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  • 1
    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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  • 2
    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
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  • 3
    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
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    Electronic ISSN: 1476-4687
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  • 4
    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
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  • 5
    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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  • 6
    Publication Date: 2014-11-05
    Description: Genome-wide association studies have identified loci underlying human diseases, but the causal nucleotide changes and mechanisms remain largely unknown. Here we developed a fine-mapping algorithm to identify candidate causal variants for 21 autoimmune diseases from genotyping data. We integrated these predictions with transcription and cis-regulatory element annotations, derived by mapping RNA and chromatin in primary immune cells, including resting and stimulated CD4(+) T-cell subsets, regulatory T cells, CD8(+) T cells, B cells, and monocytes. We find that approximately 90% of causal variants are non-coding, with approximately 60% mapping to immune-cell enhancers, many of which gain histone acetylation and transcribe enhancer-associated RNA upon immune stimulation. Causal variants tend to occur near binding sites for master regulators of immune differentiation and stimulus-dependent gene activation, but only 10-20% directly alter recognizable transcription factor binding motifs. Rather, most non-coding risk variants, including those that alter gene expression, affect non-canonical sequence determinants not well-explained by current gene regulatory models.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336207/" 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/PMC4336207/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Farh, Kyle Kai-How -- Marson, Alexander -- Zhu, Jiang -- Kleinewietfeld, Markus -- Housley, William J -- Beik, Samantha -- Shoresh, Noam -- Whitton, Holly -- Ryan, Russell J H -- Shishkin, Alexander A -- Hatan, Meital -- Carrasco-Alfonso, Marlene J -- Mayer, Dita -- Luckey, C John -- Patsopoulos, Nikolaos A -- De Jager, Philip L -- Kuchroo, Vijay K -- Epstein, Charles B -- Daly, Mark J -- Hafler, David A -- Bernstein, Bradley E -- 12-0089/Worldwide Cancer Research/United Kingdom -- AI039671/AI/NIAID NIH HHS/ -- AI045757/AI/NIAID NIH HHS/ -- AI046130/AI/NIAID NIH HHS/ -- AI070352/AI/NIAID NIH HHS/ -- ES017155/ES/NIEHS NIH HHS/ -- GM093080/GM/NIGMS NIH HHS/ -- HG004570/HG/NHGRI NIH HHS/ -- NS067305/NS/NINDS NIH HHS/ -- NS24247/NS/NINDS NIH HHS/ -- P01 AI039671/AI/NIAID NIH HHS/ -- P01 AI045757/AI/NIAID NIH HHS/ -- P30 DK063720/DK/NIDDK NIH HHS/ -- R01 NS024247/NS/NINDS NIH HHS/ -- R37 NS024247/NS/NINDS NIH HHS/ -- T32 GM007748/GM/NIGMS NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U19 AI046130/AI/NIAID NIH HHS/ -- U19 AI070352/AI/NIAID NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):337-43. doi: 10.1038/nature13835. Epub 2014 Oct 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Diabetes Center and Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, California 94143, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA [3] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA [4] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut 06511, USA. ; Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut 06511, 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. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] California Institute of Technology, 1200 E California Boulevard, Pasadena, California 91125, USA. ; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02142, USA [3] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02142, USA. ; Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25363779" target="_blank"〉PubMed〈/a〉
    Keywords: Autoimmune Diseases/*genetics/immunology/pathology ; Base Sequence ; Chromatin/genetics ; Consensus Sequence/genetics ; Enhancer Elements, Genetic/genetics ; Epigenesis, Genetic/*genetics ; Epigenomics ; Genome-Wide Association Study ; Humans ; Nucleotide Motifs ; Organ Specificity ; Polymorphism, Single Nucleotide/*genetics ; T-Lymphocytes/immunology/metabolism ; Transcription Factors/metabolism
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    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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  • 8
    Publication Date: 2013-08-09
    Description: DNA methylation is a defining feature of mammalian cellular identity and is essential for normal development. Most cell types, except germ cells and pre-implantation embryos, display relatively stable DNA methylation patterns, with 70-80% of all CpGs being methylated. Despite recent advances, we still have a limited understanding of when, where and how many CpGs participate in genomic regulation. Here we report the in-depth analysis of 42 whole-genome bisulphite sequencing data sets across 30 diverse human cell and tissue types. We observe dynamic regulation for only 21.8% of autosomal CpGs within a normal developmental context, most of which are distal to transcription start sites. These dynamic CpGs co-localize with gene regulatory elements, particularly enhancers and transcription-factor-binding sites, which allow identification of key lineage-specific regulators. In addition, differentially methylated regions (DMRs) often contain single nucleotide polymorphisms associated with cell-type-related diseases as determined by genome-wide association studies. The results also highlight the general inefficiency of whole-genome bisulphite sequencing, as 70-80% of the sequencing reads across these data sets provided little or no relevant information about CpG methylation. To demonstrate further the utility of our DMR set, we use it to classify unknown samples and identify representative signature regions that recapitulate major DNA methylation dynamics. In summary, although in theory every CpG can change its methylation state, our results suggest that only a fraction does so as part of coordinated regulatory programs. Therefore, our selected DMRs can serve as a starting point to guide new, more effective reduced representation approaches to capture the most informative fraction of CpGs, as well as further pinpoint putative regulatory elements.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821869/" 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/PMC3821869/" 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 -- Gu, Hongcang -- Muller, Fabian -- Donaghey, Julie -- Tsai, Linus T-Y -- Kohlbacher, Oliver -- De Jager, Philip L -- Rosen, Evan D -- Bennett, David A -- Bernstein, Bradley E -- Gnirke, Andreas -- Meissner, Alexander -- ES017690/ES/NIEHS NIH HHS/ -- P01 GM099117/GM/NIGMS NIH HHS/ -- P01GM099117/GM/NIGMS NIH HHS/ -- P30AG10161/AG/NIA NIH HHS/ -- R01 AG017917/AG/NIA NIH HHS/ -- R01AG15819/AG/NIA NIH HHS/ -- R01AG17917/AG/NIA NIH HHS/ -- R01AG36042/AG/NIA NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- England -- Nature. 2013 Aug 22;500(7463):477-81. doi: 10.1038/nature12433. Epub 2013 Aug 7.〈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/23925113" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; CpG Islands/genetics ; *DNA Methylation ; Enhancer Elements, Genetic/genetics ; Genome, Human/*genetics ; Genome-Wide Association Study ; Humans ; Organ Specificity ; Polymorphism, Single Nucleotide/genetics ; Sequence Analysis, DNA ; Sulfites/metabolism ; 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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  • 9
    Publication Date: 2012-07-24
    Description: The identification of somatic activating mutations in JAK2 (refs 1-4) and in the thrombopoietin receptor gene (MPL) in most patients with myeloproliferative neoplasm (MPN) led to the clinical development of JAK2 kinase inhibitors. JAK2 inhibitor therapy improves MPN-associated splenomegaly and systemic symptoms but does not significantly decrease or eliminate the MPN clone in most patients with MPN. We therefore sought to characterize mechanisms by which MPN cells persist despite chronic inhibition of JAK2. Here we show that JAK2 inhibitor persistence is associated with reactivation of JAK-STAT signalling and with heterodimerization between activated JAK2 and JAK1 or TYK2, consistent with activation of JAK2 in trans by other JAK kinases. Further, this phenomenon is reversible: JAK2 inhibitor withdrawal is associated with resensitization to JAK2 kinase inhibitors and with reversible changes in JAK2 expression. We saw increased JAK2 heterodimerization and sustained JAK2 activation in cell lines, in murine models and in patients treated with JAK2 inhibitors. RNA interference and pharmacological studies show that JAK2-inhibitor-persistent cells remain dependent on JAK2 protein expression. Consequently, therapies that result in JAK2 degradation retain efficacy in persistent cells and may provide additional benefit to patients with JAK2-dependent malignancies treated with JAK2 inhibitors.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991463/" 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/PMC3991463/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Koppikar, Priya -- Bhagwat, Neha -- Kilpivaara, Outi -- Manshouri, Taghi -- Adli, Mazhar -- Hricik, Todd -- Liu, Fan -- Saunders, Lindsay M -- Mullally, Ann -- Abdel-Wahab, Omar -- Leung, Laura -- Weinstein, Abby -- Marubayashi, Sachie -- Goel, Aviva -- Gonen, Mithat -- Estrov, Zeev -- Ebert, Benjamin L -- Chiosis, Gabriela -- Nimer, Stephen D -- Bernstein, Bradley E -- Verstovsek, Srdan -- Levine, Ross L -- 1R01CA151949-01/CA/NCI NIH HHS/ -- P30 CA016672/CA/NCI NIH HHS/ -- R01 CA151949/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Sep 6;489(7414):155-9. doi: 10.1038/nature11303.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22820254" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line ; Disease Models, Animal ; Drug Resistance, Neoplasm/drug effects ; Enzyme Activation/drug effects ; Gene Knockdown Techniques ; Granulocytes/drug effects/enzymology/metabolism ; HSP90 Heat-Shock Proteins/antagonists & inhibitors/metabolism ; Humans ; Janus Kinase 1/biosynthesis/deficiency/genetics/metabolism ; Janus Kinase 2/*antagonists & inhibitors/deficiency/genetics/*metabolism ; Mice ; Myeloproliferative Disorders/*drug therapy/enzymology/metabolism/pathology ; Phosphorylation ; Protein Biosynthesis ; *Protein Multimerization ; RNA Interference ; STAT Transcription Factors/*metabolism ; *Signal Transduction/drug effects ; TYK2 Kinase/biosynthesis/deficiency/genetics/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2014-08-29
    Description: Genome function is dynamically regulated in part by chromatin, which consists of the histones, non-histone proteins and RNA molecules that package DNA. Studies in Caenorhabditis elegans and Drosophila melanogaster have contributed substantially to our understanding of molecular mechanisms of genome function in humans, and have revealed conservation of chromatin components and mechanisms. Nevertheless, the three organisms have markedly different genome sizes, chromosome architecture and gene organization. On human and fly chromosomes, for example, pericentric heterochromatin flanks single centromeres, whereas worm chromosomes have dispersed heterochromatin-like regions enriched in the distal chromosomal 'arms', and centromeres distributed along their lengths. To systematically investigate chromatin organization and associated gene regulation across species, we generated and analysed a large collection of genome-wide chromatin data sets from cell lines and developmental stages in worm, fly and human. Here we present over 800 new data sets from our ENCODE and modENCODE consortia, bringing the total to over 1,400. Comparison of combinatorial patterns of histone modifications, nuclear lamina-associated domains, organization of large-scale topological domains, chromatin environment at promoters and enhancers, nucleosome positioning, and DNA replication patterns reveals many conserved features of chromatin organization among the three organisms. We also find notable differences in the composition and locations of repressive chromatin. These data sets and analyses provide a rich resource for comparative and species-specific investigations of chromatin composition, organization and function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227084/" 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/PMC4227084/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ho, Joshua W K -- Jung, Youngsook L -- Liu, Tao -- Alver, Burak H -- Lee, Soohyun -- Ikegami, Kohta -- Sohn, Kyung-Ah -- Minoda, Aki -- Tolstorukov, Michael Y -- Appert, Alex -- Parker, Stephen C J -- Gu, Tingting -- Kundaje, Anshul -- Riddle, Nicole C -- Bishop, Eric -- Egelhofer, Thea A -- Hu, Sheng'en Shawn -- Alekseyenko, Artyom A -- Rechtsteiner, Andreas -- Asker, Dalal -- Belsky, Jason A -- Bowman, Sarah K -- Chen, Q Brent -- Chen, Ron A-J -- Day, Daniel S -- Dong, Yan -- Dose, Andrea C -- Duan, Xikun -- Epstein, Charles B -- Ercan, Sevinc -- Feingold, Elise A -- Ferrari, Francesco -- Garrigues, Jacob M -- Gehlenborg, Nils -- Good, Peter J -- Haseley, Psalm -- He, Daniel -- Herrmann, Moritz -- Hoffman, Michael M -- Jeffers, Tess E -- Kharchenko, Peter V -- Kolasinska-Zwierz, Paulina -- Kotwaliwale, Chitra V -- Kumar, Nischay -- Langley, Sasha A -- Larschan, Erica N -- Latorre, Isabel -- Libbrecht, Maxwell W -- Lin, Xueqiu -- Park, Richard -- Pazin, Michael J -- Pham, Hoang N -- Plachetka, Annette -- Qin, Bo -- Schwartz, Yuri B -- Shoresh, Noam -- Stempor, Przemyslaw -- Vielle, Anne -- Wang, Chengyang -- Whittle, Christina M -- Xue, Huiling -- Kingston, Robert E -- Kim, Ju Han -- Bernstein, Bradley E -- Dernburg, Abby F -- Pirrotta, Vincenzo -- Kuroda, Mitzi I -- Noble, William S -- Tullius, Thomas D -- Kellis, Manolis -- MacAlpine, David M -- Strome, Susan -- Elgin, Sarah C R -- Liu, Xiaole Shirley -- Lieb, Jason D -- Ahringer, Julie -- Karpen, Gary H -- Park, Peter J -- 092096/Wellcome Trust/United Kingdom -- 101863/Wellcome Trust/United Kingdom -- 54523/Wellcome Trust/United Kingdom -- 5RL9EB008539/EB/NIBIB NIH HHS/ -- K99 HG006259/HG/NHGRI NIH HHS/ -- K99HG006259/HG/NHGRI NIH HHS/ -- R01 GM098461/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R37 GM048405/GM/NIGMS NIH HHS/ -- T32 GM071340/GM/NIGMS NIH HHS/ -- T32 HG002295/HG/NHGRI NIH HHS/ -- U01 HG004258/HG/NHGRI NIH HHS/ -- U01 HG004270/HG/NHGRI NIH HHS/ -- U01 HG004279/HG/NHGRI NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U01HG004270/HG/NHGRI NIH HHS/ -- U01HG004279/HG/NHGRI NIH HHS/ -- U01HG004695/HG/NHGRI NIH HHS/ -- U54 CA121852/CA/NCI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- U54CA121852/CA/NCI NIH HHS/ -- U54HG004570/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):449-52. doi: 10.1038/nature13415.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] [4] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3]. ; 1] Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] [4] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA [2] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Department of Information and Computer Engineering, Ajou University, Suwon 443-749, Korea [2] Systems Biomedical Informatics Research Center, College of Medicine, Seoul National University, Seoul 110-799, Korea. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [3] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK. ; 1] National Institute of General Medical Sciences, National Institutes of Health, Bethesda, Maryland 20892, USA [2] National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA [3] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA [2] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA. ; Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA. ; Department of Bioinformatics, School of Life Science and Technology, Tongji University, Shanghai 200092, China. ; 1] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA [2] Food Science and Technology Department, Faculty of Agriculture, Alexandria University, 21545 El-Shatby, Alexandria, Egypt. ; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA. ; Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Harvard/MIT Division of Health Sciences and Technology, Cambridge, Massachusetts 02139, USA. ; Department of Anatomy Physiology and Cell Biology, University of California Davis, Davis, California 95616, USA. ; Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA [2] Department of Biology, Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA. ; Princess Margaret Cancer Centre, Toronto, Ontario M6G 1L7, Canada. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA. ; Department of Molecular Biology, Cellular Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA. ; Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [3] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. ; 1] Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA [2] Department of Molecular Biology, Umea University, 901 87 Umea, Sweden. ; 1] Systems Biomedical Informatics Research Center, College of Medicine, Seoul National University, Seoul 110-799, Korea [2] Seoul National University Biomedical Informatics, Division of Biomedical Informatics, College of Medicine, Seoul National University, Seoul 110-799, Korea. ; 1] Broad Institute, Cambridge, Massachusetts 02141, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA [3] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA. ; 1] Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA [2] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; 1] Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA [2] Department of Chemistry, Boston University, Boston, Massachusetts 02215, USA. ; 1] Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Informatics Program, Children's Hospital, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164756" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*cytology/*genetics ; Cell Line ; Centromere/genetics/metabolism ; Chromatin/chemistry/*genetics/*metabolism ; Chromatin Assembly and Disassembly/genetics ; DNA Replication/genetics ; Drosophila melanogaster/*cytology/*genetics ; Enhancer Elements, Genetic/genetics ; Epigenesis, Genetic ; Heterochromatin/chemistry/genetics/metabolism ; Histones/chemistry/metabolism ; Humans ; Molecular Sequence Annotation ; Nuclear Lamina/metabolism ; Nucleosomes/chemistry/genetics/metabolism ; Promoter Regions, Genetic/genetics ; Species Specificity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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