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  • Genomics
  • Oxford University Press  (28)
  • American Association for the Advancement of Science (AAAS)  (13)
  • Wiley
  • Wiley-Blackwell
  • 2015-2019  (41)
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  • 1
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2017-03-03
    Description: At a biogenomics meeting in Washington, D.C., last week, researchers publicly unveiled the Earth BioGenome Project (EBP). The audacious goal of the still-unfunded effort is to decipher the genomes of every species, starting with the 1.5 million named eukaryotes—the group of organisms that includes all plants, animals, and single-celled organisms such as amoebas. Researchers drew parallels to the Human Genome Project, which also began as an ambitious, controversial, and technically daunting proposal. The EBP would focus on the natural world, providing a better understanding of biodiversity by first sequencing in great detail the DNA of a member of each eukaryotic family (about 9000 in all) and eventually generating coarser genomes for the other eukaryotes. Although many biologists are excited about these goals, they point out that significant challenges lie ahead, including funding, sample collection, and broadening international participation. Author: Elizabeth Pennisi
    Keywords: Genomics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-12-01
    Description: The RAG1/RAG2 endonuclease initiates V(D)J recombination at antigen receptor loci but also binds to thousands of places outside of these loci. RAG2 localizes directly to lysine 4 trimethylated histone 3 (H3K4me3) through a plant homeodomain (PHD) finger. The relative contribution of RAG2-dependent and RAG1-intrinsic mechanisms in determining RAG1 binding patterns is not known. Through analysis of deep RAG1 ChIP-seq data, we provide a quantitative description of the forces underlying genome-wide targeting of RAG1. Surprisingly, sequence-specific DNA binding contributes minimally to RAG1 targeting outside of antigen receptor loci. Instead, RAG1 binding is driven by two distinct modes of interaction with chromatin: the first is driven by H3K4me3, promoter-focused and dependent on the RAG2 PHD, and the second is defined by H3K27Ac, enhancer-focused and dependent on ‘non-core’ portions of RAG1. Based on this and additional chromatin and genomic features, we formulated a predictive model of RAG1 targeting to the genome. RAG1 binding sites predicted by our model correlate well with observed patterns of RAG1-mediated breaks in human pro-B acute lymphoblastic leukemia. Overall, this study provides an integrative model for RAG1 genome-wide binding and off-target activity and reveals a novel role for the RAG1 non-core region in RAG1 targeting.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 3
    Publication Date: 2016-11-01
    Description: Presence of excess unaltered, wild-type (WT) DNA providing no information of biological or clinical value often masks rare alterations containing diagnostic or therapeutic clues in cancer, prenatal diagnosis, infectious diseases or organ transplantation. With the surge of high-throughput technologies there is a growing demand for removing unaltered DNA over large pools-of-sequences. Here we present nuclease-assisted minor-allele enrichment with probe-overlap (NaME-PrO), a single-step approach with broad genome coverage that can remove WT-DNA from numerous sequences simultaneously, prior to genomic analysis. NaME-PrO employs a double-strand-DNA-specific nuclease and overlapping oligonucleotide-probes interrogating WT-DNA targets and guiding nuclease digestion to these sites. Mutation-containing DNA creates probe-DNA mismatches that inhibit digestion, thus subsequent DNA-amplification magnifies DNA-alterations at all selected targets. We demonstrate several-hundred-fold mutation enrichment in diverse human samples on multiple clinically relevant targets including tumor samples and circulating DNA in 50-plex reactions. Enrichment enables routine mutation detection at 0.01% abundance while by adjusting conditions it is possible to sequence mutations down to 0.00003% abundance, or to scan tumor-suppressor genes for rare mutations. NaME-PrO introduces a simple and highly parallel process to remove un-informative DNA sequences and unmask clinically and biologically useful alterations.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 4
    Publication Date: 2016-09-03
    Description: A majority of large-scale bacterial genome rearrangements involve mobile genetic elements such as insertion sequence (IS) elements. Here we report novel insertions and excisions of IS elements and recombination between homologous IS elements identified in a large collection of Escherichia coli mutation accumulation lines by analysis of whole genome shotgun sequencing data. Based on 857 identified events (758 IS insertions, 98 recombinations and 1 excision), we estimate that the rate of IS insertion is 3.5 x 10 –4 insertions per genome per generation and the rate of IS homologous recombination is 4.5 x 10 –5 recombinations per genome per generation. These events are mostly contributed by the IS elements IS 1 , IS 2 , IS 5 and IS 186 . Spatial analysis of new insertions suggest that transposition is biased to proximal insertions, and the length spectrum of IS-caused deletions is largely explained by local hopping. For any of the ISs studied there is no region of the circular genome that is favored or disfavored for new insertions but there are notable hotspots for deletions. Some elements have preferences for non-coding sequence or for the beginning and end of coding regions, largely explained by target site motifs. Interestingly, transposition and deletion rates remain constant across the wild-type and 12 mutant E. coli lines, each deficient in a distinct DNA repair pathway. Finally, we characterized the target sites of four IS families, confirming previous results and characterizing a highly specific pattern at IS 186 target-sites, 5'-GGGG(N6/N7)CCCC-3'. We also detected 48 long deletions not involving IS elements.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 5
    Publication Date: 2016-08-20
    Description: Advanced sequencing technologies have generated a plethora of data for many chromatin marks in multiple tissues and cell types, yet there is lack of a generalized tool for optimal utility of those data. A major challenge is to quantitatively model the epigenetic dynamics across both the genome and many cell types for understanding their impacts on differential gene regulation and disease. We introduce IDEAS, an i ntegrative and d iscriminative e pigenome a nnotation s ystem, for jointly characterizing epigenetic landscapes in many cell types and detecting differential regulatory regions. A key distinction between our method and existing state-of-the-art algorithms is that IDEAS integrates epigenomes of many cell types simultaneously in a way that preserves the position-dependent and cell type-specific information at fine scales, thereby greatly improving segmentation accuracy and producing comparable annotations across cell types.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 6
    Publication Date: 2016-07-28
    Description: Sexual differentiation of malaria parasites into gametocytes in the vertebrate host and subsequent gamete fertilization in mosquitoes is essential for the spreading of the disease. The molecular processes orchestrating these transitions are far from fully understood. Here, we report the first transcriptome analysis of male and female Plasmodium falciparum gametocytes coupled with a comprehensive proteome analysis. In male gametocytes there is an enrichment of proteins involved in the formation of flagellated gametes; proteins involved in DNA replication, chromatin organization and axoneme formation. On the other hand, female gametocytes are enriched in proteins required for zygote formation and functions after fertilization; protein-, lipid- and energy-metabolism. Integration of transcriptome and proteome data revealed 512 highly expressed maternal transcripts without corresponding protein expression indicating large scale translational repression in P. falciparum female gametocytes for the first time. Despite a high degree of conservation between Plasmodium species, 260 of these ‘repressed transcripts’ have not been previously described. Moreover, for some of these genes, protein expression is only reported in oocysts and sporozoites indicating that repressed transcripts can be partitioned into short- and long-term storage. Finally, these data sets provide an essential resource for identification of vaccine/drug targets and for further mechanistic studies.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 7
    Publication Date: 2016-07-09
    Description: Chromosome-long haplotyping of human genomes is important to identify genetic variants with differing gene expression, in human evolution studies, clinical diagnosis, and other biological and medical fields. Although several methods have realized haplotyping based on sequencing technologies or population statistics, accuracy and cost are factors that prohibit their wide use. Borrowing ideas from group testing theories, we proposed a clone-based haplotyping method by overlapping pool sequencing. The clones from a single individual were pooled combinatorially and then sequenced. According to the distinct pooling pattern for each clone in the overlapping pool sequencing, alleles for the recovered variants could be assigned to their original clones precisely. Subsequently, the clone sequences could be reconstructed by linking these alleles accordingly and assembling them into haplotypes with high accuracy. To verify the utility of our method, we constructed 130 110 clones in silico for the individual NA12878 and simulated the pooling and sequencing process. Ultimately, 99.9% of variants on chromosome 1 that were covered by clones from both parental chromosomes were recovered correctly, and 112 haplotype contigs were assembled with an N50 length of 3.4 Mb and no switch errors. A comparison with current clone-based haplotyping methods indicated our method was more accurate.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 8
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-06-10
    Description: Early data-sharing efforts have led to improved variant interpretation and development of treatments for rare diseases and some cancer types (1–3). However, such benefits will only be available to the general population if researchers and clinicians can access and make comparisons across data from millions of individuals. Author:
    Keywords: Genomics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2016-05-20
    Description: Visualization of chromosomal dynamics is important for understanding many fundamental intra-nuclear processes. Efficient and reliable live-cell multicolor labeling of chromosomal loci can realize this goal. However, the current methods are constrained mainly by insufficient labeling throughput, efficiency, flexibility as well as photostability. Here we have developed a new approach to realize dual-color chromosomal loci imaging based on a modified single-guide RNA (sgRNA) of the CRISPR/Cas9 system. The modification of sgRNA was optimized by structure-guided engineering of the original sgRNA, consisting of RNA aptamer insertions that bind fluorescent protein-tagged effectors. By labeling and tracking telomeres, centromeres and genomic loci, we demonstrate that the new approach is easy to implement and enables robust dual-color imaging of genomic elements. Importantly, our data also indicate that the fast exchange rate of RNA aptamer binding effectors makes our sgRNA-based labeling method much more tolerant to photobleaching than the Cas9-based labeling method. This is crucial for continuous, long-term tracking of chromosomal dynamics. Lastly, as our method is complementary to other live-cell genomic labeling systems, it is therefore possible to combine them into a plentiful palette for the study of native chromatin organization and genome ultrastructure dynamics in living cells.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 10
    Publication Date: 2016-04-29
    Description: To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tirosh, Itay -- Izar, Benjamin -- Prakadan, Sanjay M -- Wadsworth, Marc H 2nd -- Treacy, Daniel -- Trombetta, John J -- Rotem, Asaf -- Rodman, Christopher -- Lian, Christine -- Murphy, George -- Fallahi-Sichani, Mohammad -- Dutton-Regester, Ken -- Lin, Jia-Ren -- Cohen, Ofir -- Shah, Parin -- Lu, Diana -- Genshaft, Alex S -- Hughes, Travis K -- Ziegler, Carly G K -- Kazer, Samuel W -- Gaillard, Aleth -- Kolb, Kellie E -- Villani, Alexandra-Chloe -- Johannessen, Cory M -- Andreev, Aleksandr Y -- Van Allen, Eliezer M -- Bertagnolli, Monica -- Sorger, Peter K -- Sullivan, Ryan J -- Flaherty, Keith T -- Frederick, Dennie T -- Jane-Valbuena, Judit -- Yoon, Charles H -- Rozenblatt-Rosen, Orit -- Shalek, Alex K -- Regev, Aviv -- Garraway, Levi A -- 1U24CA180922/CA/NCI NIH HHS/ -- DP2 OD020839/OD/NIH HHS/ -- K99 CA194163/CA/NCI NIH HHS/ -- K99CA194163/CA/NCI NIH HHS/ -- P01CA163222/CA/NCI NIH HHS/ -- P30-CA14051/CA/NCI NIH HHS/ -- P50GM107618/GM/NIGMS NIH HHS/ -- R35CA197737/CA/NCI NIH HHS/ -- U54CA112962/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Apr 8;352(6282):189-96. doi: 10.1126/science.aad0501.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Department of Chemistry, MIT, Cambridge, MA 02142, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. ; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. ; Program in Therapeutic Sciences, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. ; HMS LINCS Center and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. ; Department of Surgical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Department of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. ; Program in Therapeutic Sciences, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. HMS LINCS Center and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA. Ludwig Center at Harvard, Boston, MA 02215, USA. ; Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Department of Chemistry, MIT, Cambridge, MA 02142, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Department of Immunology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Biology and Koch Institute, MIT, Boston, MA 02142, USA. Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27124452" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Cell Communication ; Cell Cycle ; Drug Resistance, Neoplasm/genetics ; Endothelial Cells/pathology ; Genomics ; Humans ; Immunotherapy ; Lymphocyte Activation ; Melanoma/*genetics/*secondary/therapy ; Microphthalmia-Associated Transcription Factor/metabolism ; Neoplasm Metastasis ; RNA/genetics ; Sequence Analysis, RNA ; Single-Cell Analysis ; Skin Neoplasms/*pathology ; Stromal Cells/pathology ; T-Lymphocytes/immunology/pathology ; Transcriptome ; *Tumor Microenvironment
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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