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  • 1
    Publication Date: 2014-08-29
    Description: Despite the large evolutionary distances between metazoan species, they can show remarkable commonalities in their biology, and this has helped to establish fly and worm as model organisms for human biology. Although studies of individual elements and factors have explored similarities in gene regulation, a large-scale comparative analysis of basic principles of transcriptional regulatory features is lacking. Here we map the genome-wide binding locations of 165 human, 93 worm and 52 fly transcription regulatory factors, generating a total of 1,019 data sets from diverse cell types, developmental stages, or conditions in the three species, of which 498 (48.9%) are presented here for the first time. We find that structural properties of regulatory networks are remarkably conserved and that orthologous regulatory factor families recognize similar binding motifs in vivo and show some similar co-associations. Our results suggest that gene-regulatory properties previously observed for individual factors are general principles of metazoan regulation that are remarkably well-preserved despite extensive functional divergence of individual network connections. The comparative maps of regulatory circuitry provided here will drive an improved understanding of the regulatory underpinnings of model organism biology and how these relate to human biology, development and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336544/" 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/PMC4336544/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Boyle, Alan P -- Araya, Carlos L -- Brdlik, Cathleen -- Cayting, Philip -- Cheng, Chao -- Cheng, Yong -- Gardner, Kathryn -- Hillier, LaDeana W -- Janette, Judith -- Jiang, Lixia -- Kasper, Dionna -- Kawli, Trupti -- Kheradpour, Pouya -- Kundaje, Anshul -- Li, Jingyi Jessica -- Ma, Lijia -- Niu, Wei -- Rehm, E Jay -- Rozowsky, Joel -- Slattery, Matthew -- Spokony, Rebecca -- Terrell, Robert -- Vafeados, Dionne -- Wang, Daifeng -- Weisdepp, Peter -- Wu, Yi-Chieh -- Xie, Dan -- Yan, Koon-Kiu -- Feingold, Elise A -- Good, Peter J -- Pazin, Michael J -- Huang, Haiyan -- Bickel, Peter J -- Brenner, Steven E -- Reinke, Valerie -- Waterston, Robert H -- Gerstein, Mark -- White, Kevin P -- Kellis, Manolis -- Snyder, Michael -- F32GM101778/GM/NIGMS NIH HHS/ -- P50GM081892/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- RC2HG005679/HG/NHGRI NIH HHS/ -- U01 HG004267/HG/NHGRI NIH HHS/ -- U01HG004264/HG/NHGRI NIH HHS/ -- U01HG004267/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- U54 HG006996/HG/NHGRI NIH HHS/ -- U54HG004558/HG/NHGRI NIH HHS/ -- U54HG006996/HG/NHGRI NIH HHS/ -- UL1 TR000430/TR/NCATS NIH HHS/ -- England -- Nature. 2014 Aug 28;512(7515):453-6. doi: 10.1038/nature13668.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2]. ; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. ; Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Department of Computer Science, Stanford University, Stanford, California 94305, USA [2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Department of Statistics, University of California, Berkeley, California 94720, USA [2] Department of Statistics, University of California, Los Angeles, California 90095, USA. ; Institute for Genomics and Systems Biology, University of Chicago, Chicago, Ilinois 60637, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA. ; Department of Statistics, University of California, Berkeley, California 94720, USA. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [2] Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164757" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Caenorhabditis elegans/*genetics/growth & development ; Chromatin Immunoprecipitation ; Conserved Sequence/genetics ; Drosophila melanogaster/*genetics/growth & development ; *Evolution, Molecular ; Gene Expression Regulation/*genetics ; Gene Expression Regulation, Developmental/genetics ; Gene Regulatory Networks/*genetics ; Genome/genetics ; Humans ; Molecular Sequence Annotation ; Nucleotide Motifs/genetics ; Organ Specificity/genetics ; Transcription Factors/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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  • 2
    Publication Date: 2014-08-29
    Description: Discovering the structure and dynamics of transcriptional regulatory events in the genome with cellular and temporal resolution is crucial to understanding the regulatory underpinnings of development and disease. We determined the genomic distribution of binding sites for 92 transcription factors and regulatory proteins across multiple stages of Caenorhabditis elegans development by performing 241 ChIP-seq (chromatin immunoprecipitation followed by sequencing) experiments. Integration of regulatory binding and cellular-resolution expression data produced a spatiotemporally resolved metazoan transcription factor binding map. Using this map, we explore developmental regulatory circuits that encode combinatorial logic at the levels of co-binding and co-expression of transcription factors, characterizing the genomic coverage and clustering of regulatory binding, the binding preferences of, and biological processes regulated by, transcription factors, the global transcription factor co-associations and genomic subdomains that suggest shared patterns of regulation, and identifying key transcription factors and transcription factor co-associations for fate specification of individual lineages and cell types.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530805/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530805/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Araya, Carlos L -- Kawli, Trupti -- Kundaje, Anshul -- Jiang, Lixia -- Wu, Beijing -- Vafeados, Dionne -- Terrell, Robert -- Weissdepp, Peter -- Gevirtzman, Louis -- Mace, Daniel -- Niu, Wei -- Boyle, Alan P -- Xie, Dan -- Ma, Lijia -- Murray, John I -- Reinke, Valerie -- Waterston, Robert H -- Snyder, Michael -- R01 GM072675/GM/NIGMS NIH HHS/ -- U01 HG004267/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Aug 28;512(7515):400-5. doi: 10.1038/nature13497.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. ; Department of Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520, USA. ; Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois 60637, USA. ; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164749" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Caenorhabditis elegans/cytology/embryology/*genetics/*growth & development ; Caenorhabditis elegans Proteins/metabolism ; Cell Lineage ; Chromatin Immunoprecipitation ; Gene Expression Regulation, Developmental/*genetics ; Genome, Helminth/*genetics ; Genomics ; Larva/cytology/genetics/growth & development/metabolism ; Protein Binding ; *Spatio-Temporal Analysis ; Transcription Factors/*metabolism
    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: 2010-12-24
    Description: We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142569/" 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/PMC3142569/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Lu, Zhi John -- Van Nostrand, Eric L -- Cheng, Chao -- Arshinoff, Bradley I -- Liu, Tao -- Yip, Kevin Y -- Robilotto, Rebecca -- Rechtsteiner, Andreas -- Ikegami, Kohta -- Alves, Pedro -- Chateigner, Aurelien -- Perry, Marc -- Morris, Mitzi -- Auerbach, Raymond K -- Feng, Xin -- Leng, Jing -- Vielle, Anne -- Niu, Wei -- Rhrissorrakrai, Kahn -- Agarwal, Ashish -- Alexander, Roger P -- Barber, Galt -- Brdlik, Cathleen M -- Brennan, Jennifer -- Brouillet, Jeremy Jean -- Carr, Adrian -- Cheung, Ming-Sin -- Clawson, Hiram -- Contrino, Sergio -- Dannenberg, Luke O -- Dernburg, Abby F -- Desai, Arshad -- Dick, Lindsay -- Dose, Andrea C -- Du, Jiang -- Egelhofer, Thea -- Ercan, Sevinc -- Euskirchen, Ghia -- Ewing, Brent -- Feingold, Elise A -- Gassmann, Reto -- Good, Peter J -- Green, Phil -- Gullier, Francois -- Gutwein, Michelle -- Guyer, Mark S -- Habegger, Lukas -- Han, Ting -- Henikoff, Jorja G -- Henz, Stefan R -- Hinrichs, Angie -- Holster, Heather -- Hyman, Tony -- Iniguez, A Leo -- Janette, Judith -- Jensen, Morten -- Kato, Masaomi -- Kent, W James -- Kephart, Ellen -- Khivansara, Vishal -- Khurana, Ekta -- Kim, John K -- Kolasinska-Zwierz, Paulina -- Lai, Eric C -- Latorre, Isabel -- Leahey, Amber -- Lewis, Suzanna -- Lloyd, Paul -- Lochovsky, Lucas -- Lowdon, Rebecca F -- Lubling, Yaniv -- Lyne, Rachel -- MacCoss, Michael -- Mackowiak, Sebastian D -- Mangone, Marco -- McKay, Sheldon -- Mecenas, Desirea -- Merrihew, Gennifer -- Miller, David M 3rd -- Muroyama, Andrew -- Murray, John I -- Ooi, Siew-Loon -- Pham, Hoang -- Phippen, Taryn -- Preston, Elicia A -- Rajewsky, Nikolaus -- Ratsch, Gunnar -- Rosenbaum, Heidi -- Rozowsky, Joel -- Rutherford, Kim -- Ruzanov, Peter -- Sarov, Mihail -- Sasidharan, Rajkumar -- Sboner, Andrea -- Scheid, Paul -- Segal, Eran -- Shin, Hyunjin -- Shou, Chong -- Slack, Frank J -- Slightam, Cindie -- Smith, Richard -- Spencer, William C -- Stinson, E O -- Taing, Scott -- Takasaki, Teruaki -- Vafeados, Dionne -- Voronina, Ksenia -- Wang, Guilin -- Washington, Nicole L -- Whittle, Christina M -- Wu, Beijing -- Yan, Koon-Kiu -- Zeller, Georg -- Zha, Zheng -- Zhong, Mei -- Zhou, Xingliang -- modENCODE Consortium -- Ahringer, Julie -- Strome, Susan -- Gunsalus, Kristin C -- Micklem, Gos -- Liu, X Shirley -- Reinke, Valerie -- Kim, Stuart K -- Hillier, LaDeana W -- Henikoff, Steven -- Piano, Fabio -- Snyder, Michael -- Stein, Lincoln -- Lieb, Jason D -- Waterston, Robert H -- 054523/Wellcome Trust/United Kingdom -- R01 GM088565/GM/NIGMS NIH HHS/ -- R01 GM088565-03/GM/NIGMS NIH HHS/ -- R01GM088565/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2010 Dec 24;330(6012):1775-87. doi: 10.1126/science.1196914. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA. modencode.worm.pi@gersteinlab.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21177976" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*genetics/growth & development/metabolism ; Caenorhabditis elegans Proteins/genetics/metabolism ; Chromatin/genetics/metabolism/ultrastructure ; *Chromosomes/genetics/metabolism/ultrastructure ; Computational Biology/methods ; Conserved Sequence ; Evolution, Molecular ; *Gene Expression Profiling ; *Gene Expression Regulation ; Gene Regulatory Networks ; Genes, Helminth ; *Genome, Helminth ; Genomics/methods ; Histones/metabolism ; Models, Genetic ; *Molecular Sequence Annotation ; RNA, Helminth/genetics/metabolism ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid ; Transcription Factors/genetics/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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  • 4
    Publication Date: 2015-11-13
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Araya, Carlos L -- Kawli, Trupti -- Kundaje, Anshul -- Jiang, Lixia -- Wu, Beijing -- Vafeados, Dionne -- Terrell, Robert -- Weissdepp, Peter -- Gevirtzman, Louis -- Mace, Daniel -- Niu, Wei -- Boyle, Alan P -- Xie, Dan -- Ma, Lijia -- Murray, John I -- Reinke, Valerie -- Waterston, Robert H -- Snyder, Michael -- England -- Nature. 2015 Dec 3;528(7580):152. doi: 10.1038/nature16075. Epub 2015 Nov 11.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26560031" target="_blank"〉PubMed〈/a〉
    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: 2014-08-29
    Description: The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a 'universal model' based on a single set of organism-independent parameters.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155737/" 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/PMC4155737/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Rozowsky, Joel -- Yan, Koon-Kiu -- Wang, Daifeng -- Cheng, Chao -- Brown, James B -- Davis, Carrie A -- Hillier, LaDeana -- Sisu, Cristina -- Li, Jingyi Jessica -- Pei, Baikang -- Harmanci, Arif O -- Duff, Michael O -- Djebali, Sarah -- Alexander, Roger P -- Alver, Burak H -- Auerbach, Raymond -- Bell, Kimberly -- Bickel, Peter J -- Boeck, Max E -- Boley, Nathan P -- Booth, Benjamin W -- Cherbas, Lucy -- Cherbas, Peter -- Di, Chao -- Dobin, Alex -- Drenkow, Jorg -- Ewing, Brent -- Fang, Gang -- Fastuca, Megan -- Feingold, Elise A -- Frankish, Adam -- Gao, Guanjun -- Good, Peter J -- Guigo, Roderic -- Hammonds, Ann -- Harrow, Jen -- Hoskins, Roger A -- Howald, Cedric -- Hu, Long -- Huang, Haiyan -- Hubbard, Tim J P -- Huynh, Chau -- Jha, Sonali -- Kasper, Dionna -- Kato, Masaomi -- Kaufman, Thomas C -- Kitchen, Robert R -- Ladewig, Erik -- Lagarde, Julien -- Lai, Eric -- Leng, Jing -- Lu, Zhi -- MacCoss, Michael -- May, Gemma -- McWhirter, Rebecca -- Merrihew, Gennifer -- Miller, David M -- Mortazavi, Ali -- Murad, Rabi -- Oliver, Brian -- Olson, Sara -- Park, Peter J -- Pazin, Michael J -- Perrimon, Norbert -- Pervouchine, Dmitri -- Reinke, Valerie -- Reymond, Alexandre -- Robinson, Garrett -- Samsonova, Anastasia -- Saunders, Gary I -- Schlesinger, Felix -- Sethi, Anurag -- Slack, Frank J -- Spencer, William C -- Stoiber, Marcus H -- Strasbourger, Pnina -- Tanzer, Andrea -- Thompson, Owen A -- Wan, Kenneth H -- Wang, Guilin -- Wang, Huaien -- Watkins, Kathie L -- Wen, Jiayu -- Wen, Kejia -- Xue, Chenghai -- Yang, Li -- Yip, Kevin -- Zaleski, Chris -- Zhang, Yan -- Zheng, Henry -- Brenner, Steven E -- Graveley, Brenton R -- Celniker, Susan E -- Gingeras, Thomas R -- Waterston, Robert -- 1U01HG007031-01/HG/NHGRI NIH HHS/ -- 5U01HG004695-04/HG/NHGRI NIH HHS/ -- 5U54HG004555/HG/NHGRI NIH HHS/ -- HG007000/HG/NHGRI NIH HHS/ -- HG007355/HG/NHGRI NIH HHS/ -- K99 HG006698/HG/NHGRI NIH HHS/ -- P30 CA045508/CA/NCI NIH HHS/ -- R01 GM076655/GM/NIGMS NIH HHS/ -- RC2-HG005639/HG/NHGRI NIH HHS/ -- T15 LM007056/LM/NLM NIH HHS/ -- T32 HD060555/HD/NICHD NIH HHS/ -- U01 HG 004263/HG/NHGRI NIH HHS/ -- U01 HG004261/HG/NHGRI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG007031/HG/NHGRI NIH HHS/ -- U01-HG004261/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U41 HG007000/HG/NHGRI NIH HHS/ -- U41 HG007234/HG/NHGRI NIH HHS/ -- U41 HG007355/HG/NHGRI NIH HHS/ -- U54 HG004555/HG/NHGRI NIH HHS/ -- U54 HG006944/HG/NHGRI NIH HHS/ -- U54 HG006994/HG/NHGRI NIH HHS/ -- U54 HG007004/HG/NHGRI NIH HHS/ -- U54 HG007005/HG/NHGRI NIH HHS/ -- U54HG007005/HG/NHGRI NIH HHS/ -- WT098051/Wellcome Trust/United Kingdom -- ZIA DK015600-18/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):445-8. doi: 10.1038/nature13424.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3] Department of Computer Science, Yale University, 51 Prospect Street, New Haven, Connecticut 06511, USA [4] [5]. ; 1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3]. ; 1] Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755, USA [2] Institute for Quantitative Biomedical Sciences, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire 03766, USA [3]. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA [3]. ; 1] Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA [2]. ; 1] Department of Genome Sciences and University of Washington School of Medicine, William H. Foege Building S350D, 1705 Northeast Pacific Street, Box 355065 Seattle, Washington 98195-5065, USA [2]. ; 1] Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA [2] Department of Statistics, University of California, Los Angeles, California 90095-1554, USA [3] Department of Human Genetics, University of California, Los Angeles, California 90095-7088, USA [4]. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2]. ; 1] Centre for Genomic Regulation, Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain [2] Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain [3]. ; 1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; Center for Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, Massachusetts 02115, USA. ; Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA. ; Department of Genome Sciences and University of Washington School of Medicine, William H. Foege Building S350D, 1705 Northeast Pacific Street, Box 355065 Seattle, Washington 98195-5065, USA. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] Department of Biostatistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA. ; Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; 1] Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA [2] Center for Genomics and Bioinformatics, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA. ; MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China. ; National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ; 1] Centre for Genomic Regulation, Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain [2] Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain. ; 1] Center for Integrative Genomics, University of Lausanne, Genopode building, Lausanne 1015, Switzerland [2] Swiss Institute of Bioinformatics, Genopode building, Lausanne 1015, Switzerland. ; 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Medical and Molecular Genetics, King's College London, London WC2R 2LS, UK. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520-8005, USA. ; Department of Molecular, Cellular and Developmental Biology, PO Box 208103, Yale University, New Haven, Connecticut 06520, USA. ; Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA. ; Sloan-Kettering Institute, 1275 York Avenue, Box 252, New York, New York 10065, USA. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2] Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 USA. ; Department of Cell and Developmental Biology, Vanderbilt University, 465 21st Avenue South, Nashville, Tennessee 37232-8240, USA. ; 1] Developmental and Cell Biology, University of California, Irvine, California 92697, USA [2] Center for Complex Biological Systems, University of California, Irvine, California 92697, USA. ; Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA. ; 1] Department of Genetics and Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA [2] Howard Hughes Medical Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA. ; Center for Integrative Genomics, University of Lausanne, Genopode building, Lausanne 1015, Switzerland. ; 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK. ; 1] Bioinformatics and Genomics Programme, Center for Genomic Regulation, Universitat Pompeu Fabra (CRG-UPF), 08003 Barcelona, Catalonia, Spain [2] Institute for Theoretical Chemistry, Theoretical Biochemistry Group (TBI), University of Vienna, Wahringerstrasse 17/3/303, A-1090 Vienna, Austria. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2] Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. ; 1] Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong [2] 5 CUHK-BGI Innovation Institute of Trans-omics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [2] Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA [3]. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164755" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/embryology/*genetics/growth & development ; Chromatin/genetics ; Cluster Analysis ; Drosophila melanogaster/*genetics/growth & development ; *Gene Expression Profiling ; Gene Expression Regulation, Developmental/genetics ; Histones/metabolism ; Humans ; Larva/genetics/growth & development ; Models, Genetic ; Molecular Sequence Annotation ; Promoter Regions, Genetic/genetics ; Pupa/genetics/growth & development ; RNA, Untranslated/genetics ; Sequence Analysis, RNA ; Transcriptome/*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: 2001-01-02
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 7
    Publication Date: 2006-12-22
    Print ISSN: 1350-9047
    Electronic ISSN: 1476-5403
    Topics: Biology , Medicine
    Published by Springer Nature
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  • 8
    Publication Date: 2011-07-18
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 9
    Publication Date: 2011-08-03
    Description: Regulation of histone methylation levels has long been implicated in multiple cellular processes, many of which involve transcription. Here, however, we report a unique role for the Caenorhabditis elegans histone demethylase SPR-5 in meiotic DNA double-strand break repair (DSBR). SPR-5 shows enzymatic activity toward H3K4me2 both in vitro and in the nematode germline, and spr-5 mutants show several phenotypes indicating a perturbation of DSBR, including increased p53-dependent germ cell apoptosis, increased levels of the DSBR marker RAD-51, and sensitivity toward DSB-inducing treatments. spr-5 mutants show no transcriptional misregulation of known DSBR involved genes. Instead, SPR-5 shows a rapid subcellular relocalization upon DSB-inducing treatment, which suggests that SPR-5 may function directly in DSBR.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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