Molecular mechanisms of system responses to novel stimuli are predictable from public data.

ABSTRACT: Systems scale models provide the foundation for an effective iterative cycle between hypothesis generation, experiment and model refinement. Such models also enable predictions facilitating the understanding of biological complexity and the control of biological systems. Here, we demonstrate the reconstruction of a globally predictive gene regulatory model from public data: a model that can drive rational experiment design and reveal new regulatory mechanisms underlying responses to novel environments. Specifically, using ∼ 1500 publically available genome-wide transcriptome data sets from Saccharomyces cerevisiae, we have reconstructed an environment and gene regulatory influence network that accurately predicts regulatory mechanisms and gene expression changes on exposure of cells to com

SUBMITTER: Danziger SA 

PROVIDER: S-EPMC3919619 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature