Multiple cell and population-level interactions with mouse embryonic stem cell heterogeneity.

ABSTRACT: Much of development and disease concerns the generation of gene expression differences between related cells sharing similar niches. However, most analyses of gene expression only assess population and time-averaged levels of steady-state transcription. The mechanisms driving differentiation are buried within snapshots of the average cell, lacking dynamic information and the diverse regulatory history experienced by individual cells. Here, we use a quantitative imaging platform with large time series data sets to determine the regulation of developmental gene expression by cell cycle, lineage, motility and environment. We apply this technology to the regulation of the pluripotency gene Nanog in mouse embryonic stem cells. Our data reveal the diversity of cell and population-level interacti

SUBMITTER: Cannon D 

PROVIDER: S-EPMC4550964 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature