Modeling signaling-dependent pluripotency with Boolean logic to predict cell fate transitions.

ABSTRACT: Pluripotent stem cells (PSCs) exist in multiple stable states, each with specific cellular properties and molecular signatures. The mechanisms that maintain pluripotency, or that cause its destabilization to initiate development, are complex and incompletely understood. We have developed a model to predict stabilized PSC gene regulatory network (GRN) states in response to input signals. Our strategy used random asynchronous Boolean simulations (R-ABS) to simulate single-cell fate transitions and strongly connected components (SCCs) strategy to represent population heterogeneity. This framework was applied to a reverse-engineered and curated core GRN for mouse embryonic stem cells (mESCs) and used to simulate cellular responses to combinations of five signaling pathways. Our simulations pre

SUBMITTER: Yachie-Kinoshita A 

PROVIDER: S-EPMC5787708 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature