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  • 1
    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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  • 2
    Publication Date: 2010-12-24
    Description: To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3192495/" 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/PMC3192495/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉modENCODE Consortium -- Roy, Sushmita -- Ernst, Jason -- Kharchenko, Peter V -- Kheradpour, Pouya -- Negre, Nicolas -- Eaton, Matthew L -- Landolin, Jane M -- Bristow, Christopher A -- Ma, Lijia -- Lin, Michael F -- Washietl, Stefan -- Arshinoff, Bradley I -- Ay, Ferhat -- Meyer, Patrick E -- Robine, Nicolas -- Washington, Nicole L -- Di Stefano, Luisa -- Berezikov, Eugene -- Brown, Christopher D -- Candeias, Rogerio -- Carlson, Joseph W -- Carr, Adrian -- Jungreis, Irwin -- Marbach, Daniel -- Sealfon, Rachel -- Tolstorukov, Michael Y -- Will, Sebastian -- Alekseyenko, Artyom A -- Artieri, Carlo -- Booth, Benjamin W -- Brooks, Angela N -- Dai, Qi -- Davis, Carrie A -- Duff, Michael O -- Feng, Xin -- Gorchakov, Andrey A -- Gu, Tingting -- Henikoff, Jorja G -- Kapranov, Philipp -- Li, Renhua -- MacAlpine, Heather K -- Malone, John -- Minoda, Aki -- Nordman, Jared -- Okamura, Katsutomo -- Perry, Marc -- Powell, Sara K -- Riddle, Nicole C -- Sakai, Akiko -- Samsonova, Anastasia -- Sandler, Jeremy E -- Schwartz, Yuri B -- Sher, Noa -- Spokony, Rebecca -- Sturgill, David -- van Baren, Marijke -- Wan, Kenneth H -- Yang, Li -- Yu, Charles -- Feingold, Elise -- Good, Peter -- Guyer, Mark -- Lowdon, Rebecca -- Ahmad, Kami -- Andrews, Justen -- Berger, Bonnie -- Brenner, Steven E -- Brent, Michael R -- Cherbas, Lucy -- Elgin, Sarah C R -- Gingeras, Thomas R -- Grossman, Robert -- Hoskins, Roger A -- Kaufman, Thomas C -- Kent, William -- Kuroda, Mitzi I -- Orr-Weaver, Terry -- Perrimon, Norbert -- Pirrotta, Vincenzo -- Posakony, James W -- Ren, Bing -- Russell, Steven -- Cherbas, Peter -- Graveley, Brenton R -- Lewis, Suzanna -- Micklem, Gos -- Oliver, Brian -- Park, Peter J -- Celniker, Susan E -- Henikoff, Steven -- Karpen, Gary H -- Lai, Eric C -- MacAlpine, David M -- Stein, Lincoln D -- White, Kevin P -- Kellis, Manolis -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC2HG005639/HG/NHGRI NIH HHS/ -- U01 HG004258/HG/NHGRI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG004279/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U01HG004261/HG/NHGRI NIH HHS/ -- U01HG004264/HG/NHGRI NIH HHS/ -- U01HG004271/HG/NHGRI NIH HHS/ -- U01HG004274/HG/NHGRI NIH HHS/ -- U01HG004279/HG/NHGRI NIH HHS/ -- U41HG004269/HG/NHGRI NIH HHS/ -- ZIA DK015600-14/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2010 Dec 24;330(6012):1787-97. doi: 10.1126/science.1198374. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21177974" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; *Chromatin/genetics/metabolism ; Computational Biology/methods ; Drosophila Proteins/genetics/metabolism ; Drosophila melanogaster/*genetics/growth & development/metabolism ; Epigenesis, Genetic ; Gene Expression Regulation ; *Gene Regulatory Networks ; Genes, Insect ; *Genome, Insect ; Genomics/methods ; Histones/metabolism ; *Molecular Sequence Annotation ; Nucleosomes/genetics/metabolism ; Promoter Regions, Genetic ; RNA, Small Untranslated/genetics/metabolism ; Transcription Factors/metabolism ; Transcription, Genetic
    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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