Meta-analysis of differentiating mouse embryonic stem cell gene expression kinetics reveals early change of a small gene set.

ABSTRACT: Stem cell differentiation involves critical changes in gene expression. Identification of these should provide endpoints useful for optimizing stem cell propagation as well as potential clues about mechanisms governing stem cell maintenance. Here we describe the results of a new meta-analysis methodology applied to multiple gene expression datasets from three mouse embryonic stem cell (ESC) lines obtained at specific time points during the course of their differentiation into various lineages. We developed methods to identify genes with expression changes that correlated with the altered frequency of functionally defined, undifferentiated ESC in culture. In each dataset, we computed a novel statistical confidence measure for every gene which captured the certainty that a particular gene ex

SUBMITTER: Glover CH 

PROVIDER: S-EPMC1664699 | biostudies-literature | 2006 Nov

REPOSITORIES: biostudies-literature