Linking the signaling cascades and dynamic regulatory networks controlling stress responses.

ABSTRACT: Accurate models of the cross-talk between signaling pathways and transcriptional regulatory networks within cells are essential to understand complex response programs. We present a new computational method that combines condition-specific time-series expression data with general protein interaction data to reconstruct dynamic and causal stress response networks. These networks characterize the pathways involved in the response, their time of activation, and the affected genes. The signaling and regulatory components of our networks are linked via a set of common transcription factors that serve as targets in the signaling network and as regulators of the transcriptional response network. Detailed case studies of stress responses in budding yeast demonstrate the predictive power of our met

SUBMITTER: Gitter A 

PROVIDER: S-EPMC3561877 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature