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Embryonic stem cell-based mapping of developmental transcriptional programs

dc.contributor.authorMazzoni, Esteban O.
dc.contributor.authorMahony, Shaun
dc.contributor.authorIacovino, Michelina
dc.contributor.authorMorrison, Carolyn A.
dc.contributor.authorMountoufaris, George
dc.contributor.authorClosser, Michael
dc.contributor.authorWhyte, Warren Anthony
dc.contributor.authorYoung, Richard A.
dc.contributor.authorKyba, Michael
dc.contributor.authorWichterle, Hynek
dc.contributor.authorGifford, David K
dc.date.accessioned2012-09-19T15:24:48Z
dc.date.available2012-09-19T15:24:48Z
dc.date.issued2011-11
dc.date.submitted2011-06
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/73041
dc.description.abstractThe study of developmentally regulated transcription factors by chromatin immunoprecipitation and deep sequencing (ChIP-seq) faces two major obstacles: availability of ChIP-grade antibodies and access to sufficient number of cells. We describe versatile genome-wide analysis of transcription-factor binding sites by combining directed differentiation of embryonic stem cells and inducible expression of tagged proteins. We demonstrate its utility by mapping DNA-binding sites of transcription factors involved in motor neuron specification.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant number P01 NS055923)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.1775en_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.rights.urien_US
dc.sourcePubMed Centralen_US
dc.titleEmbryonic stem cell-based mapping of developmental transcriptional programsen_US
dc.typeArticleen_US
dc.identifier.citationMazzoni, Esteban O et al. “Embryonic Stem Cell–based Mapping of Developmental Transcriptional Programs.” Nature Methods 8.12 (2011): 1056–1058.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentWhitehead Institute for Biomedical Researchen_US
dc.contributor.mitauthorMahony, Shaun
dc.contributor.mitauthorWhyte, Warren Anthony
dc.contributor.mitauthorYoung, Richard A.
dc.contributor.mitauthorGifford, David K.
dc.relation.journalNature Methodsen_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.orderedauthorsMazzoni, Esteban O; Mahony, Shaun; Iacovino, Michelina; Morrison, Carolyn A; Mountoufaris, George; Closser, Michael; Whyte, Warren A; Young, Richard A; Kyba, Michael; Gifford, David K; Wichterle, Hyneken
dc.identifier.orcidhttps://orcid.org/0000-0001-8855-8647
dc.identifier.orcidhttps://orcid.org/0000-0003-1709-4034
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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