Dataset Information

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.

INSTRUMENT(S): LTQ FT, LTQ Orbitrap Velos, Q Exactive

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Wolfgang Reiter

LAB HEAD: Wolfgang L. Reiter

PROVIDER: PXD011935 | Pride | 2019-06-11

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	2018.07_UP000005640_9606_Homo_sapiens_canonical.fasta	Fasta
	2018.07_UP000005640_9606_Homo_sapiens_canonicalcontaminants.fasta	Fasta
	20181002_QExHFX1_RSLC1_DC_Hela100ng_2908_iso-1c0_01.raw	Raw
	andromeda.7z.001.7z	Other
	andromeda.7z.002.7z	Other

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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]

PMID: 31208443

Publication: 1/2

Similar Datasets

Project description:In budding yeast, this signaling pathway— the high-osmolarity glycerol (HOG) response —culminates in dual phosphorylation and nuclear translocation of the MAPK, Hog1 (ortholog of mammalian p38/SAPK). Induction of at least 50 genes requires nuclear Hog1, implying that transcriptional up-regulation is necessary to cope with hyperosmotic stress. Contrary to this expectation, we found that cells lacking the karyopherin (Nmd5) required for Hog1 nuclear import or in which Hog1 was permanently anchored at the plasma membrane(HOG1-CCAAX) (or both) withstood hyperosmotic challenge by three different solutes (1 M sorbitol, KCl or NaCl). In cells where activated Hog1 is excluded from the nucleus, there was little change in transcriptional program after exposure to hyperosmotic shock (comparable to hog1∆ cells), as judged by examining several diagnostic mRNAs and by global transcript measurements using microarrays. Systematic genetic analysis ruled out the need for any transcription factor known to be influenced by Hog1 (Hot1, Msn2, Msn4, Sko1 and Smp1). Keywords: Time course of stress response gene expression array The transcriptomes' of HOG1-GFP, hog1del, and HOG1-CCAAX strains before and after 60 min hyperosmotic shock with 1M sorbitol at 25C were compared. Three biological replicates were done, with the first biological replicate done in technical triplicate, and the final two biological replicates beind done in technical duplicate by in slide duplication of features. Several supplementary files attached to the Series are summarized below: GSE8703 B1, B2, B3 Tscombined_matrix files show the averages of the technical replicates for each biological replicate. GSE8703 B1, B2, B3 norm_to_0_matrix files show the fold change over the time course (log2 time 60 - log2 time 0) for each of the three strains in each biological replicate. GSE8703 Figure_S6 shows the 30 genes with the most significant difference between the HOG1-GFP strain and the hog1del strain as determined by SAM. Genes were identified as: >3 fold induction in HOG1-GFP over 60 minute hyperosmotic shock and <3 fold induction in hog1del over 60 minute hyperosmotic shock.