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Zebrafish promoter microarrays identify actively transcribed embryonic genes

dc.contributor.authorWardle, Fiona C
dc.contributor.authorOdom, Duncan
dc.contributor.authorBell, George W.
dc.contributor.authorWiellette, Elizabeth L
dc.contributor.authorHerbolsheimer, Elizabeth
dc.contributor.authorSmith, James C
dc.contributor.authorYuan, Bingbing B.
dc.contributor.authorSive, Hazel L.
dc.contributor.authorDanford, Timothy William
dc.contributor.authorYoung, Richard A.
dc.date.accessioned2010-10-05T20:08:23Z
dc.date.available2010-10-05T20:08:23Z
dc.date.issued2006-08
dc.date.submitted2006-04
dc.identifier.issn1474-760X
dc.identifier.issn1465-6914
dc.identifier.issn1465-6906
dc.identifier.urihttp://hdl.handle.net/1721.1/58880
dc.description.abstractWe have designed a zebrafish genomic microarray to identify DNA-protein interactions in the proximal promoter regions of over 11,000 zebrafish genes. Using these microarrays, together with chromatin immunoprecipitation with an antibody directed against tri-methylated lysine 4 of Histone H3, we demonstrate the feasibility of this method in zebrafish. This approach will allow investigators to determine the genomic binding locations of DNA interacting proteins during development and expedite the assembly of the genetic networks that regulate embryogenesis.en_US
dc.description.sponsorshipWellcome Trusten_US
dc.description.sponsorshipEuropean Molecular Biology Organizationen_US
dc.description.sponsorshipNational Institutes of Health (Grant HG002668) (Grant DK070813) (Grant 2RO1 HD33472) (Grant 5RO1 MH59942)en_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/gb-2006-7-8-r71en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Central Ltden_US
dc.titleZebrafish promoter microarrays identify actively transcribed embryonic genesen_US
dc.typeArticleen_US
dc.identifier.citationGenome Biology. 2006 Aug 04;7(8):R71en_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.departmentWhitehead Institute for Biomedical Researchen_US
dc.contributor.mitauthorYuan, Bingbing B.
dc.contributor.mitauthorSive, Hazel L.
dc.contributor.mitauthorDanford, Timothy William
dc.contributor.mitauthorYoung, Richard A.
dc.contributor.mitauthorBell, George W.
dc.relation.journalGenome Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pmid16889661
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2010-09-03T16:14:25Z
dc.language.rfc3066en
dc.rights.holderWardle et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsWardle, Fiona C; Odom, Duncan T; Bell, George W; Yuan, Bingbing; Danford, Timothy W; Wiellette, Elizabeth L; Herbolsheimer, Elizabeth; Sive, Hazel L; Young, Richard A; Smith, James Cen
dc.identifier.orcidhttps://orcid.org/0000-0002-4890-424X
dc.identifier.orcidhttps://orcid.org/0000-0001-8855-8647
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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