Comptes Rendus Biologies 326 (2003), 1049-1065.
HCIL-2003-26, CS-TR-4690, ISR-TR-2005-45
We 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  is filtered
for relevance to muscle regeneration using a 27 time point in vivo murine regeneration
series. Using both interactive hierarchical clustering (HCE) , and Bayes soft clustering
(VISDA) [3,4]. We show that only a minority of in vitro–defined 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.