Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions.

ABSTRACT: Molecular mechanisms employed by individual multipotent cells at the point of lineage commitment remain largely uncharacterized. Current paradigms span from instructive to noise-driven mechanisms. Of considerable interest is also whether commitment involves a limited set of genes or the entire transcriptional program, and to what extent gene expression configures multiple trajectories into commitment. Importantly, the transient nature of the commitment transition confounds the experimental capture of committing cells. We develop a computational framework that simulates stochastic commitment events, and affords mechanistic exploration of the fate transition. We use a combined modeling approach guided by gene expression classifier methods that infers a time-series of stochastic commitment ev

SUBMITTER: Teles J 

PROVIDER: S-EPMC3749951 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature