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dc.contributor.authorErnst, Jason
dc.contributor.authorMelnikov, Alexandre
dc.contributor.authorZhang, Xiaolan
dc.contributor.authorWang, Li
dc.contributor.authorRogov, Peter L
dc.contributor.authorMikkelsen, Tarjei
dc.contributor.authorKellis, Manolis
dc.date.accessioned2017-09-01T14:17:57Z
dc.date.available2017-09-01T14:17:57Z
dc.date.issued2016-10
dc.date.submitted2015-10
dc.identifier.issn1087-0156
dc.identifier.issn1546-1696
dc.identifier.urihttp://hdl.handle.net/1721.1/111103
dc.description.abstractMassively parallel reporter assays (MPRAs) enable nucleotide-resolution dissection of transcriptional regulatory regions, such as enhancers, but only few regions at a time. Here we present a combined experimental and computational approach, Systematic high-resolution activation and repression profiling with reporter tiling using MPRA (Sharpr-MPRA), that allows high-resolution analysis of thousands of regions simultaneously. Sharpr-MPRA combines dense tiling of overlapping MPRA constructs with a probabilistic graphical model to recognize functional regulatory nucleotides, and to distinguish activating and repressive nucleotides, using their inferred contribution to reporter gene expression. We used Sharpr-MPRA to test 4.6 million nucleotides spanning 15,000 putative regulatory regions tiled at 5-nucleotide resolution in two human cell types. Our results recovered known cell-type-specific regulatory motifs and evolutionarily conserved nucleotides, and distinguished known activating and repressive motifs. Our results also showed that endogenous chromatin state and DNA accessibility are both predictive of regulatory function in reporter assays, identified retroviral elements with activating roles, and uncovered 'attenuator' motifs with repressive roles in active chromatin.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01HG006785)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01GM113708)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U01HG007610)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01HG004037)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U54HG006991)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U41HG007000)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nbt.3678en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleGenome-scale high-resolution mapping of activating and repressive nucleotides in regulatory regionsen_US
dc.typeArticleen_US
dc.identifier.citationErnst, Jason, et al. “Genome-Scale High-Resolution Mapping of Activating and Repressive Nucleotides in Regulatory Regions.” Nature Biotechnology 34, 11 (October 2016): 1180–1190 © 2016 Nature America, Incen_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_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.mitauthorMelnikov, Alexandre
dc.contributor.mitauthorZhang, Xiaolan
dc.contributor.mitauthorWang, Li
dc.contributor.mitauthorRogov, Peter L
dc.contributor.mitauthorMikkelsen, Tarjei
dc.contributor.mitauthorKellis, Manolis
dc.relation.journalNature Biotechnologyen_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.orderedauthorsErnst, Jason; Melnikov, Alexandre; Zhang, Xiaolan; Wang, Li; Rogov, Peter; Mikkelsen, Tarjei S; Kellis, Manolisen_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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