Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in Yeast.

ABSTRACT: Cells react to extracellular perturbations with complex and intertwined responses. Systematic identification of the regulatory mechanisms that control these responses is still a challenge and requires tailored analyses integrating different types of molecular data. Here we acquired time-resolved metabolomics measurements in yeast under salt and pheromone stimulation and developed a machine learning approach to explore regulatory associations between metabolism and signal transduction. Existing phosphoproteomics measurements under the same conditions and kinase-substrate regulatory interactions were used to in silico estimate the enzymatic activity of signalling kinases. Our approach identified informative associations between kinases and metabolic enzymes capable of predicting metabolic ch

SUBMITTER: Goncalves E 

PROVIDER: S-EPMC5224888 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature