Show simple item record

In vivo filtering of in vitro MyoD target data: An approach for identification of biologically relevant novel downstream targets of transcription factors (2003)

dc.contributor.authorZhao, Poen_US
dc.contributor.authorSeo, Jinwooken_US
dc.contributor.authorWang, Zuyien_US
dc.contributor.authorWang, Yueen_US
dc.contributor.authorShneiderman, Benen_US
dc.contributor.authorHoffman, Eric P.en_US
dc.date.accessioned2007-05-23T10:16:51Z
dc.date.available2007-05-23T10:16:51Z
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1903/6507
dc.description.abstractWe report a novel approach to identification of downstream targets of MyoD, where a published set of candidate targets from a well-controlled in vitro experiment [1] is filtered for relevance to muscle regeneration using a 27 time point in vivo murine regeneration series. Using both interactive hierarchical clustering (HCE) [2], and Bayes soft clustering (VISDA) [3,4]. We show that only a minority of in vitroefined candidates can be confirmed in vivo (~50% of induced transcripts, and none of repressed transcripts). The concordance of the in vitro, in vivo datasets, and both HCE and VISDA analytical techniques showed strong support for 18 targets (13 no vel) of MyoD that are biologically relevant during myoblast differentiation, including Cdh15, L-myc, Hes6, Stam, Tnnt2, Fyn, Rapsn, Nestin, Osp94, Pep4, Mef2a, Sh3glb1 and Rb1.en_US
dc.format.extent1083635 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2005-45en_US
dc.titleIn vivo filtering of in vitro MyoD target data: An approach for identification of biologically relevant novel downstream targets of transcription factors (2003)en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record