Unknown

Dataset Information

0

Novel interconnections of HOG signaling revealed by combined use of two proteomic software packages.


ABSTRACT: 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.

SUBMITTER: Janschitz M 

PROVIDER: S-EPMC6572760 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Novel interconnections of HOG signaling revealed by combined use of two proteomic software packages.

Janschitz Marion M   Romanov Natalie N   Varnavides Gina G   Hollenstein David Maria DM   Gérecová Gabriela G   Ammerer Gustav G   Hartl Markus M   Reiter Wolfgang W  

Cell communication and signaling : CCS 20190617 1


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 o  ...[more]

Similar Datasets

2019-06-11 | PXD011935 | Pride
2019-06-23 | PXD013789 | panorama
| S-EPMC9177657 | biostudies-literature
| S-EPMC5079567 | biostudies-literature
| S-EPMC5234688 | biostudies-literature
| S-BSST765 | biostudies-other
| S-BSST797 | biostudies-other
| S-BSST809 | biostudies-other
| S-EPMC2225505 | biostudies-literature
| S-EPMC7003186 | biostudies-literature