Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response.

Cells respond to stressful conditions by coordinating a complex, multi-faceted response that spans many levels of physiology. Much of the response is coordinated by changes in protein phosphorylation. Although the regulators of transcriptome changes during stress are well characterized in Saccharomyces cerevisiae, the upstream regulatory network controlling protein phosphorylation is ...
less well dissected. Here, we developed a computational approach to infer the signaling network that regulates phosphorylation changes in response to salt stress. We developed an approach to link predicted regulators to groups of likely co-regulated phospho-peptides responding to stress, thereby creating new edges in a background protein interaction network. We then use integer linear programming (ILP) to integrate wild type and mutant phospho-proteomic data and predict the network controlling stress-activated phospho-proteomic changes. The network we inferred predicted new regulatory connections between stress-activated and growth-regulating pathways and suggested mechanisms coordinating metabolism, cell-cycle progression, and growth during stress. We confirmed several network predictions with co-immunoprecipitations coupled with mass-spectrometry protein identification and mutant phospho-proteomic analysis. Results show that the cAMP-phosphodiesterase Pde2 physically interacts with many stress-regulated transcription factors targeted by PKA, and that reduced phosphorylation of those factors during stress requires the Rck2 kinase that we show physically interacts with Pde2. Together, our work shows how a high-quality computational network model can facilitate discovery of new pathway interactions during osmotic stress.
Mesh Terms:
Cell Cycle, Computational Biology, Computer Simulation, Cyclic AMP-Dependent Protein Kinases, Immunoprecipitation, Mass Spectrometry, Models, Biological, Osmotic Pressure, Phosphorylation, Protein Interaction Mapping, Protein-Serine-Threonine Kinases, Proteome, Proteomics, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Signal Transduction, Sodium Chloride, Transcription Factors
PLoS Comput. Biol.
Date: Dec. 01, 2017
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