Modern quantitative mass spectrometry (MS)-based proteomics enables researchers to unravel signaling networks by monitoring proteome-wide cellular responses to different stimuli. MS-based analysis of signaling systems usually requires an integration of multiple quantitative MS experiments, which remains challenging, given that the overlap between these datasets is not necessarily comprehensive. In a previous study we analyzed the impact of the yeast mitogen-activated protein kinase (MAPK) HOG1 on the hyperosmotic stress-affected phosphorylome. Using a combination of a series of hyperosmotic stress and kinase inhibition experiments, we identified a broad range of direct and indirect substrates of the MAPK. Here we re-evaluate this extensive MS dataset and demonstrate that a combined analysis based on two software packages, MaxQuant and Proteome Discoverer, increases the coverage of HOG1-target proteins by 30%. Using protein-protein proximity assays we show that the majority of new targets gained by this analysis are indeed HOG1-interactors. Additionally, kinetic profiles indicate differential trends of HOG1-dependent versus HOG1-independent phosphorylation sites. Our findings highlight a previously unrecognized interconnection between HOG1 signaling and the RAM signaling network, as well as sphingolipid homeostasis.

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Journal Article | Research Support, Non-U.S. Gov't

Authors

Janschitz M, Romanov N, Varnavides G, Hollenstein DM, Gérecová G, Ammerer G, Hartl M, Reiter W

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