Calcium Channels, L-Type/genetics ; Case-Control Studies ; Cooperative Behavior ; DNA Copy Number Variations/genetics ; Exome/genetics ; Fragile X Mental Retardation Protein/genetics ; Gene-Environment Interaction ; Genetic Predisposition to Disease/*genetics ; Genomics ; Humans ; Molecular Targeted Therapy/trends ; Multifactorial Inheritance/*genetics ; Psychotic Disorders/drug therapy ; Receptors, Dopamine D2/genetics/metabolism ; Receptors, N-Methyl-D-Aspartate/metabolism ; Risk Factors ; Schizophrenia/drug therapy/*genetics/physiopathology ; Twin Studies as Topic
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  • 32
    Publication Date: 2014-08-29
    Description: Discovering the structure and dynamics of transcriptional regulatory events in the genome with cellular and temporal resolution is crucial to understanding the regulatory underpinnings of development and disease. We determined the genomic distribution of binding sites for 92 transcription factors and regulatory proteins across multiple stages of Caenorhabditis elegans development by performing 241 ChIP-seq (chromatin immunoprecipitation followed by sequencing) experiments. Integration of regulatory binding and cellular-resolution expression data produced a spatiotemporally resolved metazoan transcription factor binding map. Using this map, we explore developmental regulatory circuits that encode combinatorial logic at the levels of co-binding and co-expression of transcription factors, characterizing the genomic coverage and clustering of regulatory binding, the binding preferences of, and biological processes regulated by, transcription factors, the global transcription factor co-associations and genomic subdomains that suggest shared patterns of regulation, and identifying key transcription factors and transcription factor co-associations for fate specification of individual lineages and cell types.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530805/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530805/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Araya, Carlos L -- Kawli, Trupti -- Kundaje, Anshul -- Jiang, Lixia -- Wu, Beijing -- Vafeados, Dionne -- Terrell, Robert -- Weissdepp, Peter -- Gevirtzman, Louis -- Mace, Daniel -- Niu, Wei -- Boyle, Alan P -- Xie, Dan -- Ma, Lijia -- Murray, John I -- Reinke, Valerie -- Waterston, Robert H -- Snyder, Michael -- R01 GM072675/GM/NIGMS NIH HHS/ -- U01 HG004267/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Aug 28;512(7515):400-5. doi: 10.1038/nature13497.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. ; Department of Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520, USA. ; Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois 60637, USA. ; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164749" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Caenorhabditis elegans/cytology/embryology/*genetics/*growth & development ; Caenorhabditis elegans Proteins/metabolism ; Cell Lineage ; Chromatin Immunoprecipitation ; Gene Expression Regulation, Developmental/*genetics ; Genome, Helminth/*genetics ; Genomics ; Larva/cytology/genetics/growth & development/metabolism ; Protein Binding ; *Spatio-Temporal Analysis ; Transcription Factors/*metabolism
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  • 33
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    Nature Publishing Group (NPG)
    Publication Date: 2014-12-18
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2014 Dec 18;516(7531):S75. doi: 10.1038/516S75a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25517246" target="_blank"〉PubMed〈/a〉
    Keywords: China ; Cities ; Computational Biology ; Genomics ; Periodicals as Topic/statistics & numerical data ; Research/standards/*statistics & numerical data/trends ; Universities/statistics & numerical data
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  • 34
    Publication Date: 2014-01-28
    Description: Ancient genomic sequences have started to reveal the origin and the demographic impact of farmers from the Neolithic period spreading into Europe. The adoption of farming, stock breeding and sedentary societies during the Neolithic may have resulted in adaptive changes in genes associated with immunity and diet. However, the limited data available from earlier hunter-gatherers preclude an understanding of the selective processes associated with this crucial transition to agriculture in recent human evolution. Here we sequence an approximately 7,000-year-old Mesolithic skeleton discovered at the La Brana-Arintero site in Leon, Spain, to retrieve a complete pre-agricultural European human genome. Analysis of this genome in the context of other ancient samples suggests the existence of a common ancient genomic signature across western and central Eurasia from the Upper Paleolithic to the Mesolithic. The La Brana individual carries ancestral alleles in several skin pigmentation genes, suggesting that the light skin of modern Europeans was not yet ubiquitous in Mesolithic times. Moreover, we provide evidence that a significant number of derived, putatively adaptive variants associated with pathogen resistance in modern Europeans were already present in this hunter-gatherer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269527/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269527/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Olalde, Inigo -- Allentoft, Morten E -- Sanchez-Quinto, Federico -- Santpere, Gabriel -- Chiang, Charleston W K -- DeGiorgio, Michael -- Prado-Martinez, Javier -- Rodriguez, Juan Antonio -- Rasmussen, Simon -- Quilez, Javier -- Ramirez, Oscar -- Marigorta, Urko M -- Fernandez-Callejo, Marcos -- Prada, Maria Encina -- Encinas, Julio Manuel Vidal -- Nielsen, Rasmus -- Netea, Mihai G -- Novembre, John -- Sturm, Richard A -- Sabeti, Pardis -- Marques-Bonet, Tomas -- Navarro, Arcadi -- Willerslev, Eske -- Lalueza-Fox, Carles -- F32 GM106656/GM/NIGMS NIH HHS/ -- F32GM106656/GM/NIGMS NIH HHS/ -- R01 HG007089/HG/NHGRI NIH HHS/ -- R01-HG007089/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Mar 13;507(7491):225-8. doi: 10.1038/nature12960. Epub 2014 Jan 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2]. ; 1] Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark [2]. ; Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain. ; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA. ; 1] Department of Integrative Biology, University of California, Berkeley, California 94720, USA [2] Department of Biology, Pennsylvania State University, 502 Wartik Laboratory, University Park, Pennsylvania 16802, USA. ; Center for Biological Sequence Analysis, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark. ; I.E.S.O. 'Los Salados', Junta de Castilla y Leon, E-49600 Benavente, Spain. ; Junta de Castilla y Leon, Servicio de Cultura de Leon, E-24071 Leon, Spain. ; Center for Theoretical Evolutionary Genomics, University of California, Berkeley, California 94720, USA. ; Department of Medicine and Nijmegen Institute for Infection, Inflammation and Immunity, Radboud University Nijmegen Medical Centre, 6500 Nijmegen, The Netherlands. ; Department of Human Genetics, University of Chicago, Illinois 60637, USA. ; Institute for Molecular Bioscience, Melanogenix Group, The University of Queensland, Brisbane, Queensland 4072, Australia. ; 1] Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA [2] Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain. ; 1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain [3] Centre de Regulacio Genomica (CRG), Barcelona 08003, Catalonia, Spain [4] National Institute for Bioinformatics (INB), Barcelona 08003, Catalonia, Spain. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463515" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/history ; *Alleles ; Biological Evolution ; Caves ; European Continental Ancestry Group/*genetics ; Eye Color/genetics ; *Fossils ; Genome, Human/genetics ; Genomics ; History, Ancient ; Humans ; Immunity/*genetics ; Lactose Intolerance/genetics ; Male ; Pigmentation/*genetics ; Polymorphism, Single Nucleotide/genetics ; Principal Component Analysis ; Skeleton ; Skin Pigmentation/genetics ; Spain/ethnology
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  • 35
    Publication Date: 2010-08-06
    Description: Sponges are an ancient group of animals that diverged from other metazoans over 600 million years ago. Here we present the draft genome sequence of Amphimedon queenslandica, a demosponge from the Great Barrier Reef, and show that it is remarkably similar to other animal genomes in content, structure and organization. Comparative analysis enabled by the sequencing of the sponge genome reveals genomic events linked to the origin and early evolution of animals, including the appearance, expansion and diversification of pan-metazoan transcription factor, signalling pathway and structural genes. This diverse 'toolkit' of genes correlates with critical aspects of all metazoan body plans, and comprises cell cycle control and growth, development, somatic- and germ-cell specification, cell adhesion, innate immunity and allorecognition. Notably, many of the genes associated with the emergence of animals are also implicated in cancer, which arises from defects in basic processes associated with metazoan multicellularity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130542/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130542/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Srivastava, Mansi -- Simakov, Oleg -- Chapman, Jarrod -- Fahey, Bryony -- Gauthier, Marie E A -- Mitros, Therese -- Richards, Gemma S -- Conaco, Cecilia -- Dacre, Michael -- Hellsten, Uffe -- Larroux, Claire -- Putnam, Nicholas H -- Stanke, Mario -- Adamska, Maja -- Darling, Aaron -- Degnan, Sandie M -- Oakley, Todd H -- Plachetzki, David C -- Zhai, Yufeng -- Adamski, Marcin -- Calcino, Andrew -- Cummins, Scott F -- Goodstein, David M -- Harris, Christina -- Jackson, Daniel J -- Leys, Sally P -- Shu, Shengqiang -- Woodcroft, Ben J -- Vervoort, Michel -- Kosik, Kenneth S -- Manning, Gerard -- Degnan, Bernard M -- Rokhsar, Daniel S -- R01 HG004164/HG/NHGRI NIH HHS/ -- R01 HG004164-03/HG/NHGRI NIH HHS/ -- R01 HG004164-04/HG/NHGRI NIH HHS/ -- England -- Nature. 2010 Aug 5;466(7307):720-6. doi: 10.1038/nature09201.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Integrative Genomics and Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA. mansi@wi.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20686567" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Apoptosis/genetics ; Cell Adhesion/genetics ; Cell Cycle/genetics ; Cell Polarity/genetics ; Cell Proliferation ; *Evolution, Molecular ; Genes/genetics ; Genome/*genetics ; Genomics ; Humans ; Immunity, Innate/genetics ; Models, Biological ; Neurons/metabolism ; Phosphotransferases/chemistry/genetics ; Phylogeny ; Porifera/anatomy & histology/cytology/*genetics/immunology ; Sequence Analysis, DNA ; Signal Transduction/genetics
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  • 36
    Publication Date: 2011-03-25
    Description: Multiple myeloma is an incurable malignancy of plasma cells, and its pathogenesis is poorly understood. Here we report the massively parallel sequencing of 38 tumour genomes and their comparison to matched normal DNAs. Several new and unexpected oncogenic mechanisms were suggested by the pattern of somatic mutation across the data set. These include the mutation of genes involved in protein translation (seen in nearly half of the patients), genes involved in histone methylation, and genes involved in blood coagulation. In addition, a broader than anticipated role of NF-kappaB signalling was indicated by mutations in 11 members of the NF-kappaB pathway. Of potential immediate clinical relevance, activating mutations of the kinase BRAF were observed in 4% of patients, suggesting the evaluation of BRAF inhibitors in multiple myeloma clinical trials. These results indicate that cancer genome sequencing of large collections of samples will yield new insights into cancer not anticipated by existing knowledge.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560292/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560292/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chapman, Michael A -- Lawrence, Michael S -- Keats, Jonathan J -- Cibulskis, Kristian -- Sougnez, Carrie -- Schinzel, Anna C -- Harview, Christina L -- Brunet, Jean-Philippe -- Ahmann, Gregory J -- Adli, Mazhar -- Anderson, Kenneth C -- Ardlie, Kristin G -- Auclair, Daniel -- Baker, Angela -- Bergsagel, P Leif -- Bernstein, Bradley E -- Drier, Yotam -- Fonseca, Rafael -- Gabriel, Stacey B -- Hofmeister, Craig C -- Jagannath, Sundar -- Jakubowiak, Andrzej J -- Krishnan, Amrita -- Levy, Joan -- Liefeld, Ted -- Lonial, Sagar -- Mahan, Scott -- Mfuko, Bunmi -- Monti, Stefano -- Perkins, Louise M -- Onofrio, Robb -- Pugh, Trevor J -- Rajkumar, S Vincent -- Ramos, Alex H -- Siegel, David S -- Sivachenko, Andrey -- Stewart, A Keith -- Trudel, Suzanne -- Vij, Ravi -- Voet, Douglas -- Winckler, Wendy -- Zimmerman, Todd -- Carpten, John -- Trent, Jeff -- Hahn, William C -- Garraway, Levi A -- Meyerson, Matthew -- Lander, Eric S -- Getz, Gad -- Golub, Todd R -- K12 CA133250/CA/NCI NIH HHS/ -- R01 AG020686/AG/NIA NIH HHS/ -- R01 AG020686-07/AG/NIA NIH HHS/ -- R01 CA133115/CA/NCI NIH HHS/ -- R01 CA133115-04/CA/NCI NIH HHS/ -- R01 CA133966/CA/NCI NIH HHS/ -- R01 CA133966-03/CA/NCI NIH HHS/ -- England -- Nature. 2011 Mar 24;471(7339):467-72. doi: 10.1038/nature09837.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Eli and Edythe L. Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02412, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21430775" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Blood Coagulation/genetics ; CpG Islands/genetics ; DNA Mutational Analysis ; DNA Repair/genetics ; Exons/genetics ; Exosome Multienzyme Ribonuclease Complex ; Genome, Human/*genetics ; Genomics ; Histones/metabolism ; Homeodomain Proteins/genetics ; Homeostasis/genetics ; Humans ; Methylation ; Models, Molecular ; Molecular Sequence Data ; Multiple Myeloma/drug therapy/enzymology/*genetics/metabolism ; Mutation/*genetics ; NF-kappa B/metabolism ; Oncogenes/genetics ; Open Reading Frames/genetics ; Protein Biosynthesis/genetics ; Protein Conformation ; Proto-Oncogene Proteins B-raf/antagonists & inhibitors/genetics/metabolism ; RNA Processing, Post-Transcriptional/genetics ; Ribonucleases/chemistry/genetics ; Signal Transduction/genetics ; Transcription, Genetic/genetics
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  • 37
    Publication Date: 2011-04-12
    Description: Whole-genome duplication (WGD), or polyploidy, followed by gene loss and diploidization has long been recognized as an important evolutionary force in animals, fungi and other organisms, especially plants. The success of angiosperms has been attributed, in part, to innovations associated with gene or whole-genome duplications, but evidence for proposed ancient genome duplications pre-dating the divergence of monocots and eudicots remains equivocal in analyses of conserved gene order. Here we use comprehensive phylogenomic analyses of sequenced plant genomes and more than 12.6 million new expressed-sequence-tag sequences from phylogenetically pivotal lineages to elucidate two groups of ancient gene duplications-one in the common ancestor of extant seed plants and the other in the common ancestor of extant angiosperms. Gene duplication events were intensely concentrated around 319 and 192 million years ago, implicating two WGDs in ancestral lineages shortly before the diversification of extant seed plants and extant angiosperms, respectively. Significantly, these ancestral WGDs resulted in the diversification of regulatory genes important to seed and flower development, suggesting that they were involved in major innovations that ultimately contributed to the rise and eventual dominance of seed plants and angiosperms.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jiao, Yuannian -- Wickett, Norman J -- Ayyampalayam, Saravanaraj -- Chanderbali, Andre S -- Landherr, Lena -- Ralph, Paula E -- Tomsho, Lynn P -- Hu, Yi -- Liang, Haiying -- Soltis, Pamela S -- Soltis, Douglas E -- Clifton, Sandra W -- Schlarbaum, Scott E -- Schuster, Stephan C -- Ma, Hong -- Leebens-Mack, Jim -- dePamphilis, Claude W -- England -- Nature. 2011 May 5;473(7345):97-100. doi: 10.1038/nature09916. Epub 2011 Apr 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Intercollege Graduate Degree Program in Plant Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21478875" target="_blank"〉PubMed〈/a〉
    Keywords: Angiosperms/*classification/*genetics ; *Evolution, Molecular ; Genome, Plant/*genetics ; Genomics ; Phylogeny ; *Polyploidy
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  • 38
    facet.materialart.
    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2011-08-20
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Perkel, Jeffrey -- England -- Nature. 2011 Aug 18;476(7360):361-3.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21853556" target="_blank"〉PubMed〈/a〉
    Keywords: Employment/statistics & numerical data ; Genetics, Medical ; Genomics ; Humans ; Physicians/economics/*statistics & numerical data ; Research Personnel/economics/education/*statistics & numerical data ; Translational Medical Research/*manpower
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  • 39
    Publication Date: 2011-09-06
    Description: Evolutionary relationships among the eight major lineages of Mollusca have remained unresolved despite their diversity and importance. Previous investigations of molluscan phylogeny, based primarily on nuclear ribosomal gene sequences or morphological data, have been unsuccessful at elucidating these relationships. Recently, phylogenomic studies using dozens to hundreds of genes have greatly improved our understanding of deep animal relationships. However, limited genomic resources spanning molluscan diversity has prevented use of a phylogenomic approach. Here we use transcriptome and genome data from all major lineages (except Monoplacophora) and recover a well-supported topology for Mollusca. Our results strongly support the Aculifera hypothesis placing Polyplacophora (chitons) in a clade with a monophyletic Aplacophora (worm-like molluscs). Additionally, within Conchifera, a sister-taxon relationship between Gastropoda and Bivalvia is supported. This grouping has received little consideration and contains most (〉95%) molluscan species. Thus we propose the node-based name Pleistomollusca. In light of these results, we examined the evolution of morphological characters and found support for advanced cephalization and shells as possibly having multiple origins within Mollusca.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024475/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024475/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kocot, Kevin M -- Cannon, Johanna T -- Todt, Christiane -- Citarella, Mathew R -- Kohn, Andrea B -- Meyer, Achim -- Santos, Scott R -- Schander, Christoffer -- Moroz, Leonid L -- Lieb, Bernhard -- Halanych, Kenneth M -- 1R01GM097502/GM/NIGMS NIH HHS/ -- 1R01NS06076/NS/NINDS NIH HHS/ -- R01 GM097502/GM/NIGMS NIH HHS/ -- R01 NS039103/NS/NINDS NIH HHS/ -- R21 DA030118/DA/NIDA NIH HHS/ -- R21 RR025699/RR/NCRR NIH HHS/ -- R21DA030118/DA/NIDA NIH HHS/ -- England -- Nature. 2011 Sep 4;477(7365):452-6. doi: 10.1038/nature10382.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Auburn University, 101 Rouse Life Sciences, Auburn, Alabama 36849, USA. kmkocot@auburn.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21892190" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bivalvia/anatomy & histology/classification/genetics ; Expressed Sequence Tags ; Gastropoda/anatomy & histology/classification/genetics ; Gene Expression Profiling ; Genes ; Genome/*genetics ; Genomics ; Models, Biological ; Mollusca/anatomy & histology/*classification/*genetics ; *Phylogeny
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  • 40
    Publication Date: 2011-07-22
    Description: Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value 〈 10(-245)). We identify a 17-base-pair DNA sequence motif that is enriched in these hotspots, and is an excellent match to the predicted binding target of PRDM9 alleles common in West Africans and rare in Europeans. Sites of this motif are predicted to be risk loci for disease-causing genomic rearrangements in individuals carrying these alleles. More generally, this map provides a resource for research in human genetic variation and evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154982/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154982/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hinch, Anjali G -- Tandon, Arti -- Patterson, Nick -- Song, Yunli -- Rohland, Nadin -- Palmer, Cameron D -- Chen, Gary K -- Wang, Kai -- Buxbaum, Sarah G -- Akylbekova, Ermeg L -- Aldrich, Melinda C -- Ambrosone, Christine B -- Amos, Christopher -- Bandera, Elisa V -- Berndt, Sonja I -- Bernstein, Leslie -- Blot, William J -- Bock, Cathryn H -- Boerwinkle, Eric -- Cai, Qiuyin -- Caporaso, Neil -- Casey, Graham -- Cupples, L Adrienne -- Deming, Sandra L -- Diver, W Ryan -- Divers, Jasmin -- Fornage, Myriam -- Gillanders, Elizabeth M -- Glessner, Joseph -- Harris, Curtis C -- Hu, Jennifer J -- Ingles, Sue A -- Isaacs, William -- John, Esther M -- Kao, W H Linda -- Keating, Brendan -- Kittles, Rick A -- Kolonel, Laurence N -- Larkin, Emma -- Le Marchand, Loic -- McNeill, Lorna H -- Millikan, Robert C -- Murphy, Adam -- Musani, Solomon -- Neslund-Dudas, Christine -- Nyante, Sarah -- Papanicolaou, George J -- Press, Michael F -- Psaty, Bruce M -- Reiner, Alex P -- Rich, Stephen S -- Rodriguez-Gil, Jorge L -- Rotter, Jerome I -- Rybicki, Benjamin A -- Schwartz, Ann G -- Signorello, Lisa B -- Spitz, Margaret -- Strom, Sara S -- Thun, Michael J -- Tucker, Margaret A -- Wang, Zhaoming -- Wiencke, John K -- Witte, John S -- Wrensch, Margaret -- Wu, Xifeng -- Yamamura, Yuko -- Zanetti, Krista A -- Zheng, Wei -- Ziegler, Regina G -- Zhu, Xiaofeng -- Redline, Susan -- Hirschhorn, Joel N -- Henderson, Brian E -- Taylor, Herman A Jr -- Price, Alkes L -- Hakonarson, Hakon -- Chanock, Stephen J -- Haiman, Christopher A -- Wilson, James G -- Reich, David -- Myers, Simon R -- 090532/Wellcome Trust/United Kingdom -- CA060691/CA/NCI NIH HHS/ -- CA092447/CA/NCI NIH HHS/ -- CA100374/CA/NCI NIH HHS/ -- CA100598/CA/NCI NIH HHS/ -- CA1116460/CA/NCI NIH HHS/ -- CA1116460S1/CA/NCI NIH HHS/ -- CA121197/CA/NCI NIH HHS/ -- CA121197S2/CA/NCI NIH HHS/ -- CA127219/CA/NCI NIH HHS/ -- CA1326792/CA/NCI NIH HHS/ -- CA140388/CA/NCI NIH HHS/ -- CA141716/CA/NCI NIH HHS/ -- CA148085/CA/NCI NIH HHS/ -- CA148127/CA/NCI NIH HHS/ -- CA22453/CA/NCI NIH HHS/ -- CA54281/CA/NCI NIH HHS/ -- CA55769/CA/NCI NIH HHS/ -- CA58223/CA/NCI NIH HHS/ -- CA63464/CA/NCI NIH HHS/ -- CA68485/CA/NCI NIH HHS/ -- CA68578/CA/NCI NIH HHS/ -- CA77305/CA/NCI NIH HHS/ -- CA87895/CA/NCI NIH HHS/ -- CA88164/CA/NCI NIH HHS/ -- ES007784/ES/NIEHS NIH HHS/ -- ES011126/ES/NIEHS NIH HHS/ -- ES06717/ES/NIEHS NIH HHS/ -- ES10126/ES/NIEHS NIH HHS/ -- GM08016/GM/NIGMS NIH HHS/ -- GM091332/GM/NIGMS NIH HHS/ -- HD33175/HD/NICHD NIH HHS/ -- HG004726/HG/NHGRI NIH HHS/ -- HHSN268200960009C/PHS HHS/ -- HL084107/HL/NHLBI NIH HHS/ -- N01-HC-65226/HC/NHLBI NIH HHS/ -- P30 ES010126/ES/NIEHS NIH HHS/ -- R01 CA052689/CA/NCI NIH HHS/ -- R01 CA092447/CA/NCI NIH HHS/ -- R01 HG006399/HG/NHGRI NIH HHS/ -- R01 HL084107-04/HL/NHLBI NIH HHS/ -- R01-CA73629/CA/NCI NIH HHS/ -- U01 HG004168/HG/NHGRI NIH HHS/ -- U01 HG004168-03/HG/NHGRI NIH HHS/ -- Intramural NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2011 Jul 20;476(7359):170-5. doi: 10.1038/nature10336.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Centre for Human Genetics, Oxford University, Roosevelt Drive, Oxford OX3 7BN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21775986" target="_blank"〉PubMed〈/a〉
    Keywords: Africa, Western/ethnology ; African Americans/*genetics ; Alleles ; Amino Acid Motifs ; Base Sequence ; Chromosome Mapping ; Crossing Over, Genetic/*genetics ; Europe/ethnology ; European Continental Ancestry Group/genetics ; Evolution, Molecular ; Female ; Gene Frequency ; Genetics, Population ; Genome, Human/*genetics ; Genomics ; Haplotypes/genetics ; Histone-Lysine N-Methyltransferase/chemistry/genetics/metabolism ; Humans ; Male ; Molecular Sequence Data ; Pedigree ; Polymorphism, Single Nucleotide/genetics ; Probability
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  • 41
    facet.materialart.
    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2012-06-09
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2012 Jun 6;486(7401):17. doi: 10.1038/486017a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22678260" target="_blank"〉PubMed〈/a〉
    Keywords: Africa/ethnology ; African Americans/genetics ; Chromosome Painting ; Chromosomes, Human, Y/genetics ; DNA, Mitochondrial/genetics ; Europe/ethnology ; Female ; Genetic Testing ; Genetic Variation/genetics ; Genome, Human/*genetics ; Genomics ; Haplotypes/genetics ; Humans ; Male ; *Pedigree
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  • 42
    Publication Date: 2012-10-30
    Description: Unravelling the genomic landscape of divergence between lineages is key to understanding speciation. The naturally hybridizing collared flycatcher and pied flycatcher are important avian speciation models that show pre- as well as postzygotic isolation. We sequenced and assembled the 1.1-Gb flycatcher genome, physically mapped the assembly to chromosomes using a low-density linkage map and re-sequenced population samples of each species. Here we show that the genomic landscape of species differentiation is highly heterogeneous with approximately 50 'divergence islands' showing up to 50-fold higher sequence divergence than the genomic background. These non-randomly distributed islands, with between one and three regions of elevated divergence per chromosome irrespective of chromosome size, are characterized by reduced levels of nucleotide diversity, skewed allele-frequency spectra, elevated levels of linkage disequilibrium and reduced proportions of shared polymorphisms in both species, indicative of parallel episodes of selection. Proximity of divergence peaks to genomic regions resistant to sequence assembly, potentially including centromeres and telomeres, indicate that complex repeat structures may drive species divergence. A much higher background level of species divergence of the Z chromosome, and a lower proportion of shared polymorphisms, indicate that sex chromosomes and autosomes are at different stages of speciation. This study provides a roadmap to the emerging field of speciation genomics.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ellegren, Hans -- Smeds, Linnea -- Burri, Reto -- Olason, Pall I -- Backstrom, Niclas -- Kawakami, Takeshi -- Kunstner, Axel -- Makinen, Hannu -- Nadachowska-Brzyska, Krystyna -- Qvarnstrom, Anna -- Uebbing, Severin -- Wolf, Jochen B W -- England -- Nature. 2012 Nov 29;491(7426):756-60. doi: 10.1038/nature11584. Epub 2012 Oct 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Dept of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Norbyvagen 18D, SE-752 36 Uppsala, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23103876" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biodiversity ; Centromere/genetics ; Chromosomes/genetics ; Gene Frequency ; *Genetic Speciation ; Genetic Variation ; Genome/*genetics ; Genomics ; Male ; Molecular Sequence Data ; Phylogeny ; Selection, Genetic/genetics ; Songbirds/classification/*genetics ; Species Specificity ; Telomere/genetics
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  • 43
    Publication Date: 2012-03-31
    Description: The systematic translation of cancer genomic data into knowledge of tumour biology and therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust preclinical model systems that reflect the genomic diversity of human cancers and for which detailed genetic and pharmacological annotation is available. Here we describe the Cancer Cell Line Encyclopedia (CCLE): a compilation of gene expression, chromosomal copy number and massively parallel sequencing data from 947 human cancer cell lines. When coupled with pharmacological profiles for 24 anticancer drugs across 479 of the cell lines, this collection allowed identification of genetic, lineage, and gene-expression-based predictors of drug sensitivity. In addition to known predictors, we found that plasma cell lineage correlated with sensitivity to IGF1 receptor inhibitors; AHR expression was associated with MEK inhibitor efficacy in NRAS-mutant lines; and SLFN11 expression predicted sensitivity to topoisomerase inhibitors. Together, our results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents. The generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of 'personalized' therapeutic regimens.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barretina, Jordi -- Caponigro, Giordano -- Stransky, Nicolas -- Venkatesan, Kavitha -- Margolin, Adam A -- Kim, Sungjoon -- Wilson, Christopher J -- Lehar, Joseph -- Kryukov, Gregory V -- Sonkin, Dmitriy -- Reddy, Anupama -- Liu, Manway -- Murray, Lauren -- Berger, Michael F -- Monahan, John E -- Morais, Paula -- Meltzer, Jodi -- Korejwa, Adam -- Jane-Valbuena, Judit -- Mapa, Felipa A -- Thibault, Joseph -- Bric-Furlong, Eva -- Raman, Pichai -- Shipway, Aaron -- Engels, Ingo H -- Cheng, Jill -- Yu, Guoying K -- Yu, Jianjun -- Aspesi, Peter Jr -- de Silva, Melanie -- Jagtap, Kalpana -- Jones, Michael D -- Wang, Li -- Hatton, Charles -- Palescandolo, Emanuele -- Gupta, Supriya -- Mahan, Scott -- Sougnez, Carrie -- Onofrio, Robert C -- Liefeld, Ted -- MacConaill, Laura -- Winckler, Wendy -- Reich, Michael -- Li, Nanxin -- Mesirov, Jill P -- Gabriel, Stacey B -- Getz, Gad -- Ardlie, Kristin -- Chan, Vivien -- Myer, Vic E -- Weber, Barbara L -- Porter, Jeff -- Warmuth, Markus -- Finan, Peter -- Harris, Jennifer L -- Meyerson, Matthew -- Golub, Todd R -- Morrissey, Michael P -- Sellers, William R -- Schlegel, Robert -- Garraway, Levi A -- DP2 OD002750/OD/NIH HHS/ -- DP2 OD002750-01/OD/NIH HHS/ -- R33 CA126674/CA/NCI NIH HHS/ -- R33 CA126674-04/CA/NCI NIH HHS/ -- R33 CA155554/CA/NCI NIH HHS/ -- R33 CA155554-02/CA/NCI NIH HHS/ -- England -- Nature. 2012 Mar 28;483(7391):603-7. doi: 10.1038/nature11003.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22460905" target="_blank"〉PubMed〈/a〉
    Keywords: Antineoplastic Agents/pharmacology ; Cell Line, Tumor ; Cell Lineage ; Chromosomes, Human/genetics ; Clinical Trials as Topic/methods ; *Databases, Factual ; Drug Screening Assays, Antitumor/*methods ; *Encyclopedias as Topic ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, ras/genetics ; Genome, Human/genetics ; Genomics ; Humans ; Mitogen-Activated Protein Kinase Kinases/antagonists & inhibitors/metabolism ; *Models, Biological ; Neoplasms/*drug therapy/genetics/metabolism/*pathology ; Pharmacogenetics ; Plasma Cells/cytology/drug effects/metabolism ; Precision Medicine/methods ; Receptor, IGF Type 1/antagonists & inhibitors/metabolism ; Receptors, Aryl Hydrocarbon/genetics/metabolism ; Sequence Analysis, DNA ; Topoisomerase Inhibitors/pharmacology
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  • 44
    Publication Date: 2012-12-22
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Heuer, Rolf-Dieter -- Rosenzweig, Cynthia -- Steltzner, Adam -- Blanpain, Cedric -- Iorns, Elizabeth -- Wang, Jun -- Handelsman, Jo -- Gowers, Tim -- De Bernardinis, Bernardo -- Fouchier, Ron -- England -- Nature. 2012 Dec 20;492(7429):335-43. doi: 10.1038/492335a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23257862" target="_blank"〉PubMed〈/a〉
    Keywords: Access to Information ; Animals ; Bioterrorism/prevention & control ; Climate Change ; Disaster Planning/history ; Earthquakes/statistics & numerical data ; Forecasting ; Genomics ; History, 20th Century ; History, 21st Century ; Humans ; Influenza A Virus, H5N1 Subtype/genetics/pathogenicity ; Influenza, Human/transmission/virology ; Mars ; Neoplastic Stem Cells/cytology ; New York City ; Physics/history ; Publishing/economics ; Reproducibility of Results ; *Research/economics/standards/statistics & numerical data ; Security Measures ; Sexism/psychology/statistics & numerical data ; Space Flight/history/instrumentation
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  • 45
    Publication Date: 2012-09-11
    Description: Lung squamous cell carcinoma is a common type of lung cancer, causing approximately 400,000 deaths per year worldwide. Genomic alterations in squamous cell lung cancers have not been comprehensively characterized, and no molecularly targeted agents have been specifically developed for its treatment. As part of The Cancer Genome Atlas, here we profile 178 lung squamous cell carcinomas to provide a comprehensive landscape of genomic and epigenomic alterations. We show that the tumour type is characterized by complex genomic alterations, with a mean of 360 exonic mutations, 165 genomic rearrangements, and 323 segments of copy number alteration per tumour. We find statistically recurrent mutations in 11 genes, including mutation of TP53 in nearly all specimens. Previously unreported loss-of-function mutations are seen in the HLA-A class I major histocompatibility gene. Significantly altered pathways included NFE2L2 and KEAP1 in 34%, squamous differentiation genes in 44%, phosphatidylinositol-3-OH kinase pathway genes in 47%, and CDKN2A and RB1 in 72% of tumours. We identified a potential therapeutic target in most tumours, offering new avenues of investigation for the treatment of squamous cell lung cancers.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466113/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466113/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cancer Genome Atlas Research Network -- K08 CA137153/CA/NCI NIH HHS/ -- P30 CA016086/CA/NCI NIH HHS/ -- P30 CA016672/CA/NCI NIH HHS/ -- R00 CA149182/CA/NCI NIH HHS/ -- R01 CA149569/CA/NCI NIH HHS/ -- R01 HG006272/HG/NHGRI NIH HHS/ -- T32 CA009172/CA/NCI NIH HHS/ -- U24 CA126543/CA/NCI NIH HHS/ -- U24 CA126544/CA/NCI NIH HHS/ -- U24 CA126546/CA/NCI NIH HHS/ -- U24 CA126551/CA/NCI NIH HHS/ -- U24 CA126554/CA/NCI NIH HHS/ -- U24 CA126561/CA/NCI NIH HHS/ -- U24 CA126563/CA/NCI NIH HHS/ -- U24 CA143799/CA/NCI NIH HHS/ -- U24 CA143835/CA/NCI NIH HHS/ -- U24 CA143840/CA/NCI NIH HHS/ -- U24 CA143843/CA/NCI NIH HHS/ -- U24 CA143845/CA/NCI NIH HHS/ -- U24 CA143848/CA/NCI NIH HHS/ -- U24 CA143858/CA/NCI NIH HHS/ -- U24 CA143866/CA/NCI NIH HHS/ -- U24 CA143867/CA/NCI NIH HHS/ -- U24 CA143882/CA/NCI NIH HHS/ -- U24 CA143883/CA/NCI NIH HHS/ -- U24 CA144025/CA/NCI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 27;489(7417):519-25. doi: 10.1038/nature11404. Epub 2012 Sep 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22960745" target="_blank"〉PubMed〈/a〉
    Keywords: Adenocarcinoma/drug therapy/genetics/metabolism ; Carcinoma, Squamous Cell/drug therapy/*genetics/metabolism ; DNA Mutational Analysis ; Gene Deletion ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, p16 ; Genes, p53/genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Lung Neoplasms/drug therapy/*genetics/metabolism ; Molecular Targeted Therapy ; Mutation/*genetics ; Mutation Rate ; Phosphatidylinositol 3-Kinases/metabolism ; Signal Transduction/genetics
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  • 46
    Publication Date: 2012-09-08
    Description: DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify approximately 2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect approximately 580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721348/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721348/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Thurman, Robert E -- Rynes, Eric -- Humbert, Richard -- Vierstra, Jeff -- Maurano, Matthew T -- Haugen, Eric -- Sheffield, Nathan C -- Stergachis, Andrew B -- Wang, Hao -- Vernot, Benjamin -- Garg, Kavita -- John, Sam -- Sandstrom, Richard -- Bates, Daniel -- Boatman, Lisa -- Canfield, Theresa K -- Diegel, Morgan -- Dunn, Douglas -- Ebersol, Abigail K -- Frum, Tristan -- Giste, Erika -- Johnson, Audra K -- Johnson, Ericka M -- Kutyavin, Tanya -- Lajoie, Bryan -- Lee, Bum-Kyu -- Lee, Kristen -- London, Darin -- Lotakis, Dimitra -- Neph, Shane -- Neri, Fidencio -- Nguyen, Eric D -- Qu, Hongzhu -- Reynolds, Alex P -- Roach, Vaughn -- Safi, Alexias -- Sanchez, Minerva E -- Sanyal, Amartya -- Shafer, Anthony -- Simon, Jeremy M -- Song, Lingyun -- Vong, Shinny -- Weaver, Molly -- Yan, Yongqi -- Zhang, Zhancheng -- Zhang, Zhuzhu -- Lenhard, Boris -- Tewari, Muneesh -- Dorschner, Michael O -- Hansen, R Scott -- Navas, Patrick A -- Stamatoyannopoulos, George -- Iyer, Vishwanath R -- Lieb, Jason D -- Sunyaev, Shamil R -- Akey, Joshua M -- Sabo, Peter J -- Kaul, Rajinder -- Furey, Terrence S -- Dekker, Job -- Crawford, Gregory E -- Stamatoyannopoulos, John A -- F30 DK095678/DK/NIDDK NIH HHS/ -- GM076036/GM/NIGMS NIH HHS/ -- HG004563/HG/NHGRI NIH HHS/ -- HG004592/HG/NHGRI NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- MC_UP_1102/1/Medical Research Council/United Kingdom -- P30 CA016086/CA/NCI NIH HHS/ -- R01 GM076036/GM/NIGMS NIH HHS/ -- R01 HG003143/HG/NHGRI NIH HHS/ -- R01 MH084676/MH/NIMH NIH HHS/ -- R01MH084676/MH/NIMH NIH HHS/ -- U54 HG004563/HG/NHGRI NIH HHS/ -- U54 HG004592/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):75-82. doi: 10.1038/nature11232.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955617" target="_blank"〉PubMed〈/a〉
    Keywords: Chromatin/*genetics/*metabolism ; DNA/*genetics ; DNA Footprinting ; DNA Methylation ; DNA-Binding Proteins/metabolism ; Deoxyribonuclease I/metabolism ; *Encyclopedias as Topic ; Evolution, Molecular ; Genome, Human/*genetics ; Genomics ; Humans ; *Molecular Sequence Annotation ; Mutation Rate ; Promoter Regions, Genetic/genetics ; Regulatory Sequences, Nucleic Acid/*genetics ; Transcription Factors/metabolism ; Transcription Initiation Site ; Transcription, Genetic
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  • 47
    Publication Date: 2012-09-08
    Description: Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Kundaje, Anshul -- Hariharan, Manoj -- Landt, Stephen G -- Yan, Koon-Kiu -- Cheng, Chao -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Rozowsky, Joel -- Alexander, Roger -- Min, Renqiang -- Alves, Pedro -- Abyzov, Alexej -- Addleman, Nick -- Bhardwaj, Nitin -- Boyle, Alan P -- Cayting, Philip -- Charos, Alexandra -- Chen, David Z -- Cheng, Yong -- Clarke, Declan -- Eastman, Catharine -- Euskirchen, Ghia -- Frietze, Seth -- Fu, Yao -- Gertz, Jason -- Grubert, Fabian -- Harmanci, Arif -- Jain, Preti -- Kasowski, Maya -- Lacroute, Phil -- Leng, Jing -- Lian, Jin -- Monahan, Hannah -- O'Geen, Henriette -- Ouyang, Zhengqing -- Partridge, E Christopher -- Patacsil, Dorrelyn -- Pauli, Florencia -- Raha, Debasish -- Ramirez, Lucia -- Reddy, Timothy E -- Reed, Brian -- Shi, Minyi -- Slifer, Teri -- Wang, Jing -- Wu, Linfeng -- Yang, Xinqiong -- Yip, Kevin Y -- Zilberman-Schapira, Gili -- Batzoglou, Serafim -- Sidow, Arend -- Farnham, Peggy J -- Myers, Richard M -- Weissman, Sherman M -- Snyder, Michael -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32GM008283-24/GM/NIGMS NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):91-100. doi: 10.1038/nature11245.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. mark.gerstein@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955619" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; DNA/*genetics ; *Encyclopedias as Topic ; GATA1 Transcription Factor/metabolism ; Gene Expression Profiling ; Gene Regulatory Networks/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; K562 Cells ; *Molecular Sequence Annotation ; Organ Specificity ; Phosphorylation/genetics ; Polymorphism, Single Nucleotide/genetics ; Protein Interaction Maps ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid/*genetics ; Selection, Genetic/genetics ; Transcription Factors/*metabolism ; Transcription Initiation Site
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  • 48
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2012-04-18
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hughes, Virginia -- England -- Nature. 2012 Apr 12;484(7393):S3.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22509504" target="_blank"〉PubMed〈/a〉
    Keywords: *Gene-Environment Interaction ; Genes, MHC Class II/genetics ; Genetic Association Studies ; Genetic Variation/genetics ; Genomics ; Humans ; Multiple Sclerosis/etiology/*genetics/*immunology
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  • 49
    facet.materialart.
    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2012-06-05
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2012 May 30;485(7400):547. doi: 10.1038/485547a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22660277" target="_blank"〉PubMed〈/a〉
    Keywords: Breeding ; Condiments ; Crops, Agricultural/*genetics/physiology ; European Union ; Food ; Genome, Plant/genetics ; Genomics ; Humans ; Lycopersicon esculentum/classification/*genetics/physiology ; Phenotype ; Taste
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  • 50
    Publication Date: 2012-04-24
    Description: The elucidation of breast cancer subgroups and their molecular drivers requires integrated views of the genome and transcriptome from representative numbers of patients. We present an integrated analysis of copy number and gene expression in a discovery and validation set of 997 and 995 primary breast tumours, respectively, with long-term clinical follow-up. Inherited variants (copy number variants and single nucleotide polymorphisms) and acquired somatic copy number aberrations (CNAs) were associated with expression in ~40% of genes, with the landscape dominated by cis- and trans-acting CNAs. By delineating expression outlier genes driven in cis by CNAs, we identified putative cancer genes, including deletions in PPP2R2A, MTAP and MAP2K4. Unsupervised analysis of paired DNA-RNA profiles revealed novel subgroups with distinct clinical outcomes, which reproduced in the validation cohort. These include a high-risk, oestrogen-receptor-positive 11q13/14 cis-acting subgroup and a favourable prognosis subgroup devoid of CNAs. Trans-acting aberration hotspots were found to modulate subgroup-specific gene networks, including a TCR deletion-mediated adaptive immune response in the 'CNA-devoid' subgroup and a basal-specific chromosome 5 deletion-associated mitotic network. Our results provide a novel molecular stratification of the breast cancer population, derived from the impact of somatic CNAs on the transcriptome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440846/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440846/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Curtis, Christina -- Shah, Sohrab P -- Chin, Suet-Feung -- Turashvili, Gulisa -- Rueda, Oscar M -- Dunning, Mark J -- Speed, Doug -- Lynch, Andy G -- Samarajiwa, Shamith -- Yuan, Yinyin -- Graf, Stefan -- Ha, Gavin -- Haffari, Gholamreza -- Bashashati, Ali -- Russell, Roslin -- McKinney, Steven -- METABRIC Group -- Langerod, Anita -- Green, Andrew -- Provenzano, Elena -- Wishart, Gordon -- Pinder, Sarah -- Watson, Peter -- Markowetz, Florian -- Murphy, Leigh -- Ellis, Ian -- Purushotham, Arnie -- Borresen-Dale, Anne-Lise -- Brenton, James D -- Tavare, Simon -- Caldas, Carlos -- Aparicio, Samuel -- A7199/Cancer Research UK/United Kingdom -- P50HG02790/HG/NHGRI NIH HHS/ -- Cancer Research UK/United Kingdom -- England -- Nature. 2012 Apr 18;486(7403):346-52. doi: 10.1038/nature10983.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Oncology, University of Cambridge, Hills Road, Cambridge CB2 2XZ, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22522925" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/classification/diagnosis/*genetics/*pathology ; DNA Copy Number Variations/*genetics ; Female ; *Gene Expression Profiling ; *Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks/genetics ; Genes, Neoplasm/genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Kaplan-Meier Estimate ; MAP Kinase Kinase 4/genetics ; Polymorphism, Single Nucleotide/genetics ; Prognosis ; Protein Phosphatase 2/genetics ; Treatment Outcome
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  • 51
    Publication Date: 2012-01-13
    Description: Early T-cell precursor acute lymphoblastic leukaemia (ETP ALL) is an aggressive malignancy of unknown genetic basis. We performed whole-genome sequencing of 12 ETP ALL cases and assessed the frequency of the identified somatic mutations in 94 T-cell acute lymphoblastic leukaemia cases. ETP ALL was characterized by activating mutations in genes regulating cytokine receptor and RAS signalling (67% of cases; NRAS, KRAS, FLT3, IL7R, JAK3, JAK1, SH2B3 and BRAF), inactivating lesions disrupting haematopoietic development (58%; GATA3, ETV6, RUNX1, IKZF1 and EP300) and histone-modifying genes (48%; EZH2, EED, SUZ12, SETD2 and EP300). We also identified new targets of recurrent mutation including DNM2, ECT2L and RELN. The mutational spectrum is similar to myeloid tumours, and moreover, the global transcriptional profile of ETP ALL was similar to that of normal and myeloid leukaemia haematopoietic stem cells. These findings suggest that addition of myeloid-directed therapies might improve the poor outcome of ETP ALL.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267575/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267575/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Jinghui -- Ding, Li -- Holmfeldt, Linda -- Wu, Gang -- Heatley, Sue L -- Payne-Turner, Debbie -- Easton, John -- Chen, Xiang -- Wang, Jianmin -- Rusch, Michael -- Lu, Charles -- Chen, Shann-Ching -- Wei, Lei -- Collins-Underwood, J Racquel -- Ma, Jing -- Roberts, Kathryn G -- Pounds, Stanley B -- Ulyanov, Anatoly -- Becksfort, Jared -- Gupta, Pankaj -- Huether, Robert -- Kriwacki, Richard W -- Parker, Matthew -- McGoldrick, Daniel J -- Zhao, David -- Alford, Daniel -- Espy, Stephen -- Bobba, Kiran Chand -- Song, Guangchun -- Pei, Deqing -- Cheng, Cheng -- Roberts, Stefan -- Barbato, Michael I -- Campana, Dario -- Coustan-Smith, Elaine -- Shurtleff, Sheila A -- Raimondi, Susana C -- Kleppe, Maria -- Cools, Jan -- Shimano, Kristin A -- Hermiston, Michelle L -- Doulatov, Sergei -- Eppert, Kolja -- Laurenti, Elisa -- Notta, Faiyaz -- Dick, John E -- Basso, Giuseppe -- Hunger, Stephen P -- Loh, Mignon L -- Devidas, Meenakshi -- Wood, Brent -- Winter, Stuart -- Dunsmore, Kimberley P -- Fulton, Robert S -- Fulton, Lucinda L -- Hong, Xin -- Harris, Christopher C -- Dooling, David J -- Ochoa, Kerri -- Johnson, Kimberly J -- Obenauer, John C -- Evans, William E -- Pui, Ching-Hon -- Naeve, Clayton W -- Ley, Timothy J -- Mardis, Elaine R -- Wilson, Richard K -- Downing, James R -- Mullighan, Charles G -- CA114766/CA/NCI NIH HHS/ -- CA98413/CA/NCI NIH HHS/ -- CA98543/CA/NCI NIH HHS/ -- P30 CA021765/CA/NCI NIH HHS/ -- P30 CA021765-33/CA/NCI NIH HHS/ -- P30CA021765/CA/NCI NIH HHS/ -- U01GM92666/GM/NIGMS NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Jan 11;481(7380):157-63. doi: 10.1038/nature10725.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computational Biology and Bioinformatics, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22237106" target="_blank"〉PubMed〈/a〉
    Keywords: Age of Onset ; Child ; DNA Copy Number Variations/genetics ; Genes, ras/genetics ; Genetic Predisposition to Disease/*genetics ; Genome, Human/genetics ; Genomics ; Hematopoiesis/genetics ; Histones/metabolism ; Humans ; Janus Kinases/genetics/metabolism ; Leukemia, Myeloid, Acute/drug therapy/genetics/pathology ; Molecular Sequence Data ; Mutation/*genetics ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy/*genetics/pathology ; Receptors, Interleukin-7/genetics ; Sequence Analysis, DNA ; Signal Transduction/genetics ; Stem Cells/metabolism/pathology ; T-Lymphocytes/metabolism/pathology ; Translocation, Genetic/genetics
    Print ISSN: 0028-0836
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 52
    Publication Date: 2012-03-31
    Description: Clinical responses to anticancer therapies are often restricted to a subset of patients. In some cases, mutated cancer genes are potent biomarkers for responses to targeted agents. Here, to uncover new biomarkers of sensitivity and resistance to cancer therapeutics, we screened a panel of several hundred cancer cell lines--which represent much of the tissue-type and genetic diversity of human cancers--with 130 drugs under clinical and preclinical investigation. In aggregate, we found that mutated cancer genes were associated with cellular response to most currently available cancer drugs. Classic oncogene addiction paradigms were modified by additional tissue-specific or expression biomarkers, and some frequently mutated genes were associated with sensitivity to a broad range of therapeutic agents. Unexpected relationships were revealed, including the marked sensitivity of Ewing's sarcoma cells harbouring the EWS (also known as EWSR1)-FLI1 gene translocation to poly(ADP-ribose) polymerase (PARP) inhibitors. By linking drug activity to the functional complexity of cancer genomes, systematic pharmacogenomic profiling in cancer cell lines provides a powerful biomarker discovery platform to guide rational cancer therapeutic strategies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3349233/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3349233/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Garnett, Mathew J -- Edelman, Elena J -- Heidorn, Sonja J -- Greenman, Chris D -- Dastur, Anahita -- Lau, King Wai -- Greninger, Patricia -- Thompson, I Richard -- Luo, Xi -- Soares, Jorge -- Liu, Qingsong -- Iorio, Francesco -- Surdez, Didier -- Chen, Li -- Milano, Randy J -- Bignell, Graham R -- Tam, Ah T -- Davies, Helen -- Stevenson, Jesse A -- Barthorpe, Syd -- Lutz, Stephen R -- Kogera, Fiona -- Lawrence, Karl -- McLaren-Douglas, Anne -- Mitropoulos, Xeni -- Mironenko, Tatiana -- Thi, Helen -- Richardson, Laura -- Zhou, Wenjun -- Jewitt, Frances -- Zhang, Tinghu -- O'Brien, Patrick -- Boisvert, Jessica L -- Price, Stacey -- Hur, Wooyoung -- Yang, Wanjuan -- Deng, Xianming -- Butler, Adam -- Choi, Hwan Geun -- Chang, Jae Won -- Baselga, Jose -- Stamenkovic, Ivan -- Engelman, Jeffrey A -- Sharma, Sreenath V -- Delattre, Olivier -- Saez-Rodriguez, Julio -- Gray, Nathanael S -- Settleman, Jeffrey -- Futreal, P Andrew -- Haber, Daniel A -- Stratton, Michael R -- Ramaswamy, Sridhar -- McDermott, Ultan -- Benes, Cyril H -- 086357/Wellcome Trust/United Kingdom -- 1U54HG006097-01/HG/NHGRI NIH HHS/ -- P41GM079575-02/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Mar 28;483(7391):570-5. doi: 10.1038/nature11005.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22460902" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Line, Tumor ; Cell Survival/drug effects ; Drug Resistance, Neoplasm/drug effects/*genetics ; *Drug Screening Assays, Antitumor ; Gene Expression Regulation, Neoplastic/genetics ; Genes, Neoplasm/*genetics ; Genetic Markers/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Indoles/pharmacology ; Neoplasms/*drug therapy/*genetics/pathology ; Oncogene Proteins, Fusion/genetics ; Pharmacogenetics ; Phthalazines/pharmacology ; Piperazines/pharmacology ; Poly(ADP-ribose) Polymerase Inhibitors ; Proto-Oncogene Protein c-fli-1/genetics ; RNA-Binding Protein EWS/genetics ; Sarcoma, Ewing/drug therapy/genetics/pathology
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 53
    Publication Date: 2012-04-07
    Description: Marine stickleback fish have colonized and adapted to thousands of streams and lakes formed since the last ice age, providing an exceptional opportunity to characterize genomic mechanisms underlying repeated ecological adaptation in nature. Here we develop a high-quality reference genome assembly for threespine sticklebacks. By sequencing the genomes of twenty additional individuals from a global set of marine and freshwater populations, we identify a genome-wide set of loci that are consistently associated with marine-freshwater divergence. Our results indicate that reuse of globally shared standing genetic variation, including chromosomal inversions, has an important role in repeated evolution of distinct marine and freshwater sticklebacks, and in the maintenance of divergent ecotypes during early stages of reproductive isolation. Both coding and regulatory changes occur in the set of loci underlying marine-freshwater evolution, but regulatory changes appear to predominate in this well known example of repeated adaptive evolution in nature.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322419/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322419/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jones, Felicity C -- Grabherr, Manfred G -- Chan, Yingguang Frank -- Russell, Pamela -- Mauceli, Evan -- Johnson, Jeremy -- Swofford, Ross -- Pirun, Mono -- Zody, Michael C -- White, Simon -- Birney, Ewan -- Searle, Stephen -- Schmutz, Jeremy -- Grimwood, Jane -- Dickson, Mark C -- Myers, Richard M -- Miller, Craig T -- Summers, Brian R -- Knecht, Anne K -- Brady, Shannon D -- Zhang, Haili -- Pollen, Alex A -- Howes, Timothy -- Amemiya, Chris -- Broad Institute Genome Sequencing Platform & Whole Genome Assembly Team -- Baldwin, Jen -- Bloom, Toby -- Jaffe, David B -- Nicol, Robert -- Wilkinson, Jane -- Lander, Eric S -- Di Palma, Federica -- Lindblad-Toh, Kerstin -- Kingsley, David M -- 095908/Wellcome Trust/United Kingdom -- P50 HG002568/HG/NHGRI NIH HHS/ -- P50 HG002568-09/HG/NHGRI NIH HHS/ -- P50 HG002568-09S1/HG/NHGRI NIH HHS/ -- P50-HG002568/HG/NHGRI NIH HHS/ -- R01 HG003474/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Apr 4;484(7392):55-61. doi: 10.1038/nature10944.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Developmental Biology, Beckman Center B300, Stanford University School of Medicine, Stanford California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22481358" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics ; Alaska ; Animals ; Aquatic Organisms/genetics ; *Biological Evolution ; Chromosome Inversion/genetics ; Chromosomes/genetics ; Conserved Sequence/genetics ; Ecotype ; Female ; Fresh Water ; Genetic Variation/genetics ; Genome/*genetics ; Genomics ; Molecular Sequence Data ; Seawater ; Sequence Analysis, DNA ; Smegmamorpha/*genetics
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  • 54
    Publication Date: 2012-07-27
    Description: Medulloblastoma is an aggressively growing tumour, arising in the cerebellum or medulla/brain stem. It is the most common malignant brain tumour in children, and shows tremendous biological and clinical heterogeneity. Despite recent treatment advances, approximately 40% of children experience tumour recurrence, and 30% will die from their disease. Those who survive often have a significantly reduced quality of life. Four tumour subgroups with distinct clinical, biological and genetic profiles are currently identified. WNT tumours, showing activated wingless pathway signalling, carry a favourable prognosis under current treatment regimens. SHH tumours show hedgehog pathway activation, and have an intermediate prognosis. Group 3 and 4 tumours are molecularly less well characterized, and also present the greatest clinical challenges. The full repertoire of genetic events driving this distinction, however, remains unclear. Here we describe an integrative deep-sequencing analysis of 125 tumour-normal pairs, conducted as part of the International Cancer Genome Consortium (ICGC) PedBrain Tumor Project. Tetraploidy was identified as a frequent early event in Group 3 and 4 tumours, and a positive correlation between patient age and mutation rate was observed. Several recurrent mutations were identified, both in known medulloblastoma-related genes (CTNNB1, PTCH1, MLL2, SMARCA4) and in genes not previously linked to this tumour (DDX3X, CTDNEP1, KDM6A, TBR1), often in subgroup-specific patterns. RNA sequencing confirmed these alterations, and revealed the expression of what are, to our knowledge, the first medulloblastoma fusion genes identified. Chromatin modifiers were frequently altered across all subgroups. These findings enhance our understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provide several potential targets for new therapeutics, especially for Group 3 and 4 patients.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662966/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662966/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jones, David T W -- Jager, Natalie -- Kool, Marcel -- Zichner, Thomas -- Hutter, Barbara -- Sultan, Marc -- Cho, Yoon-Jae -- Pugh, Trevor J -- Hovestadt, Volker -- Stutz, Adrian M -- Rausch, Tobias -- Warnatz, Hans-Jorg -- Ryzhova, Marina -- Bender, Sebastian -- Sturm, Dominik -- Pleier, Sabrina -- Cin, Huriye -- Pfaff, Elke -- Sieber, Laura -- Wittmann, Andrea -- Remke, Marc -- Witt, Hendrik -- Hutter, Sonja -- Tzaridis, Theophilos -- Weischenfeldt, Joachim -- Raeder, Benjamin -- Avci, Meryem -- Amstislavskiy, Vyacheslav -- Zapatka, Marc -- Weber, Ursula D -- Wang, Qi -- Lasitschka, Barbel -- Bartholomae, Cynthia C -- Schmidt, Manfred -- von Kalle, Christof -- Ast, Volker -- Lawerenz, Chris -- Eils, Jurgen -- Kabbe, Rolf -- Benes, Vladimir -- van Sluis, Peter -- Koster, Jan -- Volckmann, Richard -- Shih, David -- Betts, Matthew J -- Russell, Robert B -- Coco, Simona -- Tonini, Gian Paolo -- Schuller, Ulrich -- Hans, Volkmar -- Graf, Norbert -- Kim, Yoo-Jin -- Monoranu, Camelia -- Roggendorf, Wolfgang -- Unterberg, Andreas -- Herold-Mende, Christel -- Milde, Till -- Kulozik, Andreas E -- von Deimling, Andreas -- Witt, Olaf -- Maass, Eberhard -- Rossler, Jochen -- Ebinger, Martin -- Schuhmann, Martin U -- Fruhwald, Michael C -- Hasselblatt, Martin -- Jabado, Nada -- Rutkowski, Stefan -- von Bueren, Andre O -- Williamson, Dan -- Clifford, Steven C -- McCabe, Martin G -- Collins, V Peter -- Wolf, Stephan -- Wiemann, Stefan -- Lehrach, Hans -- Brors, Benedikt -- Scheurlen, Wolfram -- Felsberg, Jorg -- Reifenberger, Guido -- Northcott, Paul A -- Taylor, Michael D -- Meyerson, Matthew -- Pomeroy, Scott L -- Yaspo, Marie-Laure -- Korbel, Jan O -- Korshunov, Andrey -- Eils, Roland -- Pfister, Stefan M -- Lichter, Peter -- P30 HD018655/HD/NICHD NIH HHS/ -- R01 CA109467/CA/NCI NIH HHS/ -- England -- Nature. 2012 Aug 2;488(7409):100-5. doi: 10.1038/nature11284.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22832583" target="_blank"〉PubMed〈/a〉
    Keywords: Aging/genetics ; Amino Acid Sequence ; Cell Transformation, Neoplastic ; Cerebellar Neoplasms/classification/diagnosis/*genetics/pathology ; Child ; Chromatin/metabolism ; Chromosomes, Human/genetics ; DEAD-box RNA Helicases/genetics ; DNA Helicases/genetics ; DNA-Binding Proteins/genetics ; Genome, Human/*genetics ; Genomics ; Hedgehog Proteins/metabolism ; High-Throughput Nucleotide Sequencing ; Histone Demethylases/genetics ; Humans ; Medulloblastoma/classification/diagnosis/*genetics/pathology ; Methylation ; Mutation/genetics ; Mutation Rate ; Neoplasm Proteins/genetics ; Nuclear Proteins/genetics ; Oncogene Proteins, Fusion/genetics ; Phosphoprotein Phosphatases/genetics ; Polyploidy ; Receptors, Cell Surface/genetics ; Sequence Analysis, RNA ; Signal Transduction ; T-Box Domain Proteins/genetics ; Transcription Factors/genetics ; Wnt Proteins/metabolism ; beta Catenin/genetics
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  • 55
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    Nature Publishing Group (NPG)
    Publication Date: 2012-03-09
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Van Noorden, Richard -- England -- Nature. 2012 Mar 7;483(7388):134-5. doi: 10.1038/483134a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22398532" target="_blank"〉PubMed〈/a〉
    Keywords: *Access to Information/legislation & jurisprudence ; Data Mining/legislation & jurisprudence/*trends ; Genomics ; Humans ; Molecular Sequence Annotation/*methods/trends ; *Periodicals as Topic ; Publishing/trends ; Research/trends ; *Research Design
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  • 56
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2012-01-20
    Description: Cancers evolve by a reiterative process of clonal expansion, genetic diversification and clonal selection within the adaptive landscapes of tissue ecosystems. The dynamics are complex, with highly variable patterns of genetic diversity and resulting clonal architecture. Therapeutic intervention may destroy cancer clones and erode their habitats, but it can also inadvertently provide a potent selective pressure for the expansion of resistant variants. The inherently Darwinian character of cancer is the primary reason for this therapeutic failure, but it may also hold the key to more effective control.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367003/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367003/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Greaves, Mel -- Maley, Carlo C -- P01 CA091955/CA/NCI NIH HHS/ -- P01 CA91955/CA/NCI NIH HHS/ -- R01 CA140657/CA/NCI NIH HHS/ -- R01 CA149566/CA/NCI NIH HHS/ -- U54 CA143803/CA/NCI NIH HHS/ -- England -- Nature. 2012 Jan 18;481(7381):306-13. doi: 10.1038/nature10762.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Molecular Pathology, The Institute of Cancer Research, Brookes Lawley Building, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK. mel.greaves@icr.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22258609" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Clonal Evolution ; Clone Cells/metabolism/pathology ; Genomics ; Humans ; Mutation ; Neoplasms/*genetics/*pathology ; Neoplastic Stem Cells/metabolism/pathology ; Tumor Microenvironment
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  • 57
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2013-03-16
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2013 Mar 14;495(7440):141-2.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23495393" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Dissent and Disputes ; Genome, Human/*genetics ; Genomics ; Humans ; *Models, Genetic ; Molecular Sequence Annotation/*standards ; Reproducibility of Results ; Semantics ; *Terminology as Topic
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  • 58
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2013-01-18
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2013 Jan 17;493(7432):284. doi: 10.1038/493284a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23325188" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Animals, Wild/*genetics/*physiology ; *Behavior, Animal ; Crosses, Genetic ; Genomics ; Mice ; Multigene Family/*genetics ; Sequence Analysis, DNA/economics
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  • 59
    Publication Date: 2013-04-20
    Description: The discovery of a living coelacanth specimen in 1938 was remarkable, as this lineage of lobe-finned fish was thought to have become extinct 70 million years ago. The modern coelacanth looks remarkably similar to many of its ancient relatives, and its evolutionary proximity to our own fish ancestors provides a glimpse of the fish that first walked on land. Here we report the genome sequence of the African coelacanth, Latimeria chalumnae. Through a phylogenomic analysis, we conclude that the lungfish, and not the coelacanth, is the closest living relative of tetrapods. Coelacanth protein-coding genes are significantly more slowly evolving than those of tetrapods, unlike other genomic features. Analyses of changes in genes and regulatory elements during the vertebrate adaptation to land highlight genes involved in immunity, nitrogen excretion and the development of fins, tail, ear, eye, brain and olfaction. Functional assays of enhancers involved in the fin-to-limb transition and in the emergence of extra-embryonic tissues show the importance of the coelacanth genome as a blueprint for understanding tetrapod evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633110/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633110/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Amemiya, Chris T -- Alfoldi, Jessica -- Lee, Alison P -- Fan, Shaohua -- Philippe, Herve -- Maccallum, Iain -- Braasch, Ingo -- Manousaki, Tereza -- Schneider, Igor -- Rohner, Nicolas -- Organ, Chris -- Chalopin, Domitille -- Smith, Jeramiah J -- Robinson, Mark -- Dorrington, Rosemary A -- Gerdol, Marco -- Aken, Bronwen -- Biscotti, Maria Assunta -- Barucca, Marco -- Baurain, Denis -- Berlin, Aaron M -- Blatch, Gregory L -- Buonocore, Francesco -- Burmester, Thorsten -- Campbell, Michael S -- Canapa, Adriana -- Cannon, John P -- Christoffels, Alan -- De Moro, Gianluca -- Edkins, Adrienne L -- Fan, Lin -- Fausto, Anna Maria -- Feiner, Nathalie -- Forconi, Mariko -- Gamieldien, Junaid -- Gnerre, Sante -- Gnirke, Andreas -- Goldstone, Jared V -- Haerty, Wilfried -- Hahn, Mark E -- Hesse, Uljana -- Hoffmann, Steve -- Johnson, Jeremy -- Karchner, Sibel I -- Kuraku, Shigehiro -- Lara, Marcia -- Levin, Joshua Z -- Litman, Gary W -- Mauceli, Evan -- Miyake, Tsutomu -- Mueller, M Gail -- Nelson, David R -- Nitsche, Anne -- Olmo, Ettore -- Ota, Tatsuya -- Pallavicini, Alberto -- Panji, Sumir -- Picone, Barbara -- Ponting, Chris P -- Prohaska, Sonja J -- Przybylski, Dariusz -- Saha, Nil Ratan -- Ravi, Vydianathan -- Ribeiro, Filipe J -- Sauka-Spengler, Tatjana -- Scapigliati, Giuseppe -- Searle, Stephen M J -- Sharpe, Ted -- Simakov, Oleg -- Stadler, Peter F -- Stegeman, John J -- Sumiyama, Kenta -- Tabbaa, Diana -- Tafer, Hakim -- Turner-Maier, Jason -- van Heusden, Peter -- White, Simon -- Williams, Louise -- Yandell, Mark -- Brinkmann, Henner -- Volff, Jean-Nicolas -- Tabin, Clifford J -- Shubin, Neil -- Schartl, Manfred -- Jaffe, David B -- Postlethwait, John H -- Venkatesh, Byrappa -- Di Palma, Federica -- Lander, Eric S -- Meyer, Axel -- Lindblad-Toh, Kerstin -- 095908/Wellcome Trust/United Kingdom -- MC_U137761446/Medical Research Council/United Kingdom -- P42 ES007381/ES/NIEHS NIH HHS/ -- R01 ES006272/ES/NIEHS NIH HHS/ -- R01 HG003474/HG/NHGRI NIH HHS/ -- R01 OD011116/OD/NIH HHS/ -- R24 OD011199/OD/NIH HHS/ -- R24 RR032670/RR/NCRR NIH HHS/ -- R37 HD032443/HD/NICHD NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- England -- Nature. 2013 Apr 18;496(7445):311-6. doi: 10.1038/nature12027.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Molecular Genetics Program, Benaroya Research Institute, Seattle, Washington 98101, USA. camemiya@benaroyaresearch.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23598338" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Animals, Genetically Modified ; *Biological Evolution ; Chick Embryo ; Conserved Sequence/genetics ; Enhancer Elements, Genetic/genetics ; Evolution, Molecular ; Extremities/anatomy & histology/growth & development ; Fishes/anatomy & histology/*classification/*genetics/physiology ; Genes, Homeobox/genetics ; Genome/*genetics ; Genomics ; Immunoglobulin M/genetics ; Mice ; Molecular Sequence Annotation ; Molecular Sequence Data ; Phylogeny ; Sequence Alignment ; Sequence Analysis, DNA ; Vertebrates/anatomy & histology/genetics/physiology
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 60
    Publication Date: 2013-04-19
    Description: Zebrafish have become a popular organism for the study of vertebrate gene function. The virtually transparent embryos of this species, and the ability to accelerate genetic studies by gene knockdown or overexpression, have led to the widespread use of zebrafish in the detailed investigation of vertebrate gene function and increasingly, the study of human genetic disease. However, for effective modelling of human genetic disease it is important to understand the extent to which zebrafish genes and gene structures are related to orthologous human genes. To examine this, we generated a high-quality sequence assembly of the zebrafish genome, made up of an overlapping set of completely sequenced large-insert clones that were ordered and oriented using a high-resolution high-density meiotic map. Detailed automatic and manual annotation provides evidence of more than 26,000 protein-coding genes, the largest gene set of any vertebrate so far sequenced. Comparison to the human reference genome shows that approximately 70% of human genes have at least one obvious zebrafish orthologue. In addition, the high quality of this genome assembly provides a clearer understanding of key genomic features such as a unique repeat content, a scarcity of pseudogenes, an enrichment of zebrafish-specific genes on chromosome 4 and chromosomal regions that influence sex determination.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703927/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703927/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Howe, Kerstin -- Clark, Matthew D -- Torroja, Carlos F -- Torrance, James -- Berthelot, Camille -- Muffato, Matthieu -- Collins, John E -- Humphray, Sean -- McLaren, Karen -- Matthews, Lucy -- McLaren, Stuart -- Sealy, Ian -- Caccamo, Mario -- Churcher, Carol -- Scott, Carol -- Barrett, Jeffrey C -- Koch, Romke -- Rauch, Gerd-Jorg -- White, Simon -- Chow, William -- Kilian, Britt -- Quintais, Leonor T -- Guerra-Assuncao, Jose A -- Zhou, Yi -- Gu, Yong -- Yen, Jennifer -- Vogel, Jan-Hinnerk -- Eyre, Tina -- Redmond, Seth -- Banerjee, Ruby -- Chi, Jianxiang -- Fu, Beiyuan -- Langley, Elizabeth -- Maguire, Sean F -- Laird, Gavin K -- Lloyd, David -- Kenyon, Emma -- Donaldson, Sarah -- Sehra, Harminder -- Almeida-King, Jeff -- Loveland, Jane -- Trevanion, Stephen -- Jones, Matt -- Quail, Mike -- Willey, Dave -- Hunt, Adrienne -- Burton, John -- Sims, Sarah -- McLay, Kirsten -- Plumb, Bob -- Davis, Joy -- Clee, Chris -- Oliver, Karen -- Clark, Richard -- Riddle, Clare -- Elliot, David -- Threadgold, Glen -- Harden, Glenn -- Ware, Darren -- Begum, Sharmin -- Mortimore, Beverley -- Kerry, Giselle -- Heath, Paul -- Phillimore, Benjamin -- Tracey, Alan -- Corby, Nicole -- Dunn, Matthew -- Johnson, Christopher -- Wood, Jonathan -- Clark, Susan -- Pelan, Sarah -- Griffiths, Guy -- Smith, Michelle -- Glithero, Rebecca -- Howden, Philip -- Barker, Nicholas -- Lloyd, Christine -- Stevens, Christopher -- Harley, Joanna -- Holt, Karen -- Panagiotidis, Georgios -- Lovell, Jamieson -- Beasley, Helen -- Henderson, Carl -- Gordon, Daria -- Auger, Katherine -- Wright, Deborah -- Collins, Joanna -- Raisen, Claire -- Dyer, Lauren -- Leung, Kenric -- Robertson, Lauren -- Ambridge, Kirsty -- Leongamornlert, Daniel -- McGuire, Sarah -- Gilderthorp, Ruth -- Griffiths, Coline -- Manthravadi, Deepa -- Nichol, Sarah -- Barker, Gary -- Whitehead, Siobhan -- Kay, Michael -- Brown, Jacqueline -- Murnane, Clare -- Gray, Emma -- Humphries, Matthew -- Sycamore, Neil -- Barker, Darren -- Saunders, David -- Wallis, Justene -- Babbage, Anne -- Hammond, Sian -- Mashreghi-Mohammadi, Maryam -- Barr, Lucy -- Martin, Sancha -- Wray, Paul -- Ellington, Andrew -- Matthews, Nicholas -- Ellwood, Matthew -- Woodmansey, Rebecca -- Clark, Graham -- Cooper, James D -- Tromans, Anthony -- Grafham, Darren -- Skuce, Carl -- Pandian, Richard -- Andrews, Robert -- Harrison, Elliot -- Kimberley, Andrew -- Garnett, Jane -- Fosker, Nigel -- Hall, Rebekah -- Garner, Patrick -- Kelly, Daniel -- Bird, Christine -- Palmer, Sophie -- Gehring, Ines -- Berger, Andrea -- Dooley, Christopher M -- Ersan-Urun, Zubeyde -- Eser, Cigdem -- Geiger, Horst -- Geisler, Maria -- Karotki, Lena -- Kirn, Anette -- Konantz, Judith -- Konantz, Martina -- Oberlander, Martina -- Rudolph-Geiger, Silke -- Teucke, Mathias -- Lanz, Christa -- Raddatz, Gunter -- Osoegawa, Kazutoyo -- Zhu, Baoli -- Rapp, Amanda -- Widaa, Sara -- Langford, Cordelia -- Yang, Fengtang -- Schuster, Stephan C -- Carter, Nigel P -- Harrow, Jennifer -- Ning, Zemin -- Herrero, Javier -- Searle, Steve M J -- Enright, Anton -- Geisler, Robert -- Plasterk, Ronald H A -- Lee, Charles -- Westerfield, Monte -- de Jong, Pieter J -- Zon, Leonard I -- Postlethwait, John H -- Nusslein-Volhard, Christiane -- Hubbard, Tim J P -- Roest Crollius, Hugues -- Rogers, Jane -- Stemple, Derek L -- 095908/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- 1 R01 DK55377-01A1/DK/NIDDK NIH HHS/ -- P01 HD022486/HD/NICHD NIH HHS/ -- P01 HD22486/HD/NICHD NIH HHS/ -- R01 GM085318/GM/NIGMS NIH HHS/ -- R01 OD011116/OD/NIH HHS/ -- R01 RR010715/RR/NCRR NIH HHS/ -- R01 RR020833/RR/NCRR NIH HHS/ -- England -- Nature. 2013 Apr 25;496(7446):498-503. doi: 10.1038/nature12111. Epub 2013 Apr 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23594743" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosomes/genetics ; Conserved Sequence/*genetics ; Evolution, Molecular ; Female ; Genes/genetics ; Genome/*genetics ; Genome, Human/genetics ; Genomics ; Humans ; Male ; Meiosis/genetics ; Molecular Sequence Annotation ; Pseudogenes/genetics ; Reference Standards ; Sex Determination Processes/genetics ; Zebrafish/*genetics ; Zebrafish Proteins/genetics
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 61
    Publication Date: 2013-04-26
    Description: Transcript function is determined by sequence elements arranged on an individual RNA molecule. Variation in transcripts can affect messenger RNA stability, localization and translation, or produce truncated proteins that differ in localization or function. Given the existence of overlapping, variable transcript isoforms, determining the functional impact of the transcriptome requires identification of full-length transcripts, rather than just the genomic regions that are transcribed. Here, by jointly determining both transcript ends for millions of RNA molecules, we reveal an extensive layer of isoform diversity previously hidden among overlapping RNA molecules. Variation in transcript boundaries seems to be the rule rather than the exception, even within a single population of yeast cells. Over 26 major transcript isoforms per protein-coding gene were expressed in yeast. Hundreds of short coding RNAs and truncated versions of proteins are concomitantly encoded by alternative transcript isoforms, increasing protein diversity. In addition, approximately 70% of genes express alternative isoforms that vary in post-transcriptional regulatory elements, and tandem genes frequently produce overlapping or even bicistronic transcripts. This extensive transcript diversity is generated by a relatively simple eukaryotic genome with limited splicing, and within a genetically homogeneous population of cells. Our findings have implications for genome compaction, evolution and phenotypic diversity between single cells. These data also indicate that isoform diversity as well as RNA abundance should be considered when assessing the functional repertoire of genomes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705217/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705217/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pelechano, Vicent -- Wei, Wu -- Steinmetz, Lars M -- P01 HG000205/HG/NHGRI NIH HHS/ -- R01 GM068717/GM/NIGMS NIH HHS/ -- England -- Nature. 2013 May 2;497(7447):127-31. doi: 10.1038/nature12121. Epub 2013 Apr 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genome Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23615609" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing/*genetics ; Fungal Proteins/genetics ; *Gene Expression Profiling ; Genes, Fungal/genetics ; Genome, Fungal/genetics ; Genomics ; Protein Isoforms/genetics ; RNA, Fungal/*analysis/*genetics ; RNA, Messenger/analysis/genetics ; Regulatory Sequences, Ribonucleic Acid/genetics ; Saccharomyces cerevisiae/*genetics ; Transcription, Genetic/*genetics ; Transcriptome/*genetics
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 62
    Publication Date: 2013-12-20
    Description: Sugar beet (Beta vulgaris ssp. vulgaris) is an important crop of temperate climates which provides nearly 30% of the world's annual sugar production and is a source for bioethanol and animal feed. The species belongs to the order of Caryophylalles, is diploid with 2n = 18 chromosomes, has an estimated genome size of 714-758 megabases and shares an ancient genome triplication with other eudicot plants. Leafy beets have been cultivated since Roman times, but sugar beet is one of the most recently domesticated crops. It arose in the late eighteenth century when lines accumulating sugar in the storage root were selected from crosses made with chard and fodder beet. Here we present a reference genome sequence for sugar beet as the first non-rosid, non-asterid eudicot genome, advancing comparative genomics and phylogenetic reconstructions. The genome sequence comprises 567 megabases, of which 85% could be assigned to chromosomes. The assembly covers a large proportion of the repetitive sequence content that was estimated to be 63%. We predicted 27,421 protein-coding genes supported by transcript data and annotated them on the basis of sequence homology. Phylogenetic analyses provided evidence for the separation of Caryophyllales before the split of asterids and rosids, and revealed lineage-specific gene family expansions and losses. We sequenced spinach (Spinacia oleracea), another Caryophyllales species, and validated features that separate this clade from rosids and asterids. Intraspecific genomic variation was analysed based on the genome sequences of sea beet (Beta vulgaris ssp. maritima; progenitor of all beet crops) and four additional sugar beet accessions. We identified seven million variant positions in the reference genome, and also large regions of low variability, indicating artificial selection. The sugar beet genome sequence enables the identification of genes affecting agronomically relevant traits, supports molecular breeding and maximizes the plant's potential in energy biotechnology.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dohm, Juliane C -- Minoche, Andre E -- Holtgrawe, Daniela -- Capella-Gutierrez, Salvador -- Zakrzewski, Falk -- Tafer, Hakim -- Rupp, Oliver -- Sorensen, Thomas Rosleff -- Stracke, Ralf -- Reinhardt, Richard -- Goesmann, Alexander -- Kraft, Thomas -- Schulz, Britta -- Stadler, Peter F -- Schmidt, Thomas -- Gabaldon, Toni -- Lehrach, Hans -- Weisshaar, Bernd -- Himmelbauer, Heinz -- England -- Nature. 2014 Jan 23;505(7484):546-9. doi: 10.1038/nature12817. Epub 2013 Dec 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany [2] Centre for Genomic Regulation (CRG), C. Dr. Aiguader 88, 08003 Barcelona, Spain [3] Universitat Pompeu Fabra (UPF), C. Dr. Aiguader 88, 08003 Barcelona, Spain [4]. ; Bielefeld University, CeBiTec and Department of Biology, Universitatsstrasse 25, 33615 Bielefeld, Germany. ; 1] Centre for Genomic Regulation (CRG), C. Dr. Aiguader 88, 08003 Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), C. Dr. Aiguader 88, 08003 Barcelona, Spain. ; TU Dresden, Department of Biology, Zellescher Weg 20b, 01217 Dresden, Germany. ; University of Leipzig, Department of Computer Science, Hartelstrasse 16-18, 04107 Leipzig, Germany. ; Max Planck Genome Centre Cologne, Carl-von-Linne-Weg 10, 50829 Koln, Germany. ; Syngenta, Box 302, 26123 Landskrona, Sweden. ; KWS SAAT AG, Grimsehlstrasse 31, 37574 Einbeck, Germany. ; 1] Centre for Genomic Regulation (CRG), C. Dr. Aiguader 88, 08003 Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), C. Dr. Aiguader 88, 08003 Barcelona, Spain [3] Institucio Catalana de Recerca i Estudis Avancats (ICREA), Pg. Lluis Companys 23, 08010 Barcelona, Spain. ; Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany. ; 1] Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany [2] Centre for Genomic Regulation (CRG), C. Dr. Aiguader 88, 08003 Barcelona, Spain [3] Universitat Pompeu Fabra (UPF), C. Dr. Aiguader 88, 08003 Barcelona, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24352233" target="_blank"〉PubMed〈/a〉
    Keywords: Beta vulgaris/*genetics ; Biofuels/supply & distribution ; Carbohydrate Metabolism ; Chromosomes, Plant/genetics ; Crops, Agricultural/*genetics ; Ethanol/metabolism ; Genome, Plant/*genetics ; Genomics ; In Situ Hybridization, Fluorescence ; Molecular Sequence Data ; Phylogeny ; Sequence Analysis, DNA ; Spinacia oleracea/genetics
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  • 63
    Publication Date: 2013-06-25
    Description: Genetic changes underlying clear cell renal cell carcinoma (ccRCC) include alterations in genes controlling cellular oxygen sensing (for example, VHL) and the maintenance of chromatin states (for example, PBRM1). We surveyed more than 400 tumours using different genomic platforms and identified 19 significantly mutated genes. The PI(3)K/AKT pathway was recurrently mutated, suggesting this pathway as a potential therapeutic target. Widespread DNA hypomethylation was associated with mutation of the H3K36 methyltransferase SETD2, and integrative analysis suggested that mutations involving the SWI/SNF chromatin remodelling complex (PBRM1, ARID1A, SMARCA4) could have far-reaching effects on other pathways. Aggressive cancers demonstrated evidence of a metabolic shift, involving downregulation of genes involved in the TCA cycle, decreased AMPK and PTEN protein levels, upregulation of the pentose phosphate pathway and the glutamine transporter genes, increased acetyl-CoA carboxylase protein, and altered promoter methylation of miR-21 (also known as MIR21) and GRB10. Remodelling cellular metabolism thus constitutes a recurrent pattern in ccRCC that correlates with tumour stage and severity and offers new views on the opportunities for disease treatment.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771322/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771322/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cancer Genome Atlas Research Network -- K24 CA172355/CA/NCI NIH HHS/ -- P30 CA016672/CA/NCI NIH HHS/ -- R01 CA068490/CA/NCI NIH HHS/ -- R01 HG005690/HG/NHGRI NIH HHS/ -- T32 CA071341/CA/NCI NIH HHS/ -- T32 CA082088/CA/NCI NIH HHS/ -- U24 CA143799/CA/NCI NIH HHS/ -- U24 CA143835/CA/NCI NIH HHS/ -- U24 CA143840/CA/NCI NIH HHS/ -- U24 CA143843/CA/NCI NIH HHS/ -- U24 CA143845/CA/NCI NIH HHS/ -- U24 CA143848/CA/NCI NIH HHS/ -- U24 CA143858/CA/NCI NIH HHS/ -- U24 CA143866/CA/NCI NIH HHS/ -- U24 CA143867/CA/NCI NIH HHS/ -- U24 CA143882/CA/NCI NIH HHS/ -- U24 CA143883/CA/NCI NIH HHS/ -- U24 CA144025/CA/NCI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- UL1 TR000005/TR/NCATS NIH HHS/ -- England -- Nature. 2013 Jul 4;499(7456):43-9. doi: 10.1038/nature12222. Epub 2013 Jun 23.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23792563" target="_blank"〉PubMed〈/a〉
    Keywords: AMP-Activated Protein Kinases/metabolism ; Acetyl-CoA Carboxylase/metabolism ; Carcinoma, Renal Cell/classification/*genetics/*metabolism/pathology ; Chromatin/genetics/metabolism ; Chromatin Assembly and Disassembly/genetics ; Citric Acid Cycle/genetics ; DNA Methylation/genetics ; DNA Mutational Analysis ; Epigenesis, Genetic/genetics ; GRB10 Adaptor Protein/genetics ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genome, Human/genetics ; Genomics ; Histone-Lysine N-Methyltransferase/genetics/metabolism ; Humans ; Metabolic Networks and Pathways/genetics ; MicroRNAs/genetics ; Mutation ; PTEN Phosphohydrolase/metabolism ; Pentose Phosphate Pathway/genetics ; Phosphatidylinositol 3-Kinases/metabolism ; Proto-Oncogene Proteins c-akt/metabolism ; RNA, Neoplasm/analysis/genetics ; Signal Transduction/genetics ; Survival Analysis
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  • 64
    Publication Date: 2014-09-05
    Description: Cichlid fishes are famous for large, diverse and replicated adaptive radiations in the Great Lakes of East Africa. To understand the molecular mechanisms underlying cichlid phenotypic diversity, we sequenced the genomes and transcriptomes of five lineages of African cichlids: the Nile tilapia (Oreochromis niloticus), an ancestral lineage with low diversity; and four members of the East African lineage: Neolamprologus brichardi/pulcher (older radiation, Lake Tanganyika), Metriaclima zebra (recent radiation, Lake Malawi), Pundamilia nyererei (very recent radiation, Lake Victoria), and Astatotilapia burtoni (riverine species around Lake Tanganyika). We found an excess of gene duplications in the East African lineage compared to tilapia and other teleosts, an abundance of non-coding element divergence, accelerated coding sequence evolution, expression divergence associated with transposable element insertions, and regulation by novel microRNAs. In addition, we analysed sequence data from sixty individuals representing six closely related species from Lake Victoria, and show genome-wide diversifying selection on coding and regulatory variants, some of which were recruited from ancient polymorphisms. We conclude that a number of molecular mechanisms shaped East African cichlid genomes, and that amassing of standing variation during periods of relaxed purifying selection may have been important in facilitating subsequent evolutionary diversification.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353498/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353498/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brawand, David -- Wagner, Catherine E -- Li, Yang I -- Malinsky, Milan -- Keller, Irene -- Fan, Shaohua -- Simakov, Oleg -- Ng, Alvin Y -- Lim, Zhi Wei -- Bezault, Etienne -- Turner-Maier, Jason -- Johnson, Jeremy -- Alcazar, Rosa -- Noh, Hyun Ji -- Russell, Pamela -- Aken, Bronwen -- Alfoldi, Jessica -- Amemiya, Chris -- Azzouzi, Naoual -- Baroiller, Jean-Francois -- Barloy-Hubler, Frederique -- Berlin, Aaron -- Bloomquist, Ryan -- Carleton, Karen L -- Conte, Matthew A -- D'Cotta, Helena -- Eshel, Orly -- Gaffney, Leslie -- Galibert, Francis -- Gante, Hugo F -- Gnerre, Sante -- Greuter, Lucie -- Guyon, Richard -- Haddad, Natalie S -- Haerty, Wilfried -- Harris, Rayna M -- Hofmann, Hans A -- Hourlier, Thibaut -- Hulata, Gideon -- Jaffe, David B -- Lara, Marcia -- Lee, Alison P -- MacCallum, Iain -- Mwaiko, Salome -- Nikaido, Masato -- Nishihara, Hidenori -- Ozouf-Costaz, Catherine -- Penman, David J -- Przybylski, Dariusz -- Rakotomanga, Michaelle -- Renn, Suzy C P -- Ribeiro, Filipe J -- Ron, Micha -- Salzburger, Walter -- Sanchez-Pulido, Luis -- Santos, M Emilia -- Searle, Steve -- Sharpe, Ted -- Swofford, Ross -- Tan, Frederick J -- Williams, Louise -- Young, Sarah -- Yin, Shuangye -- Okada, Norihiro -- Kocher, Thomas D -- Miska, Eric A -- Lander, Eric S -- Venkatesh, Byrappa -- Fernald, Russell D -- Meyer, Axel -- Ponting, Chris P -- Streelman, J Todd -- Lindblad-Toh, Kerstin -- Seehausen, Ole -- Di Palma, Federica -- 2R01DE019637-04/DE/NIDCR NIH HHS/ -- F30 DE023013/DE/NIDCR NIH HHS/ -- MC_U137761446/Medical Research Council/United Kingdom -- R01 DE019637/DE/NIDCR NIH HHS/ -- R01 NS034950/NS/NINDS NIH HHS/ -- U54 HG002045/HG/NHGRI NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Sep 18;513(7518):375-81. doi: 10.1038/nature13726. Epub 2014 Sep 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] MRC Functional Genomics Unit, University of Oxford, Oxford OX1 3QX, UK [3]. ; 1] Department of Fish Ecology and Evolution, Eawag Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution &Biogeochemistry, CH-6047 Kastanienbaum, Switzerland [2] Division of Aquatic Ecology, Institute of Ecology &Evolution, University of Bern, CH-3012 Bern, Switzerland [3]. ; 1] MRC Functional Genomics Unit, University of Oxford, Oxford OX1 3QX, UK [2]. ; 1] Gurdon Institute, Cambridge CB2 1QN, UK [2] Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK. ; Division of Aquatic Ecology, Institute of Ecology &Evolution, University of Bern, CH-3012 Bern, Switzerland. ; Department of Biology, University of Konstanz, D-78457 Konstanz, Germany. ; 1] Department of Biology, University of Konstanz, D-78457 Konstanz, Germany [2] European Molecular Biology Laboratory, 69117 Heidelberg, Germany. ; Institute of Molecular and Cell Biology, A*STAR, 138673 Singapore. ; Department of Biology, Reed College, Portland, Oregon 97202, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; Biology Department, Stanford University, Stanford, California 94305-5020, USA. ; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA. ; Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK. ; Benaroya Research Institute at Virginia Mason, Seattle, Washington 98101, USA. ; Institut Genetique et Developpement, CNRS/University of Rennes, 35043 Rennes, France. ; CIRAD, Campus International de Baillarguet, TA B-110/A, 34398 Montpellier cedex 5, France. ; School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332-0230, USA. ; Department of Biology, University of Maryland, College Park, Maryland 20742, USA. ; Animal Genetics, Institute of Animal Science, ARO, The Volcani Center, Bet-Dagan, 50250 Israel. ; Zoological Institute, University of Basel, CH-4051 Basel, Switzerland. ; 1] Department of Fish Ecology and Evolution, Eawag Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution &Biogeochemistry, CH-6047 Kastanienbaum, Switzerland [2] Division of Aquatic Ecology, Institute of Ecology &Evolution, University of Bern, CH-3012 Bern, Switzerland. ; MRC Functional Genomics Unit, University of Oxford, Oxford OX1 3QX, UK. ; Department of Integrative Biology, Center for Computational Biology and Bioinformatics; The University of Texas at Austin, Austin, Texas 78712, USA. ; Department of Fish Ecology and Evolution, Eawag Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution &Biogeochemistry, CH-6047 Kastanienbaum, Switzerland. ; Department of Biological Sciences, Tokyo Institute of Technology, Tokyo, 226-8501 Yokohama, Japan. ; Systematique, Adaptation, Evolution, National Museum of Natural History, 75005 Paris, France. ; Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK. ; Carnegie Institution of Washington, Department of Embryology, 3520 San Martin Drive Baltimore, Maryland 21218, USA. ; 1] Department of Biological Sciences, Tokyo Institute of Technology, Tokyo, 226-8501 Yokohama, Japan [2] National Cheng Kung University, Tainan City, 704 Taiwan. ; Gurdon Institute, Cambridge CB2 1QN, UK. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Vertebrate and Health Genomics, The Genome Analysis Centre, Norwich NR18 7UH, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25186727" target="_blank"〉PubMed〈/a〉
    Keywords: Africa, Eastern ; Animals ; Cichlids/*classification/*genetics ; DNA Transposable Elements/genetics ; *Evolution, Molecular ; Gene Duplication/genetics ; Gene Expression Regulation/genetics ; *Genetic Speciation ; Genome/*genetics ; Genomics ; Lakes ; MicroRNAs/genetics ; Phylogeny ; Polymorphism, Genetic/genetics
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  • 65
    Publication Date: 2014-01-28
    Description: Only a very small fraction of long noncoding RNAs (lncRNAs) are well characterized. The evolutionary history of lncRNAs can provide insights into their functionality, but the absence of lncRNA annotations in non-model organisms has precluded comparative analyses. Here we present a large-scale evolutionary study of lncRNA repertoires and expression patterns, in 11 tetrapod species. We identify approximately 11,000 primate-specific lncRNAs and 2,500 highly conserved lncRNAs, including approximately 400 genes that are likely to have originated more than 300 million years ago. We find that lncRNAs, in particular ancient ones, are in general actively regulated and may function predominantly in embryonic development. Most lncRNAs evolve rapidly in terms of sequence and expression levels, but tissue specificities are often conserved. We compared expression patterns of homologous lncRNA and protein-coding families across tetrapods to reconstruct an evolutionarily conserved co-expression network. This network suggests potential functions for lncRNAs in fundamental processes such as spermatogenesis and synaptic transmission, but also in more specific mechanisms such as placenta development through microRNA production.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Necsulea, Anamaria -- Soumillon, Magali -- Warnefors, Maria -- Liechti, Angelica -- Daish, Tasman -- Zeller, Ulrich -- Baker, Julie C -- Grutzner, Frank -- Kaessmann, Henrik -- 099175/Z/12/Z/Wellcome Trust/United Kingdom -- Medical Research Council/United Kingdom -- England -- Nature. 2014 Jan 30;505(7485):635-40. doi: 10.1038/nature12943. Epub 2014 Jan 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland [2] Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland [3] Laboratory of Developmental Genomics, Ecole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland (A.N.); Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA, and Broad Institute, Cambridge, Massachusetts 02142, USA (M.S.). ; 1] Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland [2] Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. ; The Robinson Institute, School of Molecular and Biomedical Science, University of Adelaide, Adelaide, South Australia 5005, Australia. ; Department of Systematic Zoology, Faculty of Agriculture and Horticulture, Humboldt University Berlin, 10099 Berlin, Germany. ; Department of Genetics, Stanford University School of Medicine, Stanford University, Stanford, California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463510" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Anura/genetics ; Chickens/genetics ; Conserved Sequence/genetics ; *Evolution, Molecular ; Gene Expression Regulation, Developmental/genetics ; Genomics ; Humans ; Mice ; MicroRNAs/genetics ; Multigene Family ; Primates/genetics ; Proteins/genetics ; RNA Precursors/genetics ; RNA, Long Noncoding/*genetics ; Transcriptome
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  • 66
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2014-10-31
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2014 Oct 30;514(7524):548. doi: 10.1038/514548a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25355341" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Drug Discovery/*methods ; Genetics, Medical/*methods ; Genetics, Population ; Genome, Human/*genetics ; Genomics ; Humans ; Molecular Targeted Therapy ; Mutation/*genetics
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  • 67
    Publication Date: 2014-03-29
    Description: Oesophageal cancer is one of the most aggressive cancers and is the sixth leading cause of cancer death worldwide. Approximately 70% of global oesophageal cancer cases occur in China, with oesophageal squamous cell carcinoma (ESCC) being the histopathological form in the vast majority of cases (〉90%). Currently, there are limited clinical approaches for the early diagnosis and treatment of ESCC, resulting in a 10% five-year survival rate for patients. However, the full repertoire of genomic events leading to the pathogenesis of ESCC remains unclear. Here we describe a comprehensive genomic analysis of 158 ESCC cases, as part of the International Cancer Genome Consortium research project. We conducted whole-genome sequencing in 17 ESCC cases and whole-exome sequencing in 71 cases, of which 53 cases, plus an additional 70 ESCC cases not used in the whole-genome and whole-exome sequencing, were subjected to array comparative genomic hybridization analysis. We identified eight significantly mutated genes, of which six are well known tumour-associated genes (TP53, RB1, CDKN2A, PIK3CA, NOTCH1, NFE2L2), and two have not previously been described in ESCC (ADAM29 and FAM135B). Notably, FAM135B is identified as a novel cancer-implicated gene as assayed for its ability to promote malignancy of ESCC cells. Additionally, MIR548K, a microRNA encoded in the amplified 11q13.3-13.4 region, is characterized as a novel oncogene, and functional assays demonstrate that MIR548K enhances malignant phenotypes of ESCC cells. Moreover, we have found that several important histone regulator genes (MLL2 (also called KMT2D), ASH1L, MLL3 (KMT2C), SETD1B, CREBBP and EP300) are frequently altered in ESCC. Pathway assessment reveals that somatic aberrations are mainly involved in the Wnt, cell cycle and Notch pathways. Genomic analyses suggest that ESCC and head and neck squamous cell carcinoma share some common pathogenic mechanisms, and ESCC development is associated with alcohol drinking. This study has explored novel biological markers and tumorigenic pathways that would greatly improve therapeutic strategies for ESCC.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Song, Yongmei -- Li, Lin -- Ou, Yunwei -- Gao, Zhibo -- Li, Enmin -- Li, Xiangchun -- Zhang, Weimin -- Wang, Jiaqian -- Xu, Liyan -- Zhou, Yong -- Ma, Xiaojuan -- Liu, Lingyan -- Zhao, Zitong -- Huang, Xuanlin -- Fan, Jing -- Dong, Lijia -- Chen, Gang -- Ma, Liying -- Yang, Jie -- Chen, Longyun -- He, Minghui -- Li, Miao -- Zhuang, Xuehan -- Huang, Kai -- Qiu, Kunlong -- Yin, Guangliang -- Guo, Guangwu -- Feng, Qiang -- Chen, Peishan -- Wu, Zhiyong -- Wu, Jianyi -- Ma, Ling -- Zhao, Jinyang -- Luo, Longhai -- Fu, Ming -- Xu, Bainan -- Chen, Bo -- Li, Yingrui -- Tong, Tong -- Wang, Mingrong -- Liu, Zhihua -- Lin, Dongxin -- Zhang, Xiuqing -- Yang, Huanming -- Wang, Jun -- Zhan, Qimin -- England -- Nature. 2014 May 1;509(7498):91-5. doi: 10.1038/nature13176. Epub 2014 Mar 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China [2]. ; 1] BGI-Shenzhen, Shenzhen 518083, Guangdong 518083, China [2]. ; 1] State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China [2] Department of Neurosurgery, Chinese PLA General Hospital, Beijing 100853, China [3]. ; 1] Department of Biochemistry and Molecular Biology, The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, Guangdong, China [2]. ; State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China. ; BGI-Shenzhen, Shenzhen 518083, Guangdong 518083, China. ; Institute of Oncologic Pathology, Shantou University Medical College, Shantou 515041, Guangdong, China. ; Department of Tumor Surgery, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou 515041, Guangdong, China. ; Department of Biochemistry and Molecular Biology, The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, Guangdong, China. ; Department of Neurosurgery, Chinese PLA General Hospital, Beijing 100853, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24670651" target="_blank"〉PubMed〈/a〉
    Keywords: Alcohol Drinking/adverse effects ; Biomarkers, Tumor/genetics ; Carcinoma, Squamous Cell/*genetics/pathology ; Cell Cycle/genetics ; Chromosomes, Human, Pair 11/genetics ; Comparative Genomic Hybridization ; DNA Copy Number Variations/genetics ; Esophageal Neoplasms/*genetics/pathology ; Exome/genetics ; Female ; Genome, Human/*genetics ; Genomics ; Histones/metabolism ; Humans ; Male ; MicroRNAs/genetics ; Mutation/*genetics ; Oncogenes/genetics ; Phenotype ; Receptors, Notch/genetics ; Risk Factors ; Wnt Signaling Pathway/genetics
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  • 68
    facet.materialart.
    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2014-07-25
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reardon, Sara -- England -- Nature. 2014 Jul 24;511(7510):393. doi: 10.1038/511393a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25056042" target="_blank"〉PubMed〈/a〉
    Keywords: Academies and Institutes/economics ; Biomedical Research/*economics ; European Continental Ancestry Group/genetics ; Fund Raising ; Genetic Predisposition to Disease/*genetics ; Genetics, Medical/economics ; Genomics ; Humans ; Schizophrenia/diagnosis/*genetics/immunology
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  • 69
    Publication Date: 2014-01-10
    Description: The emergence of jawed vertebrates (gnathostomes) from jawless vertebrates was accompanied by major morphological and physiological innovations, such as hinged jaws, paired fins and immunoglobulin-based adaptive immunity. Gnathostomes subsequently diverged into two groups, the cartilaginous fishes and the bony vertebrates. Here we report the whole-genome analysis of a cartilaginous fish, the elephant shark (Callorhinchus milii). We find that the C. milii genome is the slowest evolving of all known vertebrates, including the 'living fossil' coelacanth, and features extensive synteny conservation with tetrapod genomes, making it a good model for comparative analyses of gnathostome genomes. Our functional studies suggest that the lack of genes encoding secreted calcium-binding phosphoproteins in cartilaginous fishes explains the absence of bone in their endoskeleton. Furthermore, the adaptive immune system of cartilaginous fishes is unusual: it lacks the canonical CD4 co-receptor and most transcription factors, cytokines and cytokine receptors related to the CD4 lineage, despite the presence of polymorphic major histocompatibility complex class II molecules. It thus presents a new model for understanding the origin of adaptive immunity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964593/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964593/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Venkatesh, Byrappa -- Lee, Alison P -- Ravi, Vydianathan -- Maurya, Ashish K -- Lian, Michelle M -- Swann, Jeremy B -- Ohta, Yuko -- Flajnik, Martin F -- Sutoh, Yoichi -- Kasahara, Masanori -- Hoon, Shawn -- Gangu, Vamshidhar -- Roy, Scott W -- Irimia, Manuel -- Korzh, Vladimir -- Kondrychyn, Igor -- Lim, Zhi Wei -- Tay, Boon-Hui -- Tohari, Sumanty -- Kong, Kiat Whye -- Ho, Shufen -- Lorente-Galdos, Belen -- Quilez, Javier -- Marques-Bonet, Tomas -- Raney, Brian J -- Ingham, Philip W -- Tay, Alice -- Hillier, LaDeana W -- Minx, Patrick -- Boehm, Thomas -- Wilson, Richard K -- Brenner, Sydney -- Warren, Wesley C -- AI27877/AI/NIAID NIH HHS/ -- R01 AI027877/AI/NIAID NIH HHS/ -- R01 OD010549/OD/NIH HHS/ -- RR006603/RR/NCRR NIH HHS/ -- U41 HG002371/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Jan 9;505(7482):174-9. doi: 10.1038/nature12826.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Comparative Genomics Laboratory, Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673 [2] Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228. ; Comparative Genomics Laboratory, Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673. ; Developmental and Biomedical Genetics Laboratory, Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673. ; Department of Developmental Immunology, Max-Planck-Institute of Immunobiology and Epigenetics, Stuebeweg 51, 79108 Freiburg, Germany. ; Department of Microbiology and Immunology, University of Maryland, Baltimore, Maryland 21201, USA. ; Department of Pathology, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan. ; Molecular Engineering Laboratory, Biomedical Sciences Institutes, A*STAR, Biopolis, Singapore 138673. ; Department of Biology, San Francisco State University, San Francisco, California 94132, USA. ; Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada. ; Fish Developmental Biology Laboratory, Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673. ; 1] Institut de Biologia Evolutiva (UPF-CSIC), PRBB, 08003 Barcelona, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain. ; Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA. ; The Genome Institute at Washington University, St Louis, Missouri 63108, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24402279" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Calcium/metabolism ; Cell Lineage/immunology ; *Evolution, Molecular ; Fish Proteins/classification/genetics ; Gene Deletion ; Genome/*genetics ; Genomics ; Immunity, Cellular/genetics ; Molecular Sequence Annotation ; Molecular Sequence Data ; Osteogenesis/genetics ; Phosphoproteins/genetics/metabolism ; Phylogeny ; Protein Structure, Tertiary/genetics ; Sharks/*genetics/immunology ; T-Lymphocytes/cytology/immunology ; Time Factors ; Vertebrates/classification/genetics ; Zebrafish/genetics/growth & development
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  • 70
    Publication Date: 2014-01-31
    Description: Genomic studies have shown that Neanderthals interbred with modern humans, and that non-Africans today are the products of this mixture. The antiquity of Neanderthal gene flow into modern humans means that genomic regions that derive from Neanderthals in any one human today are usually less than a hundred kilobases in size. However, Neanderthal haplotypes are also distinctive enough that several studies have been able to detect Neanderthal ancestry at specific loci. We systematically infer Neanderthal haplotypes in the genomes of 1,004 present-day humans. Regions that harbour a high frequency of Neanderthal alleles are enriched for genes affecting keratin filaments, suggesting that Neanderthal alleles may have helped modern humans to adapt to non-African environments. We identify multiple Neanderthal-derived alleles that confer risk for disease, suggesting that Neanderthal alleles continue to shape human biology. An unexpected finding is that regions with reduced Neanderthal ancestry are enriched in genes, implying selection to remove genetic material derived from Neanderthals. Genes that are more highly expressed in testes than in any other tissue are especially reduced in Neanderthal ancestry, and there is an approximately fivefold reduction of Neanderthal ancestry on the X chromosome, which is known from studies of diverse species to be especially dense in male hybrid sterility genes. These results suggest that part of the explanation for genomic regions of reduced Neanderthal ancestry is Neanderthal alleles that caused decreased fertility in males when moved to a modern human genetic background.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072735/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072735/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sankararaman, Sriram -- Mallick, Swapan -- Dannemann, Michael -- Prufer, Kay -- Kelso, Janet -- Paabo, Svante -- Patterson, Nick -- Reich, David -- GM100233/GM/NIGMS NIH HHS/ -- R01 GM100233/GM/NIGMS NIH HHS/ -- R01 HG006399/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Mar 20;507(7492):354-7. doi: 10.1038/nature12961. Epub 2014 Jan 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA. ; Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany. ; 1] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA [3] Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24476815" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Female ; Gene Flow/genetics ; Genetic Predisposition to Disease/*genetics ; Genome, Human/*genetics ; Genomics ; Haplotypes/genetics ; Humans ; *Hybridization, Genetic ; Infertility, Male/*genetics ; Keratins/genetics ; Male ; Neanderthals/*genetics ; Organ Specificity ; *Phylogeny ; Selection, Genetic/*genetics ; Testis/metabolism ; X Chromosome/genetics
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  • 71
    Publication Date: 2014-10-04
    Description: The varied topography of human skin offers a unique opportunity to study how the body's microenvironments influence the functional and taxonomic composition of microbial communities. Phylogenetic marker gene-based studies have identified many bacteria and fungi that colonize distinct skin niches. Here metagenomic analyses of diverse body sites in healthy humans demonstrate that local biogeography and strong individuality define the skin microbiome. We developed a relational analysis of bacterial, fungal and viral communities, which showed not only site specificity but also individual signatures. We further identified strain-level variation of dominant species as heterogeneous and multiphyletic. Reference-free analyses captured the uncharacterized metagenome through the development of a multi-kingdom gene catalogue, which was used to uncover genetic signatures of species lacking reference genomes. This work is foundational for human disease studies investigating inter-kingdom interactions, metabolic changes and strain tracking, and defines the dual influence of biogeography and individuality on microbial composition and function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4185404/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4185404/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Oh, Julia -- Byrd, Allyson L -- Deming, Clay -- Conlan, Sean -- NISC Comparative Sequencing Program -- Kong, Heidi H -- Segre, Julia A -- 1K99AR059222/AR/NIAMS NIH HHS/ -- 1UH2AR057504-01/AR/NIAMS NIH HHS/ -- 4UH3AR057504-02/AR/NIAMS NIH HHS/ -- ZIA BC010938-06/Intramural NIH HHS/ -- ZIA HG000180-13/Intramural NIH HHS/ -- England -- Nature. 2014 Oct 2;514(7520):59-64. doi: 10.1038/nature13786.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Translational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA. ; 1] Dermatology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland 20892, USA [2]. ; 1] Translational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA [2].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25279917" target="_blank"〉PubMed〈/a〉
    Keywords: Bacteriophages/genetics/isolation & purification ; Female ; Genome, Bacterial/genetics ; Genome, Fungal/genetics ; Genome, Viral/genetics ; Genomics ; Healthy Volunteers ; Humans ; Male ; *Metagenome/genetics ; Phylogeny ; Propionibacterium acnes/genetics/isolation & purification/virology ; Skin/*microbiology/*virology ; Staphylococcus epidermidis/genetics/isolation & purification/virology ; Symbiosis
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  • 72
    Publication Date: 2014-04-18
    Description: The mammalian lung is a highly branched network in which the distal regions of the bronchial tree transform during development into a densely packed honeycomb of alveolar air sacs that mediate gas exchange. Although this transformation has been studied by marker expression analysis and fate-mapping, the mechanisms that control the progression of lung progenitors along distinct lineages into mature alveolar cell types are still incompletely known, in part because of the limited number of lineage markers and the effects of ensemble averaging in conventional transcriptome analysis experiments on cell populations. Here we show that single-cell transcriptome analysis circumvents these problems and enables direct measurement of the various cell types and hierarchies in the developing lung. We used microfluidic single-cell RNA sequencing (RNA-seq) on 198 individual cells at four different stages encompassing alveolar differentiation to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We empirically classified cells into distinct groups by using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or the previous purification of cell populations. The results confirmed the basic outlines of the classical model of epithelial cell-type diversity in the distal lung and led to the discovery of many previously unknown cell-type markers, including transcriptional regulators that discriminate between the different populations. We reconstructed the molecular steps during maturation of bipotential progenitors along both alveolar lineages and elucidated the full life cycle of the alveolar type 2 cell lineage. This single-cell genomics approach is applicable to any developing or mature tissue to robustly delineate molecularly distinct cell types, define progenitors and lineage hierarchies, and identify lineage-specific regulatory factors.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145853/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145853/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Treutlein, Barbara -- Brownfield, Doug G -- Wu, Angela R -- Neff, Norma F -- Mantalas, Gary L -- Espinoza, F Hernan -- Desai, Tushar J -- Krasnow, Mark A -- Quake, Stephen R -- 5K08HL084095/HL/NHLBI NIH HHS/ -- K08 HL084095/HL/NHLBI NIH HHS/ -- T32 HD007249/HD/NICHD NIH HHS/ -- T32HD007249/HD/NICHD NIH HHS/ -- U01 HL099995/HL/NHLBI NIH HHS/ -- U01 HL099999/HL/NHLBI NIH HHS/ -- U01HL099995/HL/NHLBI NIH HHS/ -- U01HL099999/HL/NHLBI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 May 15;509(7500):371-5. doi: 10.1038/nature13173. Epub 2014 Apr 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Departments of Bioengineering and Applied Physics, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA [2]. ; 1] Department of Biochemistry, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA [2]. ; Departments of Bioengineering and Applied Physics, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA. ; Department of Biochemistry, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA. ; Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Stanford University School of Medicine, Stanford, California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24739965" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bronchi/cytology ; Cell Differentiation/genetics ; Cell Lineage/*genetics ; Epithelial Cells/classification/*cytology/*metabolism ; Female ; Genetic Markers ; Genome/genetics ; Genomics ; Lung/*cytology/embryology ; Mice ; Mice, Inbred C57BL ; Pulmonary Alveoli/cytology ; Pulmonary Gas Exchange ; Sequence Analysis, RNA/*methods ; Single-Cell Analysis/*methods ; Stem Cells/cytology ; Transcriptome/genetics
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  • 73
    Publication Date: 2014-04-25
    Description: Y chromosomes underlie sex determination in mammals, but their repeat-rich nature has hampered sequencing and associated evolutionary studies. Here we trace Y evolution across 15 representative mammals on the basis of high-throughput genome and transcriptome sequencing. We uncover three independent sex chromosome originations in mammals and birds (the outgroup). The original placental and marsupial (therian) Y, containing the sex-determining gene SRY, emerged in the therian ancestor approximately 180 million years ago, in parallel with the first of five monotreme Y chromosomes, carrying the probable sex-determining gene AMH. The avian W chromosome arose approximately 140 million years ago in the bird ancestor. The small Y/W gene repertoires, enriched in regulatory functions, were rapidly defined following stratification (recombination arrest) and erosion events and have remained considerably stable. Despite expression decreases in therians, Y/W genes show notable conservation of proto-sex chromosome expression patterns, although various Y genes evolved testis-specificities through differential regulatory decay. Thus, although some genes evolved novel functions through spatial/temporal expression shifts, most Y genes probably endured, at least initially, because of dosage constraints.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cortez, Diego -- Marin, Ray -- Toledo-Flores, Deborah -- Froidevaux, Laure -- Liechti, Angelica -- Waters, Paul D -- Grutzner, Frank -- Kaessmann, Henrik -- England -- Nature. 2014 Apr 24;508(7497):488-93. doi: 10.1038/nature13151.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland [2] Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. ; The Robinson Research Institute, School of Molecular and Biomedical Science, University of Adelaide, Adelaide, South Australia 5005, Australia. ; Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland. ; School of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales 2052, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24759410" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Birds/genetics ; Conserved Sequence/genetics ; *Evolution, Molecular ; Female ; Gene Dosage/genetics ; Genes, sry/genetics ; Genomics ; High-Throughput Nucleotide Sequencing ; Male ; Mammals/*genetics ; Marsupialia/genetics ; Receptors, Peptide/genetics ; Receptors, Transforming Growth Factor beta/genetics ; Selection, Genetic/genetics ; Sex Chromosomes/genetics ; Spatio-Temporal Analysis ; Spermatogenesis/genetics ; Testis/metabolism ; Transcriptome/genetics ; Y Chromosome/*genetics
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  • 74
    Publication Date: 2010-12-15
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Prud'homme, Benjamin -- Gompel, Nicolas -- England -- Nature. 2010 Dec 9;468(7325):768-9. doi: 10.1038/468768a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21150985" target="_blank"〉PubMed〈/a〉
    Keywords: Aging/genetics ; Animals ; Conserved Sequence/genetics ; Drosophila/classification/*embryology/*genetics ; *Evolution, Molecular ; *Gene Expression Profiling ; Gene Expression Regulation, Developmental/*genetics ; Genome, Insect/genetics ; Genomics ; *Models, Biological ; Oligonucleotide Array Sequence Analysis ; *Phylogeny ; Species Specificity ; Zebrafish/classification/*embryology/*genetics
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  • 75
    Publication Date: 2010-03-30
    Description: The Perigord black truffle (Tuber melanosporum Vittad.) and the Piedmont white truffle dominate today's truffle market. The hypogeous fruiting body of T. melanosporum is a gastronomic delicacy produced by an ectomycorrhizal symbiont endemic to calcareous soils in southern Europe. The worldwide demand for this truffle has fuelled intense efforts at cultivation. Identification of processes that condition and trigger fruit body and symbiosis formation, ultimately leading to efficient crop production, will be facilitated by a thorough analysis of truffle genomic traits. In the ectomycorrhizal Laccaria bicolor, the expansion of gene families may have acted as a 'symbiosis toolbox'. This feature may however reflect evolution of this particular taxon and not a general trait shared by all ectomycorrhizal species. To get a better understanding of the biology and evolution of the ectomycorrhizal symbiosis, we report here the sequence of the haploid genome of T. melanosporum, which at approximately 125 megabases is the largest and most complex fungal genome sequenced so far. This expansion results from a proliferation of transposable elements accounting for approximately 58% of the genome. In contrast, this genome only contains approximately 7,500 protein-coding genes with very rare multigene families. It lacks large sets of carbohydrate cleaving enzymes, but a few of them involved in degradation of plant cell walls are induced in symbiotic tissues. The latter feature and the upregulation of genes encoding for lipases and multicopper oxidases suggest that T. melanosporum degrades its host cell walls during colonization. Symbiosis induces an increased expression of carbohydrate and amino acid transporters in both L. bicolor and T. melanosporum, but the comparison of genomic traits in the two ectomycorrhizal fungi showed that genetic predispositions for symbiosis-'the symbiosis toolbox'-evolved along different ways in ascomycetes and basidiomycetes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Martin, Francis -- Kohler, Annegret -- Murat, Claude -- Balestrini, Raffaella -- Coutinho, Pedro M -- Jaillon, Olivier -- Montanini, Barbara -- Morin, Emmanuelle -- Noel, Benjamin -- Percudani, Riccardo -- Porcel, Bettina -- Rubini, Andrea -- Amicucci, Antonella -- Amselem, Joelle -- Anthouard, Veronique -- Arcioni, Sergio -- Artiguenave, Francois -- Aury, Jean-Marc -- Ballario, Paola -- Bolchi, Angelo -- Brenna, Andrea -- Brun, Annick -- Buee, Marc -- Cantarel, Brandi -- Chevalier, Gerard -- Couloux, Arnaud -- Da Silva, Corinne -- Denoeud, France -- Duplessis, Sebastien -- Ghignone, Stefano -- Hilselberger, Benoit -- Iotti, Mirco -- Marcais, Benoit -- Mello, Antonietta -- Miranda, Michele -- Pacioni, Giovanni -- Quesneville, Hadi -- Riccioni, Claudia -- Ruotolo, Roberta -- Splivallo, Richard -- Stocchi, Vilberto -- Tisserant, Emilie -- Viscomi, Arturo Roberto -- Zambonelli, Alessandra -- Zampieri, Elisa -- Henrissat, Bernard -- Lebrun, Marc-Henri -- Paolocci, Francesco -- Bonfante, Paola -- Ottonello, Simone -- Wincker, Patrick -- England -- Nature. 2010 Apr 15;464(7291):1033-8. doi: 10.1038/nature08867. Epub 2010 Mar 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉INRA, UMR 1136, INRA-Nancy Universite, Interactions Arbres/Microorganismes, 54280 Champenoux, France. fmartin@nancy.inra.fr〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20348908" target="_blank"〉PubMed〈/a〉
    Keywords: Ascomycota/*genetics ; Carbohydrates ; DNA Transposable Elements/genetics ; *Evolution, Molecular ; Fruiting Bodies, Fungal/metabolism ; Genes, Fungal/genetics ; Genome, Fungal/*genetics ; Genomics ; Haploidy ; Molecular Sequence Data ; Sequence Analysis, DNA ; Sulfur/metabolism ; Symbiosis/*genetics
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  • 76
    facet.materialart.
    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2010-04-16
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gray, Joe -- P50 CA058207/CA/NCI NIH HHS/ -- England -- Nature. 2010 Apr 15;464(7291):989-90. doi: 10.1038/464989a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20393550" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Brain Neoplasms/*genetics/*secondary ; Breast Neoplasms/*genetics/pathology ; DNA Copy Number Variations/genetics ; DNA Mutational Analysis ; Disease Progression ; Female ; Gene Frequency/genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Mutation/*genetics ; *Neoplasm Transplantation ; Translocation, Genetic/genetics ; Transplantation, Heterologous ; alpha Catenin/genetics
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  • 77
    facet.materialart.
    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2010-01-08
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Van Noorden, Richard -- England -- Nature. 2010 Jan 7;463(7277):12-3. doi: 10.1038/463012a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20054366" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Astronomy ; Cellular Reprogramming ; Climate ; Conservation of Natural Resources ; Embryonic Stem Cells/transplantation ; Genomics ; HIV Infections/prevention & control ; Humans ; Lasers ; Physics ; Science/*trends ; Space Flight ; Systems Biology
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  • 78
    Publication Date: 2010-02-12
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lambert, David M -- Huynen, Leon -- England -- Nature. 2010 Feb 11;463(7282):739-40. doi: 10.1038/463739a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20148020" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Cryopreservation ; Emigration and Immigration/history ; Genome, Human/*genetics ; Genomics ; Greenland ; Hair/metabolism ; History, Ancient ; Humans ; Inuits/*genetics ; Male ; Phenotype ; *Phylogeny ; Polymorphism, Single Nucleotide/genetics ; Siberia/ethnology
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  • 79
    Publication Date: 2011-09-02
    Description: The evolution of the amniotic egg was one of the great evolutionary innovations in the history of life, freeing vertebrates from an obligatory connection to water and thus permitting the conquest of terrestrial environments. Among amniotes, genome sequences are available for mammals and birds, but not for non-avian reptiles. Here we report the genome sequence of the North American green anole lizard, Anolis carolinensis. We find that A. carolinensis microchromosomes are highly syntenic with chicken microchromosomes, yet do not exhibit the high GC and low repeat content that are characteristic of avian microchromosomes. Also, A. carolinensis mobile elements are very young and diverse-more so than in any other sequenced amniote genome. The GC content of this lizard genome is also unusual in its homogeneity, unlike the regionally variable GC content found in mammals and birds. We describe and assign sequence to the previously unknown A. carolinensis X chromosome. Comparative gene analysis shows that amniote egg proteins have evolved significantly more rapidly than other proteins. An anole phylogeny resolves basal branches to illuminate the history of their repeated adaptive radiations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184186/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184186/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Alfoldi, Jessica -- Di Palma, Federica -- Grabherr, Manfred -- Williams, Christina -- Kong, Lesheng -- Mauceli, Evan -- Russell, Pamela -- Lowe, Craig B -- Glor, Richard E -- Jaffe, Jacob D -- Ray, David A -- Boissinot, Stephane -- Shedlock, Andrew M -- Botka, Christopher -- Castoe, Todd A -- Colbourne, John K -- Fujita, Matthew K -- Moreno, Ricardo Godinez -- ten Hallers, Boudewijn F -- Haussler, David -- Heger, Andreas -- Heiman, David -- Janes, Daniel E -- Johnson, Jeremy -- de Jong, Pieter J -- Koriabine, Maxim Y -- Lara, Marcia -- Novick, Peter A -- Organ, Chris L -- Peach, Sally E -- Poe, Steven -- Pollock, David D -- de Queiroz, Kevin -- Sanger, Thomas -- Searle, Steve -- Smith, Jeremy D -- Smith, Zachary -- Swofford, Ross -- Turner-Maier, Jason -- Wade, Juli -- Young, Sarah -- Zadissa, Amonida -- Edwards, Scott V -- Glenn, Travis C -- Schneider, Christopher J -- Losos, Jonathan B -- Lander, Eric S -- Breen, Matthew -- Ponting, Chris P -- Lindblad-Toh, Kerstin -- BB/F007590/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- MC_U137761446/Medical Research Council/United Kingdom -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-08/HG/NHGRI NIH HHS/ -- England -- Nature. 2011 Aug 31;477(7366):587-91. doi: 10.1038/nature10390.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. jalfoldi@broadinstitute.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21881562" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Birds/*genetics ; Chickens/genetics ; *Evolution, Molecular ; GC Rich Sequence/genetics ; Genome/*genetics ; Genomics ; Humans ; Lizards/*genetics ; Mammals/*genetics ; Molecular Sequence Data ; Phylogeny ; Synteny/genetics ; X Chromosome/genetics
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  • 80
    Publication Date: 2011-03-15
    Description: Genomic analysis provides insights into the role of copy number variation in disease, but most methods are not designed to resolve mixed populations of cells. In tumours, where genetic heterogeneity is common, very important information may be lost that would be useful for reconstructing evolutionary history. Here we show that with flow-sorted nuclei, whole genome amplification and next generation sequencing we can accurately quantify genomic copy number within an individual nucleus. We apply single-nucleus sequencing to investigate tumour population structure and evolution in two human breast cancer cases. Analysis of 100 single cells from a polygenomic tumour revealed three distinct clonal subpopulations that probably represent sequential clonal expansions. Additional analysis of 100 single cells from a monogenomic primary tumour and its liver metastasis indicated that a single clonal expansion formed the primary tumour and seeded the metastasis. In both primary tumours, we also identified an unexpectedly abundant subpopulation of genetically diverse 'pseudodiploid' cells that do not travel to the metastatic site. In contrast to gradual models of tumour progression, our data indicate that tumours grow by punctuated clonal expansions with few persistent intermediates.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504184/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504184/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Navin, Nicholas -- Kendall, Jude -- Troge, Jennifer -- Andrews, Peter -- Rodgers, Linda -- McIndoo, Jeanne -- Cook, Kerry -- Stepansky, Asya -- Levy, Dan -- Esposito, Diane -- Muthuswamy, Lakshmi -- Krasnitz, Alex -- McCombie, W Richard -- Hicks, James -- Wigler, Michael -- T32 CA009176/CA/NCI NIH HHS/ -- England -- Nature. 2011 Apr 7;472(7341):90-4. doi: 10.1038/nature09807. Epub 2011 Mar 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21399628" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/diagnosis/*genetics/*pathology ; Carcinoma, Ductal, Breast/diagnosis/genetics/pathology ; Chromosome Breakpoints ; Clone Cells/cytology ; Diploidy ; Disease Progression ; *Evolution, Molecular ; Female ; Flow Cytometry ; Genetic Heterogeneity ; Genome, Human/genetics ; Genomics ; Humans ; Liver Neoplasms/genetics/secondary ; Loss of Heterozygosity ; Sequence Analysis, DNA/*methods ; Single-Cell Analysis/*methods
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  • 81
    Publication Date: 2011-08-30
    Description: Genetic differences between Arabidopsis thaliana accessions underlie the plant's extensive phenotypic variation, and until now these have been interpreted largely in the context of the annotated reference accession Col-0. Here we report the sequencing, assembly and annotation of the genomes of 18 natural A. thaliana accessions, and their transcriptomes. When assessed on the basis of the reference annotation, one-third of protein-coding genes are predicted to be disrupted in at least one accession. However, re-annotation of each genome revealed that alternative gene models often restore coding potential. Gene expression in seedlings differed for nearly half of expressed genes and was frequently associated with cis variants within 5 kilobases, as were intron retention alternative splicing events. Sequence and expression variation is most pronounced in genes that respond to the biotic environment. Our data further promote evolutionary and functional studies in A. thaliana, especially the MAGIC genetic reference population descended from these accessions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gan, Xiangchao -- Stegle, Oliver -- Behr, Jonas -- Steffen, Joshua G -- Drewe, Philipp -- Hildebrand, Katie L -- Lyngsoe, Rune -- Schultheiss, Sebastian J -- Osborne, Edward J -- Sreedharan, Vipin T -- Kahles, Andre -- Bohnert, Regina -- Jean, Geraldine -- Derwent, Paul -- Kersey, Paul -- Belfield, Eric J -- Harberd, Nicholas P -- Kemen, Eric -- Toomajian, Christopher -- Kover, Paula X -- Clark, Richard M -- Ratsch, Gunnar -- Mott, Richard -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- BB/D016029/2/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/F019793/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/F020759/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/F022697/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2011 Aug 28;477(7365):419-23. doi: 10.1038/nature10414.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21874022" target="_blank"〉PubMed〈/a〉
    Keywords: Arabidopsis/classification/*genetics ; Arabidopsis Proteins/genetics ; Base Sequence ; *Gene Expression Profiling ; Gene Expression Regulation, Plant/*genetics ; Genes, Plant/genetics ; Genome, Plant/*genetics ; Genomics ; Haplotypes/genetics ; INDEL Mutation/genetics ; Molecular Sequence Annotation ; Phylogeny ; Polymorphism, Single Nucleotide/genetics ; Proteome/genetics ; Seedlings/genetics ; Sequence Analysis, DNA ; Transcription, Genetic/*genetics
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  • 82
    Publication Date: 2011-06-17
    Description: Gene targeting in embryonic stem cells has become the principal technology for manipulation of the mouse genome, offering unrivalled accuracy in allele design and access to conditional mutagenesis. To bring these advantages to the wider research community, large-scale mouse knockout programmes are producing a permanent resource of targeted mutations in all protein-coding genes. Here we report the establishment of a high-throughput gene-targeting pipeline for the generation of reporter-tagged, conditional alleles. Computational allele design, 96-well modular vector construction and high-efficiency gene-targeting strategies have been combined to mutate genes on an unprecedented scale. So far, more than 12,000 vectors and 9,000 conditional targeted alleles have been produced in highly germline-competent C57BL/6N embryonic stem cells. High-throughput genome engineering highlighted by this study is broadly applicable to rat and human stem cells and provides a foundation for future genome-wide efforts aimed at deciphering the function of all genes encoded by the mammalian genome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572410/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572410/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Skarnes, William C -- Rosen, Barry -- West, Anthony P -- Koutsourakis, Manousos -- Bushell, Wendy -- Iyer, Vivek -- Mujica, Alejandro O -- Thomas, Mark -- Harrow, Jennifer -- Cox, Tony -- Jackson, David -- Severin, Jessica -- Biggs, Patrick -- Fu, Jun -- Nefedov, Michael -- de Jong, Pieter J -- Stewart, A Francis -- Bradley, Allan -- 077188/Wellcome Trust/United Kingdom -- U01-HG004080/HG/NHGRI NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2011 Jun 15;474(7351):337-42. doi: 10.1038/nature10163.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. skarnes@sanger.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21677750" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Computational Biology ; Embryonic Stem Cells/cytology/metabolism ; *Gene Deletion ; Gene Knockout Techniques/*methods ; Genes/*genetics ; Genes, Lethal/genetics ; Genetic Association Studies/*methods ; Genetic Vectors/genetics ; Genome/*genetics ; Genomics ; Genotype ; Humans ; Mice ; Mice, Inbred C57BL ; Mice, Knockout/*genetics ; Mutagenesis, Insertional/methods ; Phenotype ; Polymerase Chain Reaction ; Rats
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  • 83
    Publication Date: 2011-04-05
    Description: Meiotic recombination predominantly occurs at discrete genomic loci called recombination hotspots, but the features defining these areas are still largely unknown (reviewed in refs 1-5). To allow a comprehensive analysis of hotspot-associated DNA and chromatin characteristics, we developed a direct molecular approach for mapping meiotic DNA double-strand breaks that initiate recombination. Here we present the genome-wide distribution of recombination initiation sites in the mouse genome. Hotspot centres are mapped with approximately 200-nucleotide precision, which allows analysis of the fine structural details of the preferred recombination sites. We determine that hotspots share a centrally distributed consensus motif, possess a nucleotide skew that changes polarity at the centres of hotspots and have an intrinsic preference to be occupied by a nucleosome. Furthermore, we find that the vast majority of recombination initiation sites in mouse males are associated with testis-specific trimethylation of lysine 4 on histone H3 that is distinct from histone H3 lysine 4 trimethylation marks associated with transcription. The recombination map presented here has been derived from a homogeneous mouse population with a defined genetic background and therefore lends itself to extensive future experimental exploration. We note that the mapping technique developed here does not depend on the availability of genetic markers and hence can be easily adapted to other species with complex genomes. Our findings uncover several fundamental features of mammalian recombination hotspots and underline the power of the new recombination map for future studies of genetic recombination, genome stability and evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117304/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117304/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Smagulova, Fatima -- Gregoretti, Ivan V -- Brick, Kevin -- Khil, Pavel -- Camerini-Otero, R Daniel -- Petukhova, Galina V -- 1R01GM084104-01A1/GM/NIGMS NIH HHS/ -- R01 GM084104/GM/NIGMS NIH HHS/ -- R01 GM084104-01A1/GM/NIGMS NIH HHS/ -- Intramural NIH HHS/ -- England -- Nature. 2011 Apr 21;472(7343):375-8. doi: 10.1038/nature09869. Epub 2011 Apr 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Uniformed Services University of the Health Sciences, Bethesda, Maryland 20814, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21460839" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosome Mapping/*methods ; Chromosome Segregation ; Chromosomes, Mammalian/*genetics ; Consensus Sequence ; Crossing Over, Genetic/genetics ; *DNA Breaks, Double-Stranded ; Genetic Markers ; Genome/*genetics ; Genomics ; Histones/metabolism ; Lysine/metabolism ; Male ; Meiosis/*genetics ; Methylation ; Mice ; Mice, Inbred C57BL ; Molecular Sequence Data ; Nucleosomes/genetics/metabolism ; Organ Specificity ; Recombination, Genetic/*genetics ; Sister Chromatid Exchange/genetics ; Testis/metabolism ; Transcription, Genetic/genetics
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  • 84
    Publication Date: 2011-11-25
    Description: The spider mite Tetranychus urticae is a cosmopolitan agricultural pest with an extensive host plant range and an extreme record of pesticide resistance. Here we present the completely sequenced and annotated spider mite genome, representing the first complete chelicerate genome. At 90 megabases T. urticae has the smallest sequenced arthropod genome. Compared with other arthropods, the spider mite genome shows unique changes in the hormonal environment and organization of the Hox complex, and also reveals evolutionary innovation of silk production. We find strong signatures of polyphagy and detoxification in gene families associated with feeding on different hosts and in new gene families acquired by lateral gene transfer. Deep transcriptome analysis of mites feeding on different plants shows how this pest responds to a changing host environment. The T. urticae genome thus offers new insights into arthropod evolution and plant-herbivore interactions, and provides unique opportunities for developing novel plant protection strategies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Grbic, Miodrag -- Van Leeuwen, Thomas -- Clark, Richard M -- Rombauts, Stephane -- Rouze, Pierre -- Grbic, Vojislava -- Osborne, Edward J -- Dermauw, Wannes -- Ngoc, Phuong Cao Thi -- Ortego, Felix -- Hernandez-Crespo, Pedro -- Diaz, Isabel -- Martinez, Manuel -- Navajas, Maria -- Sucena, Elio -- Magalhaes, Sara -- Nagy, Lisa -- Pace, Ryan M -- Djuranovic, Sergej -- Smagghe, Guy -- Iga, Masatoshi -- Christiaens, Olivier -- Veenstra, Jan A -- Ewer, John -- Villalobos, Rodrigo Mancilla -- Hutter, Jeffrey L -- Hudson, Stephen D -- Velez, Marisela -- Yi, Soojin V -- Zeng, Jia -- Pires-daSilva, Andre -- Roch, Fernando -- Cazaux, Marc -- Navarro, Marie -- Zhurov, Vladimir -- Acevedo, Gustavo -- Bjelica, Anica -- Fawcett, Jeffrey A -- Bonnet, Eric -- Martens, Cindy -- Baele, Guy -- Wissler, Lothar -- Sanchez-Rodriguez, Aminael -- Tirry, Luc -- Blais, Catherine -- Demeestere, Kristof -- Henz, Stefan R -- Gregory, T Ryan -- Mathieu, Johannes -- Verdon, Lou -- Farinelli, Laurent -- Schmutz, Jeremy -- Lindquist, Erika -- Feyereisen, Rene -- Van de Peer, Yves -- England -- Nature. 2011 Nov 23;479(7374):487-92. doi: 10.1038/nature10640.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, The University of Western Ontario, London N6A 5B7, Canada. mgrbic@uwo.ca〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22113690" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics/physiology ; Animals ; Ecdysterone/analogs & derivatives/genetics ; Evolution, Molecular ; Fibroins/genetics ; Gene Expression Regulation ; Gene Transfer, Horizontal/genetics ; Genes, Homeobox/genetics ; Genome/*genetics ; Genomics ; Herbivory/*genetics/physiology ; Molecular Sequence Data ; Molting/genetics ; Multigene Family/genetics ; Nanostructures/chemistry ; Plants/parasitology ; Silk/biosynthesis/chemistry ; Tetranychidae/*genetics/*physiology ; Transcriptome/genetics
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  • 85
    Publication Date: 2011-10-14
    Description: The naked mole rat (Heterocephalus glaber) is a strictly subterranean, extraordinarily long-lived eusocial mammal. Although it is the size of a mouse, its maximum lifespan exceeds 30 years, making this animal the longest-living rodent. Naked mole rats show negligible senescence, no age-related increase in mortality, and high fecundity until death. In addition to delayed ageing, they are resistant to both spontaneous cancer and experimentally induced tumorigenesis. Naked mole rats pose a challenge to the theories that link ageing, cancer and redox homeostasis. Although characterized by significant oxidative stress, the naked mole rat proteome does not show age-related susceptibility to oxidative damage or increased ubiquitination. Naked mole rats naturally reside in large colonies with a single breeding female, the 'queen', who suppresses the sexual maturity of her subordinates. They also live in full darkness, at low oxygen and high carbon dioxide concentrations, and are unable to sustain thermogenesis nor feel certain types of pain. Here we report the sequencing and analysis of the naked mole rat genome, which reveals unique genome features and molecular adaptations consistent with cancer resistance, poikilothermy, hairlessness and insensitivity to low oxygen, and altered visual function, circadian rythms and taste sensing. This information provides insights into the naked mole rat's exceptional longevity and ability to live in hostile conditions, in the dark and at low oxygen. The extreme traits of the naked mole rat, together with the reported genome and transcriptome information, offer opportunities for understanding ageing and advancing other areas of biological and biomedical research.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3319411/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3319411/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kim, Eun Bae -- Fang, Xiaodong -- Fushan, Alexey A -- Huang, Zhiyong -- Lobanov, Alexei V -- Han, Lijuan -- Marino, Stefano M -- Sun, Xiaoqing -- Turanov, Anton A -- Yang, Pengcheng -- Yim, Sun Hee -- Zhao, Xiang -- Kasaikina, Marina V -- Stoletzki, Nina -- Peng, Chunfang -- Polak, Paz -- Xiong, Zhiqiang -- Kiezun, Adam -- Zhu, Yabing -- Chen, Yuanxin -- Kryukov, Gregory V -- Zhang, Qiang -- Peshkin, Leonid -- Yang, Lan -- Bronson, Roderick T -- Buffenstein, Rochelle -- Wang, Bo -- Han, Changlei -- Li, Qiye -- Chen, Li -- Zhao, Wei -- Sunyaev, Shamil R -- Park, Thomas J -- Zhang, Guojie -- Wang, Jun -- Gladyshev, Vadim N -- AG021518/AG/NIA NIH HHS/ -- AG038004/AG/NIA NIH HHS/ -- CA080946/CA/NCI NIH HHS/ -- R01 AG021518/AG/NIA NIH HHS/ -- R01 AG021518-10/AG/NIA NIH HHS/ -- R01 AG038004/AG/NIA NIH HHS/ -- R01 AG038004-02/AG/NIA NIH HHS/ -- R01 CA080946/CA/NCI NIH HHS/ -- R01 CA080946-11/CA/NCI NIH HHS/ -- England -- Nature. 2011 Oct 12;479(7372):223-7. doi: 10.1038/nature10533.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bioinspired Science, Ewha Womans University, Seoul, 120-750, Korea.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21993625" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics ; Aging/genetics ; Amino Acid Sequence ; Animals ; Body Temperature Regulation/genetics ; Carbon Dioxide/analysis/metabolism ; Circadian Rhythm/genetics ; Darkness ; Genes/genetics ; Genome/*genetics ; Genomic Instability/genetics ; Genomics ; Humans ; Ion Channels/genetics ; Longevity/*genetics/physiology ; Male ; Mitochondrial Proteins/genetics ; Mole Rats/*genetics/*physiology ; Molecular Sequence Data ; Mutagenesis/genetics ; Oxygen/analysis/metabolism ; Taste/genetics ; Transcriptome/genetics ; Visual Perception/genetics
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  • 86
    Publication Date: 2010-12-03
    Description: Neuroblastoma is a childhood cancer of the sympathetic nervous system that accounts for approximately 10% of all paediatric oncology deaths. To identify genetic risk factors for neuroblastoma, we performed a genome-wide association study (GWAS) on 2,251 patients and 6,097 control subjects of European ancestry from four case series. Here we report a significant association within LIM domain only 1 (LMO1) at 11p15.4 (rs110419, combined P = 5.2 x 10(-16), odds ratio of risk allele = 1.34 (95% confidence interval 1.25-1.44)). The signal was enriched in the subset of patients with the most aggressive form of the disease. LMO1 encodes a cysteine-rich transcriptional regulator, and its paralogues (LMO2, LMO3 and LMO4) have each been previously implicated in cancer. In parallel, we analysed genome-wide DNA copy number alterations in 701 primary tumours. We found that the LMO1 locus was aberrant in 12.4% through a duplication event, and that this event was associated with more advanced disease (P 〈 0.0001) and survival (P = 0.041). The germline single nucleotide polymorphism (SNP) risk alleles and somatic copy number gains were associated with increased LMO1 expression in neuroblastoma cell lines and primary tumours, consistent with a gain-of-function role in tumorigenesis. Short hairpin RNA (shRNA)-mediated depletion of LMO1 inhibited growth of neuroblastoma cells with high LMO1 expression, whereas forced expression of LMO1 in neuroblastoma cells with low LMO1 expression enhanced proliferation. These data show that common polymorphisms at the LMO1 locus are strongly associated with susceptibility to developing neuroblastoma, but also may influence the likelihood of further somatic alterations at this locus, leading to malignant progression.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320515/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320515/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Kai -- Diskin, Sharon J -- Zhang, Haitao -- Attiyeh, Edward F -- Winter, Cynthia -- Hou, Cuiping -- Schnepp, Robert W -- Diamond, Maura -- Bosse, Kristopher -- Mayes, Patrick A -- Glessner, Joseph -- Kim, Cecilia -- Frackelton, Edward -- Garris, Maria -- Wang, Qun -- Glaberson, Wendy -- Chiavacci, Rosetta -- Nguyen, Le -- Jagannathan, Jayanti -- Saeki, Norihisa -- Sasaki, Hiroki -- Grant, Struan F A -- Iolascon, Achille -- Mosse, Yael P -- Cole, Kristina A -- Li, Hongzhe -- Devoto, Marcella -- McGrady, Patrick W -- London, Wendy B -- Capasso, Mario -- Rahman, Nazneen -- Hakonarson, Hakon -- Maris, John M -- 9024/Cancer Research UK/United Kingdom -- R00 CA151869/CA/NCI NIH HHS/ -- R01 CA124709/CA/NCI NIH HHS/ -- R01 CA124709-05/CA/NCI NIH HHS/ -- R01-CA124709/CA/NCI NIH HHS/ -- U10-CA98413/CA/NCI NIH HHS/ -- U10-CA98543/CA/NCI NIH HHS/ -- UL1-RR024134-03/RR/NCRR NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Jan 13;469(7329):216-20. doi: 10.1038/nature09609. Epub 2010 Dec 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21124317" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line, Tumor ; Cell Proliferation ; Chromosomes, Human, Pair 11/genetics ; DNA Copy Number Variations/genetics ; DNA-Binding Proteins/*genetics ; Disease Progression ; Europe/ethnology ; Gene Duplication/genetics ; Gene Expression Regulation, Neoplastic/genetics ; Genetic Predisposition to Disease/*genetics ; Genome, Human/genetics ; *Genome-Wide Association Study ; Genomics ; Genotype ; Humans ; LIM Domain Proteins ; Neuroblastoma/*genetics/pathology ; Odds Ratio ; Oncogenes/*genetics ; Phenotype ; Polymorphism, Single Nucleotide/genetics ; Survival Rate ; Transcription Factors/*genetics
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  • 87
    Publication Date: 2011-03-04
    Description: Annelida, the ringed worms, is a highly diverse animal phylum that includes more than 15,000 described species and constitutes the dominant benthic macrofauna from the intertidal zone down to the deep sea. A robust annelid phylogeny would shape our understanding of animal body-plan evolution and shed light on the bilaterian ground pattern. Traditionally, Annelida has been split into two major groups: Clitellata (earthworms and leeches) and polychaetes (bristle worms), but recent evidence suggests that other taxa that were once considered to be separate phyla (Sipuncula, Echiura and Siboglinidae (also known as Pogonophora)) should be included in Annelida. However, the deep-level evolutionary relationships of Annelida are still poorly understood, and a robust reconstruction of annelid evolutionary history is needed. Here we show that phylogenomic analyses of 34 annelid taxa, using 47,953 amino acid positions, recovered a well-supported phylogeny with strong support for major splits. Our results recover chaetopterids, myzostomids and sipunculids in the basal part of the tree, although the position of Myzostomida remains uncertain owing to its long branch. The remaining taxa are split into two clades: Errantia (which includes the model annelid Platynereis), and Sedentaria (which includes Clitellata). Ancestral character trait reconstructions indicate that these clades show adaptation to either an errant or a sedentary lifestyle, with alteration of accompanying morphological traits such as peristaltic movement, parapodia and sensory perception. Finally, life history characters in Annelida seem to be phylogenetically informative.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Struck, Torsten H -- Paul, Christiane -- Hill, Natascha -- Hartmann, Stefanie -- Hosel, Christoph -- Kube, Michael -- Lieb, Bernhard -- Meyer, Achim -- Tiedemann, Ralph -- Purschke, Gunter -- Bleidorn, Christoph -- England -- Nature. 2011 Mar 3;471(7336):95-8. doi: 10.1038/nature09864.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Osnabruck, FB05 Biology/Chemistry, AG Zoology, Barbarastrasse 11, 49069 Osnabruck, Germany. struck@biologie.uni-osnabrueck.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21368831" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Annelida/anatomy & histology/chemistry/*classification ; Expressed Sequence Tags ; Genome/genetics ; Genomics ; Models, Biological ; *Phylogeny
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  • 88
    Publication Date: 2011-09-17
    Description: Structural variation is widespread in mammalian genomes and is an important cause of disease, but just how abundant and important structural variants (SVs) are in shaping phenotypic variation remains unclear. Without knowing how many SVs there are, and how they arise, it is difficult to discover what they do. Combining experimental with automated analyses, we identified 711,920 SVs at 281,243 sites in the genomes of thirteen classical and four wild-derived inbred mouse strains. The majority of SVs are less than 1 kilobase in size and 98% are deletions or insertions. The breakpoints of 160,000 SVs were mapped to base pair resolution, allowing us to infer that insertion of retrotransposons causes more than half of SVs. Yet, despite their prevalence, SVs are less likely than other sequence variants to cause gene expression or quantitative phenotypic variation. We identified 24 SVs that disrupt coding exons, acting as rare variants of large effect on gene function. One-third of the genes so affected have immunological functions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3428933/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3428933/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yalcin, Binnaz -- Wong, Kim -- Agam, Avigail -- Goodson, Martin -- Keane, Thomas M -- Gan, Xiangchao -- Nellaker, Christoffer -- Goodstadt, Leo -- Nicod, Jerome -- Bhomra, Amarjit -- Hernandez-Pliego, Polinka -- Whitley, Helen -- Cleak, James -- Dutton, Rebekah -- Janowitz, Deborah -- Mott, Richard -- Adams, David J -- Flint, Jonathan -- 079912/Wellcome Trust/United Kingdom -- 082356/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- 13031/Cancer Research UK/United Kingdom -- G0800024/Medical Research Council/United Kingdom -- MC_U137761446/Medical Research Council/United Kingdom -- Cancer Research UK/United Kingdom -- Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2011 Sep 14;477(7364):326-9. doi: 10.1038/nature10432.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21921916" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosome Breakpoints ; Exons/genetics ; Female ; Gene Expression ; Genetic Variation/*genetics ; Genome/*genetics ; Genomics ; Genotype ; Male ; Mice ; Mice, Inbred Strains/*genetics/immunology ; Mutagenesis, Insertional/genetics ; *Phenotype ; Quantitative Trait Loci/genetics ; Rats ; Retroelements/genetics ; Sequence Deletion/genetics
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  • 89
    Publication Date: 2011-08-13
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2011 Aug 9;476(7359):136-7. doi: 10.1038/476136a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21833062" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; DNA/*analysis/*genetics ; Genetic Predisposition to Disease ; Genome, Human/*genetics ; Genomics ; Hominidae/genetics/physiology ; Humans ; *Phylogeny ; *Phylogeography
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  • 90
    Publication Date: 2012-10-19
    Description: Barley (Hordeum vulgare L.) is among the world's earliest domesticated and most important crop plants. It is diploid with a large haploid genome of 5.1 gigabases (Gb). Here we present an integrated and ordered physical, genetic and functional sequence resource that describes the barley gene-space in a structured whole-genome context. We developed a physical map of 4.98 Gb, with more than 3.90 Gb anchored to a high-resolution genetic map. Projecting a deep whole-genome shotgun assembly, complementary DNA and deep RNA sequence data onto this framework supports 79,379 transcript clusters, including 26,159 'high-confidence' genes with homology support from other plant genomes. Abundant alternative splicing, premature termination codons and novel transcriptionally active regions suggest that post-transcriptional processing forms an important regulatory layer. Survey sequences from diverse accessions reveal a landscape of extensive single-nucleotide variation. Our data provide a platform for both genome-assisted research and enabling contemporary crop improvement.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International Barley Genome Sequencing Consortium -- Mayer, Klaus F X -- Waugh, Robbie -- Brown, John W S -- Schulman, Alan -- Langridge, Peter -- Platzer, Matthias -- Fincher, Geoffrey B -- Muehlbauer, Gary J -- Sato, Kazuhiro -- Close, Timothy J -- Wise, Roger P -- Stein, Nils -- BB/100663X/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2012 Nov 29;491(7426):711-6. doi: 10.1038/nature11543. Epub 2012 Oct 17.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23075845" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing/genetics ; Codon, Nonsense/genetics ; Crops, Agricultural/genetics ; Evolution, Molecular ; Gene Expression Regulation, Plant ; Genes, Plant/genetics ; Genome, Plant/*genetics ; Genomics ; Hordeum/classification/*genetics ; Molecular Sequence Annotation ; Physical Chromosome Mapping ; Polymorphism, Single Nucleotide/genetics ; Repetitive Sequences, Nucleic Acid/genetics ; *Sequence Analysis, DNA ; Transcriptome/genetics
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  • 91
    Publication Date: 2012-06-23
    Description: Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. Here, to identify mutations that drive medulloblastoma, we sequenced the entire genomes of 37 tumours and matched normal blood. One-hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma; several target distinct components of the epigenetic machinery in different disease subgroups, such as regulators of H3K27 and H3K4 trimethylation in subgroups 3 and 4 (for example, KDM6A and ZMYM3), and CTNNB1-associated chromatin re-modellers in WNT-subgroup tumours (for example, SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours identified genes that maintain this cell lineage (DDX3X), as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumorigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412905/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412905/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Robinson, Giles -- Parker, Matthew -- Kranenburg, Tanya A -- Lu, Charles -- Chen, Xiang -- Ding, Li -- Phoenix, Timothy N -- Hedlund, Erin -- Wei, Lei -- Zhu, Xiaoyan -- Chalhoub, Nader -- Baker, Suzanne J -- Huether, Robert -- Kriwacki, Richard -- Curley, Natasha -- Thiruvenkatam, Radhika -- Wang, Jianmin -- Wu, Gang -- Rusch, Michael -- Hong, Xin -- Becksfort, Jared -- Gupta, Pankaj -- Ma, Jing -- Easton, John -- Vadodaria, Bhavin -- Onar-Thomas, Arzu -- Lin, Tong -- Li, Shaoyi -- Pounds, Stanley -- Paugh, Steven -- Zhao, David -- Kawauchi, Daisuke -- Roussel, Martine F -- Finkelstein, David -- Ellison, David W -- Lau, Ching C -- Bouffet, Eric -- Hassall, Tim -- Gururangan, Sridharan -- Cohn, Richard -- Fulton, Robert S -- Fulton, Lucinda L -- Dooling, David J -- Ochoa, Kerri -- Gajjar, Amar -- Mardis, Elaine R -- Wilson, Richard K -- Downing, James R -- Zhang, Jinghui -- Gilbertson, Richard J -- P01 CA096832/CA/NCI NIH HHS/ -- P01CA96832/CA/NCI NIH HHS/ -- P30 CA021765/CA/NCI NIH HHS/ -- P30CA021765/CA/NCI NIH HHS/ -- R01 CA129541/CA/NCI NIH HHS/ -- R01CA129541/CA/NCI NIH HHS/ -- England -- Nature. 2012 Aug 2;488(7409):43-8. doi: 10.1038/nature11213.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉St Jude Children's Research Hospital, Washington University Pediatric Cancer Genome Project, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722829" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; CREB-Binding Protein/genetics ; Cadherins/genetics ; Cdh1 Proteins ; Cell Cycle Proteins/deficiency/genetics ; Cell Lineage ; Cerebellar Neoplasms/*classification/*genetics/pathology ; Child ; DEAD-box RNA Helicases/genetics ; DNA Copy Number Variations ; DNA Helicases/genetics ; DNA Mutational Analysis ; Disease Models, Animal ; Genome, Human/genetics ; Genomics ; Hedgehog Proteins/metabolism ; Histone Demethylases/genetics ; Histones/metabolism ; Humans ; Medulloblastoma/*classification/*genetics/pathology ; Methylation ; Mice ; Mutation/*genetics ; Nuclear Proteins/genetics ; Phosphatidylinositol 3-Kinases/genetics ; Transcription Factors/genetics ; Wnt Proteins/metabolism ; beta Catenin/genetics
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 92
    Publication Date: 2012-07-27
    Description: Medulloblastoma, the most common malignant paediatric brain tumour, is currently treated with nonspecific cytotoxic therapies including surgery, whole-brain radiation, and aggressive chemotherapy. As medulloblastoma exhibits marked intertumoural heterogeneity, with at least four distinct molecular variants, previous attempts to identify targets for therapy have been underpowered because of small samples sizes. Here we report somatic copy number aberrations (SCNAs) in 1,087 unique medulloblastomas. SCNAs are common in medulloblastoma, and are predominantly subgroup-enriched. The most common region of focal copy number gain is a tandem duplication of SNCAIP, a gene associated with Parkinson's disease, which is exquisitely restricted to Group 4alpha. Recurrent translocations of PVT1, including PVT1-MYC and PVT1-NDRG1, that arise through chromothripsis are restricted to Group 3. Numerous targetable SCNAs, including recurrent events targeting TGF-beta signalling in Group 3, and NF-kappaB signalling in Group 4, suggest future avenues for rational, targeted therapy.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683624/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683624/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Northcott, Paul A -- Shih, David J H -- Peacock, John -- Garzia, Livia -- Morrissy, A Sorana -- Zichner, Thomas -- Stutz, Adrian M -- Korshunov, Andrey -- Reimand, Juri -- Schumacher, Steven E -- Beroukhim, Rameen -- Ellison, David W -- Marshall, Christian R -- Lionel, Anath C -- Mack, Stephen -- Dubuc, Adrian -- Yao, Yuan -- Ramaswamy, Vijay -- Luu, Betty -- Rolider, Adi -- Cavalli, Florence M G -- Wang, Xin -- Remke, Marc -- Wu, Xiaochong -- Chiu, Readman Y B -- Chu, Andy -- Chuah, Eric -- Corbett, Richard D -- Hoad, Gemma R -- Jackman, Shaun D -- Li, Yisu -- Lo, Allan -- Mungall, Karen L -- Nip, Ka Ming -- Qian, Jenny Q -- Raymond, Anthony G J -- Thiessen, Nina T -- Varhol, Richard J -- Birol, Inanc -- Moore, Richard A -- Mungall, Andrew J -- Holt, Robert -- Kawauchi, Daisuke -- Roussel, Martine F -- Kool, Marcel -- Jones, David T W -- Witt, Hendrick -- Fernandez-L, Africa -- Kenney, Anna M -- Wechsler-Reya, Robert J -- Dirks, Peter -- Aviv, Tzvi -- Grajkowska, Wieslawa A -- Perek-Polnik, Marta -- Haberler, Christine C -- Delattre, Olivier -- Reynaud, Stephanie S -- Doz, Francois F -- Pernet-Fattet, Sarah S -- Cho, Byung-Kyu -- Kim, Seung-Ki -- Wang, Kyu-Chang -- Scheurlen, Wolfram -- Eberhart, Charles G -- Fevre-Montange, Michelle -- Jouvet, Anne -- Pollack, Ian F -- Fan, Xing -- Muraszko, Karin M -- Gillespie, G Yancey -- Di Rocco, Concezio -- Massimi, Luca -- Michiels, Erna M C -- Kloosterhof, Nanne K -- French, Pim J -- Kros, Johan M -- Olson, James M -- Ellenbogen, Richard G -- Zitterbart, Karel -- Kren, Leos -- Thompson, Reid C -- Cooper, Michael K -- Lach, Boleslaw -- McLendon, Roger E -- Bigner, Darell D -- Fontebasso, Adam -- Albrecht, Steffen -- Jabado, Nada -- Lindsey, Janet C -- Bailey, Simon -- Gupta, Nalin -- Weiss, William A -- Bognar, Laszlo -- Klekner, Almos -- Van Meter, Timothy E -- Kumabe, Toshihiro -- Tominaga, Teiji -- Elbabaa, Samer K -- Leonard, Jeffrey R -- Rubin, Joshua B -- Liau, Linda M -- Van Meir, Erwin G -- Fouladi, Maryam -- Nakamura, Hideo -- Cinalli, Giuseppe -- Garami, Miklos -- Hauser, Peter -- Saad, Ali G -- Iolascon, Achille -- Jung, Shin -- Carlotti, Carlos G -- Vibhakar, Rajeev -- Ra, Young Shin -- Robinson, Shenandoah -- Zollo, Massimo -- Faria, Claudia C -- Chan, Jennifer A -- Levy, Michael L -- Sorensen, Poul H B -- Meyerson, Matthew -- Pomeroy, Scott L -- Cho, Yoon-Jae -- Bader, Gary D -- Tabori, Uri -- Hawkins, Cynthia E -- Bouffet, Eric -- Scherer, Stephen W -- Rutka, James T -- Malkin, David -- Clifford, Steven C -- Jones, Steven J M -- Korbel, Jan O -- Pfister, Stefan M -- Marra, Marco A -- Taylor, Michael D -- AT1-112286/Canadian Institutes of Health Research/Canada -- CA116804/CA/NCI NIH HHS/ -- CA138292/CA/NCI NIH HHS/ -- CA159859/CA/NCI NIH HHS/ -- CA86335/CA/NCI NIH HHS/ -- K08 NS059790/NS/NINDS NIH HHS/ -- P20 CA151129/CA/NCI NIH HHS/ -- P30 CA138292/CA/NCI NIH HHS/ -- P30 HD018655/HD/NICHD NIH HHS/ -- P41 GM103504/GM/NIGMS NIH HHS/ -- R01 CA086335/CA/NCI NIH HHS/ -- R01 CA109467/CA/NCI NIH HHS/ -- R01 CA114567/CA/NCI NIH HHS/ -- R01 CA116804/CA/NCI NIH HHS/ -- R01 CA148621/CA/NCI NIH HHS/ -- R01 CA155360/CA/NCI NIH HHS/ -- R01 CA159859/CA/NCI NIH HHS/ -- R01 CA163737/CA/NCI NIH HHS/ -- R01 NS061070/NS/NINDS NIH HHS/ -- England -- Nature. 2012 Aug 2;488(7409):49-56. doi: 10.1038/nature11327.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario M5G 1L7, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22832581" target="_blank"〉PubMed〈/a〉
    Keywords: Carrier Proteins/genetics ; Cerebellar Neoplasms/*classification/*genetics/metabolism ; Child ; DNA Copy Number Variations/genetics ; Gene Duplication/genetics ; Genes, myc/genetics ; Genome, Human/*genetics ; Genomic Structural Variation/*genetics ; Genomics ; Hedgehog Proteins/metabolism ; Humans ; Medulloblastoma/*classification/*genetics/metabolism ; NF-kappa B/metabolism ; Nerve Tissue Proteins/genetics ; Oncogene Proteins, Fusion/genetics ; Proteins/genetics ; RNA, Long Noncoding ; Signal Transduction ; Transforming Growth Factor beta/metabolism ; Translocation, Genetic/genetics
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  • 93
    Publication Date: 2012-10-05
    Description: Crop domestications are long-term selection experiments that have greatly advanced human civilization. The domestication of cultivated rice (Oryza sativa L.) ranks as one of the most important developments in history. However, its origins and domestication processes are controversial and have long been debated. Here we generate genome sequences from 446 geographically diverse accessions of the wild rice species Oryza rufipogon, the immediate ancestral progenitor of cultivated rice, and from 1,083 cultivated indica and japonica varieties to construct a comprehensive map of rice genome variation. In the search for signatures of selection, we identify 55 selective sweeps that have occurred during domestication. In-depth analyses of the domestication sweeps and genome-wide patterns reveal that Oryza sativa japonica rice was first domesticated from a specific population of O. rufipogon around the middle area of the Pearl River in southern China, and that Oryza sativa indica rice was subsequently developed from crosses between japonica rice and local wild rice as the initial cultivars spread into South East and South Asia. The domestication-associated traits are analysed through high-resolution genetic mapping. This study provides an important resource for rice breeding and an effective genomics approach for crop domestication research.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Huang, Xuehui -- Kurata, Nori -- Wei, Xinghua -- Wang, Zi-Xuan -- Wang, Ahong -- Zhao, Qiang -- Zhao, Yan -- Liu, Kunyan -- Lu, Hengyun -- Li, Wenjun -- Guo, Yunli -- Lu, Yiqi -- Zhou, Congcong -- Fan, Danlin -- Weng, Qijun -- Zhu, Chuanrang -- Huang, Tao -- Zhang, Lei -- Wang, Yongchun -- Feng, Lei -- Furuumi, Hiroyasu -- Kubo, Takahiko -- Miyabayashi, Toshie -- Yuan, Xiaoping -- Xu, Qun -- Dong, Guojun -- Zhan, Qilin -- Li, Canyang -- Fujiyama, Asao -- Toyoda, Atsushi -- Lu, Tingting -- Feng, Qi -- Qian, Qian -- Li, Jiayang -- Han, Bin -- England -- Nature. 2012 Oct 25;490(7421):497-501. doi: 10.1038/nature11532. Epub 2012 Oct 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23034647" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/*history ; Breeding/history ; Crops, Agricultural/classification/*genetics/growth & development ; *Evolution, Molecular ; Genetic Variation/*genetics ; Genome, Plant/*genetics ; Genomics ; *Geographic Mapping ; History, Ancient ; Oryza/classification/*genetics/growth & development ; Phylogeny ; Polymorphism, Single Nucleotide/genetics ; Selection, Genetic
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  • 94
    Publication Date: 2012-06-23
    Description: The evolutionary importance of hybridization and introgression has long been debated. Hybrids are usually rare and unfit, but even infrequent hybridization can aid adaptation by transferring beneficial traits between species. Here we use genomic tools to investigate introgression in Heliconius, a rapidly radiating genus of neotropical butterflies widely used in studies of ecology, behaviour, mimicry and speciation. We sequenced the genome of Heliconius melpomene and compared it with other taxa to investigate chromosomal evolution in Lepidoptera and gene flow among multiple Heliconius species and races. Among 12,669 predicted genes, biologically important expansions of families of chemosensory and Hox genes are particularly noteworthy. Chromosomal organization has remained broadly conserved since the Cretaceous period, when butterflies split from the Bombyx (silkmoth) lineage. Using genomic resequencing, we show hybrid exchange of genes between three co-mimics, Heliconius melpomene, Heliconius timareta and Heliconius elevatus, especially at two genomic regions that control mimicry pattern. We infer that closely related Heliconius species exchange protective colour-pattern genes promiscuously, implying that hybridization has an important role in adaptive radiation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398145/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398145/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Heliconius Genome Consortium -- BB/G00661X/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G006903/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/H014357/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/H01439X/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0900740/Medical Research Council/United Kingdom -- R01 GM083873/GM/NIGMS NIH HHS/ -- R01 HG006102/HG/NHGRI NIH HHS/ -- R01 HG006677/HG/NHGRI NIH HHS/ -- T32 HD060555/HD/NICHD NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2012 Jul 5;487(7405):94-8. doi: 10.1038/nature11041.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722851" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics ; Animals ; Bombyx/genetics ; Butterflies/*classification/*genetics ; Chromosomes, Insect/genetics ; *Evolution, Molecular ; Gene Flow ; Genes, Homeobox/genetics ; Genes, Insect/genetics ; Genome, Insect/*genetics ; Genomics ; Hybridization, Genetic/genetics ; Molecular Mimicry/*genetics ; Molecular Sequence Data ; Phylogeny ; Pigmentation/genetics ; Sequence Analysis, DNA ; Species Specificity ; Synteny/genetics ; Wings, Animal/anatomy & histology
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  • 95
    Publication Date: 2012-03-09
    Description: Gorillas are humans' closest living relatives after chimpanzees, and are of comparable importance for the study of human origins and evolution. Here we present the assembly and analysis of a genome sequence for the western lowland gorilla, and compare the whole genomes of all extant great ape genera. We propose a synthesis of genetic and fossil evidence consistent with placing the human-chimpanzee and human-chimpanzee-gorilla speciation events at approximately 6 and 10 million years ago. In 30% of the genome, gorilla is closer to human or chimpanzee than the latter are to each other; this is rarer around coding genes, indicating pervasive selection throughout great ape evolution, and has functional consequences in gene expression. A comparison of protein coding genes reveals approximately 500 genes showing accelerated evolution on each of the gorilla, human and chimpanzee lineages, and evidence for parallel acceleration, particularly of genes involved in hearing. We also compare the western and eastern gorilla species, estimating an average sequence divergence time 1.75 million years ago, but with evidence for more recent genetic exchange and a population bottleneck in the eastern species. The use of the genome sequence in these and future analyses will promote a deeper understanding of great ape biology and evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303130/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303130/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Scally, Aylwyn -- Dutheil, Julien Y -- Hillier, LaDeana W -- Jordan, Gregory E -- Goodhead, Ian -- Herrero, Javier -- Hobolth, Asger -- Lappalainen, Tuuli -- Mailund, Thomas -- Marques-Bonet, Tomas -- McCarthy, Shane -- Montgomery, Stephen H -- Schwalie, Petra C -- Tang, Y Amy -- Ward, Michelle C -- Xue, Yali -- Yngvadottir, Bryndis -- Alkan, Can -- Andersen, Lars N -- Ayub, Qasim -- Ball, Edward V -- Beal, Kathryn -- Bradley, Brenda J -- Chen, Yuan -- Clee, Chris M -- Fitzgerald, Stephen -- Graves, Tina A -- Gu, Yong -- Heath, Paul -- Heger, Andreas -- Karakoc, Emre -- Kolb-Kokocinski, Anja -- Laird, Gavin K -- Lunter, Gerton -- Meader, Stephen -- Mort, Matthew -- Mullikin, James C -- Munch, Kasper -- O'Connor, Timothy D -- Phillips, Andrew D -- Prado-Martinez, Javier -- Rogers, Anthony S -- Sajjadian, Saba -- Schmidt, Dominic -- Shaw, Katy -- Simpson, Jared T -- Stenson, Peter D -- Turner, Daniel J -- Vigilant, Linda -- Vilella, Albert J -- Whitener, Weldon -- Zhu, Baoli -- Cooper, David N -- de Jong, Pieter -- Dermitzakis, Emmanouil T -- Eichler, Evan E -- Flicek, Paul -- Goldman, Nick -- Mundy, Nicholas I -- Ning, Zemin -- Odom, Duncan T -- Ponting, Chris P -- Quail, Michael A -- Ryder, Oliver A -- Searle, Stephen M -- Warren, Wesley C -- Wilson, Richard K -- Schierup, Mikkel H -- Rogers, Jane -- Tyler-Smith, Chris -- Durbin, Richard -- 062023/Wellcome Trust/United Kingdom -- 075491/Z/04/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077192/Wellcome Trust/United Kingdom -- 077198/Wellcome Trust/United Kingdom -- 089066/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 095908/Wellcome Trust/United Kingdom -- 15603/Cancer Research UK/United Kingdom -- 202218/European Research Council/International -- A15603/Cancer Research UK/United Kingdom -- G0501331/Medical Research Council/United Kingdom -- G0701805/Medical Research Council/United Kingdom -- HG002385/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- WT062023/Wellcome Trust/United Kingdom -- WT077009/Wellcome Trust/United Kingdom -- WT077192/Wellcome Trust/United Kingdom -- WT077198/Wellcome Trust/United Kingdom -- WT089066/Wellcome Trust/United Kingdom -- Medical Research Council/United Kingdom -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- England -- Nature. 2012 Mar 7;483(7388):169-75. doi: 10.1038/nature10842.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22398555" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Evolution, Molecular ; Female ; Gene Expression Regulation ; *Genetic Speciation ; Genetic Variation/genetics ; Genome/*genetics ; Genomics ; Gorilla gorilla/*genetics ; Humans ; Macaca mulatta/genetics ; Molecular Sequence Data ; Pan troglodytes/genetics ; Phylogeny ; Pongo/genetics ; Proteins/genetics ; Sequence Alignment ; Species Specificity ; Transcription, Genetic
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  • 96
    Publication Date: 2012-09-21
    Description: The Pacific oyster Crassostrea gigas belongs to one of the most species-rich but genomically poorly explored phyla, the Mollusca. Here we report the sequencing and assembly of the oyster genome using short reads and a fosmid-pooling strategy, along with transcriptomes of development and stress response and the proteome of the shell. The oyster genome is highly polymorphic and rich in repetitive sequences, with some transposable elements still actively shaping variation. Transcriptome studies reveal an extensive set of genes responding to environmental stress. The expansion of genes coding for heat shock protein 70 and inhibitors of apoptosis is probably central to the oyster's adaptation to sessile life in the highly stressful intertidal zone. Our analyses also show that shell formation in molluscs is more complex than currently understood and involves extensive participation of cells and their exosomes. The oyster genome sequence fills a void in our understanding of the Lophotrochozoa.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Guofan -- Fang, Xiaodong -- Guo, Ximing -- Li, Li -- Luo, Ruibang -- Xu, Fei -- Yang, Pengcheng -- Zhang, Linlin -- Wang, Xiaotong -- Qi, Haigang -- Xiong, Zhiqiang -- Que, Huayong -- Xie, Yinlong -- Holland, Peter W H -- Paps, Jordi -- Zhu, Yabing -- Wu, Fucun -- Chen, Yuanxin -- Wang, Jiafeng -- Peng, Chunfang -- Meng, Jie -- Yang, Lan -- Liu, Jun -- Wen, Bo -- Zhang, Na -- Huang, Zhiyong -- Zhu, Qihui -- Feng, Yue -- Mount, Andrew -- Hedgecock, Dennis -- Xu, Zhe -- Liu, Yunjie -- Domazet-Loso, Tomislav -- Du, Yishuai -- Sun, Xiaoqing -- Zhang, Shoudu -- Liu, Binghang -- Cheng, Peizhou -- Jiang, Xuanting -- Li, Juan -- Fan, Dingding -- Wang, Wei -- Fu, Wenjing -- Wang, Tong -- Wang, Bo -- Zhang, Jibiao -- Peng, Zhiyu -- Li, Yingxiang -- Li, Na -- Wang, Jinpeng -- Chen, Maoshan -- He, Yan -- Tan, Fengji -- Song, Xiaorui -- Zheng, Qiumei -- Huang, Ronglian -- Yang, Hailong -- Du, Xuedi -- Chen, Li -- Yang, Mei -- Gaffney, Patrick M -- Wang, Shan -- Luo, Longhai -- She, Zhicai -- Ming, Yao -- Huang, Wen -- Zhang, Shu -- Huang, Baoyu -- Zhang, Yong -- Qu, Tao -- Ni, Peixiang -- Miao, Guoying -- Wang, Junyi -- Wang, Qiang -- Steinberg, Christian E W -- Wang, Haiyan -- Li, Ning -- Qian, Lumin -- Zhang, Guojie -- Li, Yingrui -- Yang, Huanming -- Liu, Xiao -- Wang, Jian -- Yin, Ye -- Wang, Jun -- 268513/European Research Council/International -- England -- Nature. 2012 Oct 4;490(7418):49-54. doi: 10.1038/nature11413. Epub 2012 Sep 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22992520" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics ; Animal Shells/chemistry/*growth & development ; Animals ; Apoptosis Regulatory Proteins/genetics ; Crassostrea/*genetics ; DNA Transposable Elements/genetics ; Evolution, Molecular ; Female ; Gene Expression Regulation, Developmental/genetics ; Genes, Homeobox/genetics ; Genome/*genetics ; Genomics ; HSP70 Heat-Shock Proteins/genetics ; Humans ; Larva/genetics/growth & development ; Mass Spectrometry ; Molecular Sequence Annotation ; Molecular Sequence Data ; Polymorphism, Genetic/genetics ; Repetitive Sequences, Nucleic Acid/genetics ; Sequence Analysis, DNA ; Stress, Physiological/genetics/*physiology ; Transcriptome/genetics
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  • 97
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2012-09-14
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lupp, Claudia -- Skipper, Magdalena -- Weiss, Ursula -- England -- Nature. 2012 Sep 13;489(7415):219. doi: 10.1038/489219a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22972294" target="_blank"〉PubMed〈/a〉
    Keywords: Genomics ; *Health ; Humans ; Intestines/immunology/metabolism/*microbiology ; Metabolic Diseases/metabolism/microbiology ; *Metagenome
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  • 98
    Publication Date: 2012-11-30
    Description: Bread wheat (Triticum aestivum) is a globally important crop, accounting for 20 per cent of the calories consumed by humans. Major efforts are underway worldwide to increase wheat production by extending genetic diversity and analysing key traits, and genomic resources can accelerate progress. But so far the very large size and polyploid complexity of the bread wheat genome have been substantial barriers to genome analysis. Here we report the sequencing of its large, 17-gigabase-pair, hexaploid genome using 454 pyrosequencing, and comparison of this with the sequences of diploid ancestral and progenitor genomes. We identified between 94,000 and 96,000 genes, and assigned two-thirds to the three component genomes (A, B and D) of hexaploid wheat. High-resolution synteny maps identified many small disruptions to conserved gene order. We show that the hexaploid genome is highly dynamic, with significant loss of gene family members on polyploidization and domestication, and an abundance of gene fragments. Several classes of genes involved in energy harvesting, metabolism and growth are among expanded gene families that could be associated with crop productivity. Our analyses, coupled with the identification of extensive genetic variation, provide a resource for accelerating gene discovery and improving this major crop.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510651/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510651/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brenchley, Rachel -- Spannagl, Manuel -- Pfeifer, Matthias -- Barker, Gary L A -- D'Amore, Rosalinda -- Allen, Alexandra M -- McKenzie, Neil -- Kramer, Melissa -- Kerhornou, Arnaud -- Bolser, Dan -- Kay, Suzanne -- Waite, Darren -- Trick, Martin -- Bancroft, Ian -- Gu, Yong -- Huo, Naxin -- Luo, Ming-Cheng -- Sehgal, Sunish -- Gill, Bikram -- Kianian, Sharyar -- Anderson, Olin -- Kersey, Paul -- Dvorak, Jan -- McCombie, W Richard -- Hall, Anthony -- Mayer, Klaus F X -- Edwards, Keith J -- Bevan, Michael W -- Hall, Neil -- B/J004588/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/E004725/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G012865/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G013004/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G013985/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G024650/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/H022333/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0900753/Medical Research Council/United Kingdom -- G0900753(91100)/Medical Research Council/United Kingdom -- England -- Nature. 2012 Nov 29;491(7426):705-10. doi: 10.1038/nature11650.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Genome Research, University of Liverpool, Liverpool L69 7ZB, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23192148" target="_blank"〉PubMed〈/a〉
    Keywords: Brachypodium/genetics ; *Bread ; Chromosomes, Plant/genetics ; Crops, Agricultural/genetics ; DNA, Complementary/genetics ; DNA, Plant/genetics ; Evolution, Molecular ; Genes, Plant/genetics ; Genome, Plant/*genetics ; Genomics ; Multigene Family/genetics ; Oryza/genetics ; Polymorphism, Single Nucleotide/genetics ; Polyploidy ; Pseudogenes/genetics ; Sequence Alignment ; Sequence Analysis, DNA ; Triticum/classification/*genetics ; Zea mays/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 99
    Publication Date: 2012-04-13
    Description: Decoding post-transcriptional regulatory programs in RNA is a critical step towards the larger goal of developing predictive dynamical models of cellular behaviour. Despite recent efforts, the vast landscape of RNA regulatory elements remains largely uncharacterized. A long-standing obstacle is the contribution of local RNA secondary structure to the definition of interaction partners in a variety of regulatory contexts, including--but not limited to--transcript stability, alternative splicing and localization. There are many documented instances where the presence of a structural regulatory element dictates alternative splicing patterns (for example, human cardiac troponin T) or affects other aspects of RNA biology. Thus, a full characterization of post-transcriptional regulatory programs requires capturing information provided by both local secondary structures and the underlying sequence. Here we present a computational framework based on context-free grammars and mutual information that systematically explores the immense space of small structural elements and reveals motifs that are significantly informative of genome-wide measurements of RNA behaviour. By applying this framework to genome-wide human mRNA stability data, we reveal eight highly significant elements with substantial structural information, for the strongest of which we show a major role in global mRNA regulation. Through biochemistry, mass spectrometry and in vivo binding studies, we identified human HNRPA2B1 (heterogeneous nuclear ribonucleoprotein A2/B1, also known as HNRNPA2B1) as the key regulator that binds this element and stabilizes a large number of its target genes. We created a global post-transcriptional regulatory map based on the identity of the discovered linear and structural cis-regulatory elements, their regulatory interactions and their target pathways. This approach could also be used to reveal the structural elements that modulate other aspects of RNA behaviour.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3350620/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3350620/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Goodarzi, Hani -- Najafabadi, Hamed S -- Oikonomou, Panos -- Greco, Todd M -- Fish, Lisa -- Salavati, Reza -- Cristea, Ileana M -- Tavazoie, Saeed -- 2R01HG003219/HG/NHGRI NIH HHS/ -- DP1 DA026192/DA/NIDA NIH HHS/ -- DP1 OD003787/OD/NIH HHS/ -- DP1 OD003787-05/OD/NIH HHS/ -- R01 HG003219/HG/NHGRI NIH HHS/ -- R01 HG003219-08/HG/NHGRI NIH HHS/ -- T32-GM066699/GM/NIGMS NIH HHS/ -- England -- Nature. 2012 Apr 8;485(7397):264-8. doi: 10.1038/nature11013.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22495308" target="_blank"〉PubMed〈/a〉
    Keywords: 3' Untranslated Regions/genetics/physiology ; Algorithms ; Animals ; Breast Neoplasms/genetics ; Cell Line, Tumor ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Knockdown Techniques ; Genome, Human/genetics ; Genomics ; Heterogeneous-Nuclear Ribonucleoprotein Group A-B/genetics/metabolism ; Humans ; Mice ; *Nucleic Acid Conformation ; Nucleotide Motifs ; *RNA Stability/genetics ; RNA, Messenger/chemistry/*genetics/*metabolism ; RNA, Small Interfering ; Time Factors ; Transcription, Genetic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 100
    Publication Date: 2012-07-18
    Description: Although there has been much success in identifying genetic variants associated with common diseases using genome-wide association studies (GWAS), it has been difficult to demonstrate which variants are causal and what role they have in disease. Moreover, the modest contribution that these variants make to disease risk has raised questions regarding their medical relevance. Here we have investigated a single nucleotide polymorphism (SNP) in the TNFRSF1A gene, that encodes tumour necrosis factor receptor 1 (TNFR1), which was discovered through GWAS to be associated with multiple sclerosis (MS), but not with other autoimmune conditions such as rheumatoid arthritis, psoriasis and Crohn's disease. By analysing MS GWAS data in conjunction with the 1000 Genomes Project data we provide genetic evidence that strongly implicates this SNP, rs1800693, as the causal variant in the TNFRSF1A region. We further substantiate this through functional studies showing that the MS risk allele directs expression of a novel, soluble form of TNFR1 that can block TNF. Importantly, TNF-blocking drugs can promote onset or exacerbation of MS, but they have proven highly efficacious in the treatment of autoimmune diseases for which there is no association with rs1800693. This indicates that the clinical experience with these drugs parallels the disease association of rs1800693, and that the MS-associated TNFR1 variant mimics the effect of TNF-blocking drugs. Hence, our study demonstrates that clinical practice can be informed by comparing GWAS across common autoimmune diseases and by investigating the functional consequences of the disease-associated genetic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268493/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268493/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gregory, Adam P -- Dendrou, Calliope A -- Attfield, Kathrine E -- Haghikia, Aiden -- Xifara, Dionysia K -- Butter, Falk -- Poschmann, Gereon -- Kaur, Gurman -- Lambert, Lydia -- Leach, Oliver A -- Promel, Simone -- Punwani, Divya -- Felce, James H -- Davis, Simon J -- Gold, Ralf -- Nielsen, Finn C -- Siegel, Richard M -- Mann, Matthias -- Bell, John I -- McVean, Gil -- Fugger, Lars -- 086084/Wellcome Trust/United Kingdom -- 086084/Z/08/Z/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 098274/Wellcome Trust/United Kingdom -- G0800500/Medical Research Council/United Kingdom -- G1000800I/Medical Research Council/United Kingdom -- MC_U137881016/Medical Research Council/United Kingdom -- MC_UU_12010/3/Medical Research Council/United Kingdom -- Medical Research Council/United Kingdom -- England -- Nature. 2012 Aug 23;488(7412):508-11. doi: 10.1038/nature11307.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22801493" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Exons/genetics ; Genetic Predisposition to Disease/*genetics ; Genome, Human/genetics ; Genome-Wide Association Study ; Genomics ; Genotype ; Great Britain ; Humans ; Multiple Sclerosis/*chemically induced/drug therapy/*genetics ; Polymorphism, Single Nucleotide/*genetics ; RNA Splicing/genetics ; Receptors, Tumor Necrosis Factor, Type I/analysis/*genetics/metabolism ; Solubility ; Tumor Necrosis Factor-alpha/*antagonists & inhibitors/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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