Control of cell state transitions.

ABSTRACT: Understanding cell state transitions and purposefully controlling them is a longstanding challenge in biology. Here we present cell state transition assessment and regulation (cSTAR), an approach for mapping cell states, modelling transitions between them and predicting targeted interventions to convert cell fate decisions. cSTAR uses omics data as input, classifies cell states, and develops a workflow that transforms the input data into mechanistic models that identify a core signalling network, which controls cell fate transitions by influencing whole-cell networks. By integrating signalling and phenotypic data, cSTAR models how cells manoeuvre in Waddington's landscape¹ and make decisions about which cell fate to adopt. Notably, cSTAR devises interventions to control the move

SUBMITTER: Rukhlenko OS 

PROVIDER: S-EPMC9644236 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature