Model-Based Analysis of Cell Cycle Responses to Dynamically Changing Environments.

ABSTRACT: Cell cycle progression is carefully coordinated with a cell's intra- and extracellular environment. While some pathways have been identified that communicate information from the environment to the cell cycle, a systematic understanding of how this information is dynamically processed is lacking. We address this by performing dynamic sensitivity analysis of three mathematical models of the cell cycle in Saccharomyces cerevisiae. We demonstrate that these models make broadly consistent qualitative predictions about cell cycle progression under dynamically changing conditions. For example, it is shown that the models predict anticorrelated changes in cell size and cell cycle duration under different environments independently of the growth rate. This prediction is validated by comparison to

SUBMITTER: Seaton DD 

PROVIDER: S-EPMC4704810 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature