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  • 1
    Publication Date: 2013-11-27
    Description: Replication of lentiviruses generates different DNA forms, including RNA:DNA hybrids, ssDNA, and dsDNA. Nucleic acids stimulate innate immune responses, and pattern recognition receptors detecting dsDNA have been identified. However, sensors for ssDNA have not been reported, and the ability of RNA:DNA hybrids to stimulate innate immune responses is controversial. Using...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2008-07-05
    Description: DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896277/" 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/PMC2896277/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Meissner, Alexander -- Mikkelsen, Tarjei S -- Gu, Hongcang -- Wernig, Marius -- Hanna, Jacob -- Sivachenko, Andrey -- Zhang, Xiaolan -- Bernstein, Bradley E -- Nusbaum, Chad -- Jaffe, David B -- Gnirke, Andreas -- Jaenisch, Rudolf -- Lander, Eric S -- R01 HG004401/HG/NHGRI NIH HHS/ -- R01 HG004401-02/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-04/HG/NHGRI NIH HHS/ -- U54 HG003067-06/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Aug 7;454(7205):766-70. doi: 10.1038/nature07107. Epub 2008 Jul 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18600261" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Cell Differentiation ; Cells, Cultured ; Conserved Sequence ; CpG Islands/genetics ; *DNA Methylation ; Embryonic Stem Cells/cytology/metabolism ; Fibroblasts/cytology ; Genome/genetics ; *Genomics ; Histones/genetics/metabolism ; Male ; Mice ; Neurons/cytology ; Pluripotent Stem Cells/*cytology/*metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2008-05-30
    Description: Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754827/" 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/PMC2754827/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mikkelsen, Tarjei S -- Hanna, Jacob -- Zhang, Xiaolan -- Ku, Manching -- Wernig, Marius -- Schorderet, Patrick -- Bernstein, Bradley E -- Jaenisch, Rudolf -- Lander, Eric S -- Meissner, Alexander -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-04/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Jul 3;454(7200):49-55. doi: 10.1038/nature07056. Epub 2008 May 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18509334" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Azacitidine/pharmacology ; Cell Line ; Cell Lineage ; Cellular Reprogramming/*genetics ; Chromatin/metabolism ; DNA (Cytosine-5-)-Methyltransferase/antagonists & inhibitors/genetics/metabolism ; DNA Methylation ; Embryonic Stem Cells/metabolism ; Enzyme Inhibitors/pharmacology ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Genome/genetics ; *Genomics ; Mice ; Pluripotent Stem Cells/cytology/*metabolism ; Transcription Factors/deficiency/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2009-02-03
    Description: There is growing recognition that mammalian cells produce many thousands of large intergenic transcripts. However, the functional significance of these transcripts has been particularly controversial. Although there are some well-characterized examples, most (〉95%) show little evidence of evolutionary conservation and have been suggested to represent transcriptional noise. Here we report a new approach to identifying large non-coding RNAs using chromatin-state maps to discover discrete transcriptional units intervening known protein-coding loci. Our approach identified approximately 1,600 large multi-exonic RNAs across four mouse cell types. In sharp contrast to previous collections, these large intervening non-coding RNAs (lincRNAs) show strong purifying selection in their genomic loci, exonic sequences and promoter regions, with greater than 95% showing clear evolutionary conservation. We also developed a functional genomics approach that assigns putative functions to each lincRNA, demonstrating a diverse range of roles for lincRNAs in processes from embryonic stem cell pluripotency to cell proliferation. We obtained independent functional validation for the predictions for over 100 lincRNAs, using cell-based assays. In particular, we demonstrate that specific lincRNAs are transcriptionally regulated by key transcription factors in these processes such as p53, NFkappaB, Sox2, Oct4 (also known as Pou5f1) and Nanog. Together, these results define a unique collection of functional lincRNAs that are highly conserved and implicated in diverse biological processes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754849/" 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/PMC2754849/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guttman, Mitchell -- Amit, Ido -- Garber, Manuel -- French, Courtney -- Lin, Michael F -- Feldser, David -- Huarte, Maite -- Zuk, Or -- Carey, Bryce W -- Cassady, John P -- Cabili, Moran N -- Jaenisch, Rudolf -- Mikkelsen, Tarjei S -- Jacks, Tyler -- Hacohen, Nir -- Bernstein, Bradley E -- Kellis, Manolis -- Regev, Aviv -- Rinn, John L -- Lander, Eric S -- DP1 OD003958/OD/NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01 HG004037-02/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-05/HG/NHGRI NIH HHS/ -- England -- Nature. 2009 Mar 12;458(7235):223-7. doi: 10.1038/nature07672. Epub 2009 Feb 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19182780" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Cells, Cultured ; Chromatin/*genetics ; *Conserved Sequence/genetics ; DNA, Intergenic ; Exons/genetics ; Mammals/*genetics ; Mice ; Promoter Regions, Genetic/genetics ; RNA/*genetics ; Reproducibility of Results ; Transcription Factors/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2014-12-24
    Description: Models derived from human pluripotent stem cells that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. Notch signalling, particularly through the Notch effector HES5, is a major pathway critical for the onset and maintenance of neural progenitor cells in the embryonic and adult nervous system. Here we report the transcriptional and epigenomic analysis of six consecutive neural progenitor cell stages derived from a HES5::eGFP reporter human embryonic stem cell line. Using this system, we aimed to model cell-fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells. In order to dissect regulatory mechanisms that orchestrate the stage-specific differentiation process, we developed a computational framework to infer key regulators of each cell-state transition based on the progressive remodelling of the epigenetic landscape and then validated these through a pooled short hairpin RNA screen. We were also able to refine our previous observations on epigenetic priming at transcription factor binding sites and suggest here that they are mediated by combinations of core and stage-specific factors. Taken together, we demonstrate the utility of our system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336237/" 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/PMC4336237/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ziller, Michael J -- Edri, Reuven -- Yaffe, Yakey -- Donaghey, Julie -- Pop, Ramona -- Mallard, William -- Issner, Robbyn -- Gifford, Casey A -- Goren, Alon -- Xing, Jeffrey -- Gu, Hongcang -- Cacchiarelli, Davide -- Tsankov, Alexander M -- Epstein, Charles -- Rinn, John L -- Mikkelsen, Tarjei S -- Kohlbacher, Oliver -- Gnirke, Andreas -- Bernstein, Bradley E -- Elkabetz, Yechiel -- Meissner, Alexander -- F32 DK095537/DK/NIDDK NIH HHS/ -- HG006911/HG/NHGRI NIH HHS/ -- P01 GM099117/GM/NIGMS NIH HHS/ -- P01GM099117/GM/NIGMS NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- England -- Nature. 2015 Feb 19;518(7539):355-9. doi: 10.1038/nature13990. Epub 2014 Dec 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Department of Cell and Developmental Biology, Sackler School of Medicine, Tel Aviv University, Ramat Aviv 6997801, Israel. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA [3] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Applied Bioinformatics, Center for Bioinformatics and Quantitative Biology Center, University of Tubingen, Tubingen 72076, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25533951" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Differentiation/*genetics ; Cell Lineage/genetics ; Embryonic Stem Cells/*cytology/metabolism ; Epigenesis, Genetic/*genetics ; Epigenomics/*methods ; Humans ; Neural Stem Cells/*cytology/*metabolism ; RNA, Small Interfering/analysis/genetics ; Reproducibility of Results ; Transcription Factors/metabolism ; Transcription, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2005-09-10
    Description: Recent studies have shown multiple differences between humans and apes in sialic acid (Sia) biology, including Siglecs (Sia-recognizing-Ig-superfamily lectins). Comparisons with the chimpanzee genome indicate that human SIGLEC11 emerged through human-specific gene conversion by an adjacent pseudogene. Conversion involved 5 cent untranslated sequences and the Sia-recognition domain. This human protein shows reduced binding relative to the ancestral form but recognizes oligosialic acids, which are enriched in the brain. SIGLEC11 is expressed in human but not in chimpanzee brain microglia. Further studies will determine if this event was related to the evolution of Homo.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hayakawa, Toshiyuki -- Angata, Takashi -- Lewis, Amanda L -- Mikkelsen, Tarjei S -- Varki, Nissi M -- Varki, Ajit -- R01GM32373/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2005 Sep 9;309(5741):1693.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Glycobiology Research and Training Center, University of California at San Diego, La Jolla, CA 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16151003" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biological Evolution ; Brain/*metabolism ; Exons ; *Gene Conversion ; Humans ; Lectins/*genetics/metabolism ; Membrane Proteins/*genetics/metabolism ; Microglia/*metabolism ; Pan troglodytes/genetics/metabolism ; Phylogeny ; Pongo pygmaeus/genetics/metabolism ; Pseudogenes ; Regulatory Sequences, Nucleic Acid ; Sialic Acids/metabolism
    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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  • 7
    Publication Date: 2011-03-29
    Description: Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088773/" 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/PMC3088773/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ernst, Jason -- Kheradpour, Pouya -- Mikkelsen, Tarjei S -- Shoresh, Noam -- Ward, Lucas D -- Epstein, Charles B -- Zhang, Xiaolan -- Wang, Li -- Issner, Robbyn -- Coyne, Michael -- Ku, Manching -- Durham, Timothy -- Kellis, Manolis -- Bernstein, Bradley E -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG004570-01/HG/NHGRI NIH HHS/ -- U54 HG004570-02/HG/NHGRI NIH HHS/ -- U54 HG004570-02S1/HG/NHGRI NIH HHS/ -- U54 HG004570-03/HG/NHGRI NIH HHS/ -- U54 HG004570-03S1/HG/NHGRI NIH HHS/ -- U54 HG004570-04/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 May 5;473(7345):43-9. doi: 10.1038/nature09906. Epub 2011 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21441907" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Line ; Cell Line, Tumor ; *Cell Physiological Phenomena ; Cells, Cultured ; Chromatin/*genetics/*metabolism ; *Chromosome Mapping ; Gene Expression Regulation ; Genome, Human/genetics ; Hep G2 Cells ; Humans ; Promoter Regions, Genetic/genetics ; Reproducibility of Results ; Transcription Factors/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2012-03-30
    Description: DNA methylation is highly dynamic during mammalian embryogenesis. It is broadly accepted that the paternal genome is actively depleted of 5-methylcytosine at fertilization, followed by passive loss that reaches a minimum at the blastocyst stage. However, this model is based on limited data, and so far no base-resolution maps exist to support and refine it. Here we generate genome-scale DNA methylation maps in mouse gametes and from the zygote through post-implantation. We find that the oocyte already exhibits global hypomethylation, particularly at specific families of long interspersed element 1 and long terminal repeat retroelements, which are disparately methylated between gametes and have lower methylation values in the zygote than in sperm. Surprisingly, the oocyte contributes a unique set of differentially methylated regions (DMRs)--including many CpG island promoters--that are maintained in the early embryo but are lost upon specification and absent from somatic cells. In contrast, sperm-contributed DMRs are largely intergenic and become hypermethylated after the blastocyst stage. Our data provide a genome-scale, base-resolution timeline of DNA methylation in the pre-specified embryo, when this epigenetic modification is most dynamic, before returning to the canonical somatic pattern.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3331945/" 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/PMC3331945/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Smith, Zachary D -- Chan, Michelle M -- Mikkelsen, Tarjei S -- Gu, Hongcang -- Gnirke, Andreas -- Regev, Aviv -- Meissner, Alexander -- 1P50HG006193-01/HG/NHGRI NIH HHS/ -- 5DP1OD003958/OD/NIH HHS/ -- 5RC1AA019317/AA/NIAAA NIH HHS/ -- DP1 CA174427/CA/NCI NIH HHS/ -- DP1 OD003958/OD/NIH HHS/ -- DP1 OD003958-04/OD/NIH HHS/ -- P01GM099117/GM/NIGMS NIH HHS/ -- P50 HG006193/HG/NHGRI NIH HHS/ -- P50 HG006193-01/HG/NHGRI NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Mar 28;484(7394):339-44. doi: 10.1038/nature10960.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22456710" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; CpG Islands/genetics ; *DNA Methylation/genetics ; Embryo, Mammalian/*embryology/*metabolism ; Embryonic Development/*genetics ; Female ; Fertilization/genetics ; Genome/genetics ; Long Interspersed Nucleotide Elements/genetics ; Male ; Mice ; Oocytes/metabolism ; Spermatozoa/metabolism ; Terminal Repeat Sequences/genetics ; Zygote/metabolism
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2006-06-17
    Description: Positive natural selection is the force that drives the increase in prevalence of advantageous traits, and it has played a central role in our development as a species. Until recently, the study of natural selection in humans has largely been restricted to comparing individual candidate genes to theoretical expectations. The advent of genome-wide sequence and polymorphism data brings fundamental new tools to the study of natural selection. It is now possible to identify new candidates for selection and to reevaluate previous claims by comparison with empirical distributions of DNA sequence variation across the human genome and among populations. The flood of data and analytical methods, however, raises many new challenges. Here, we review approaches to detect positive natural selection, describe results from recent analyses of genome-wide data, and discuss the prospects and challenges ahead as we expand our understanding of the role of natural selection in shaping the human genome.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sabeti, P C -- Schaffner, S F -- Fry, B -- Lohmueller, J -- Varilly, P -- Shamovsky, O -- Palma, A -- Mikkelsen, T S -- Altshuler, D -- Lander, E S -- New York, N.Y. -- Science. 2006 Jun 16;312(5780):1614-20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, MA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16778047" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Biological Evolution ; Gene Frequency ; Genetic Variation ; Genetics, Population ; *Genome, Human ; Haplotypes ; Humans ; Mutation ; Polymorphism, Genetic ; *Selection, Genetic ; Sequence Analysis, DNA
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2013-12-18
    Description: The simplicity of programming the CRISPR (clustered regularly interspaced short palindromic repeats)-associated nuclease Cas9 to modify specific genomic loci suggests a new way to interrogate gene function on a genome-wide scale. We show that lentiviral delivery of a genome-scale CRISPR-Cas9 knockout (GeCKO) library targeting 18,080 genes with 64,751 unique guide sequences enables both negative and positive selection screening in human cells. First, we used the GeCKO library to identify genes essential for cell viability in cancer and pluripotent stem cells. Next, in a melanoma model, we screened for genes whose loss is involved in resistance to vemurafenib, a therapeutic RAF inhibitor. Our highest-ranking candidates include previously validated genes NF1 and MED12, as well as novel hits NF2, CUL3, TADA2B, and TADA1. We observe a high level of consistency between independent guide RNAs targeting the same gene and a high rate of hit confirmation, demonstrating the promise of genome-scale screening with Cas9.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089965/" 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/PMC4089965/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shalem, Ophir -- Sanjana, Neville E -- Hartenian, Ella -- Shi, Xi -- Scott, David A -- Mikkelsen, Tarjei S -- Heckl, Dirk -- Ebert, Benjamin L -- Root, David E -- Doench, John G -- Zhang, Feng -- 1DP1-MH100706/DP/NCCDPHP CDC HHS/ -- 1R01-DK097768/DK/NIDDK NIH HHS/ -- DP1 MH100706/MH/NIMH NIH HHS/ -- R01 DK097768/DK/NIDDK NIH HHS/ -- New York, N.Y. -- Science. 2014 Jan 3;343(6166):84-7. doi: 10.1126/science.1247005. Epub 2013 Dec 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24336571" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptor Proteins, Signal Transducing/genetics ; Caspase 9/*genetics ; Cell Survival/*genetics ; *Clustered Regularly Interspaced Short Palindromic Repeats ; Cullin Proteins/genetics ; Drug Resistance, Neoplasm/*genetics ; Gene Knockout Techniques ; Gene Library ; Genes, Neurofibromatosis 1 ; Genes, Neurofibromatosis 2 ; Genetic Loci ; Genetic Testing/*methods ; Genome-Wide Association Study ; Humans ; Indoles/therapeutic use ; Lentivirus ; Mediator Complex/genetics ; Melanoma/drug therapy/*genetics ; Pluripotent Stem Cells/*metabolism ; Protein Kinase Inhibitors/therapeutic use ; Selection, Genetic ; Sulfonamides/therapeutic use ; Transcription Factors/genetics ; raf Kinases/antagonists & inhibitors
    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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