A systems biology pipeline identifies regulatory networks for stem cell engineering.

ABSTRACT: A major challenge for stem cell engineering is achieving a holistic understanding of the molecular networks and biological processes governing cell differentiation. To address this challenge, we describe a computational approach that combines gene expression analysis, previous knowledge from proteomic pathway informatics and cell signaling models to delineate key transitional states of differentiating cells at high resolution. Our network models connect sparse gene signatures with corresponding, yet disparate, biological processes to uncover molecular mechanisms governing cell fate transitions. This approach builds on our earlier CellNet and recent trajectory-defining algorithms, as illustrated by our analysis of hematopoietic specification along the erythroid lineage, which reveals a role

SUBMITTER: Kinney MA 

PROVIDER: S-EPMC7235931 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature