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dc.contributor.authorKheradpour, Pouya
dc.contributor.authorKundaje, Anshul
dc.contributor.authorWu, Yi-Chieh
dc.contributor.authorKellis, Manolis
dc.date.accessioned2016-01-08T01:47:46Z
dc.date.available2016-01-08T01:47:46Z
dc.date.issued2014-08
dc.date.submitted2013-11
dc.identifier.issn0028-0836
dc.identifier.issn1476-4687
dc.identifier.urihttp://hdl.handle.net/1721.1/100768
dc.description.abstractDespite 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.en_US
dc.language.isoen_US
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nature13668en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleComparative analysis of regulatory information and circuits across distant speciesen_US
dc.typeArticleen_US
dc.identifier.citationBoyle, Alan P., Carlos L. Araya, Cathleen Brdlik, Philip Cayting, Chao Cheng, Yong Cheng, Kathryn Gardner, et al. “Comparative Analysis of Regulatory Information and Circuits Across Distant Species.” Nature 512, no. 7515 (August 27, 2014): 453–456.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorKheradpour, Pouyaen_US
dc.contributor.mitauthorKundaje, Anshulen_US
dc.contributor.mitauthorWu, Yi-Chiehen_US
dc.contributor.mitauthorKellis, Manolisen_US
dc.relation.journalNatureen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsBoyle, 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, Michaelen_US
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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