Universität zu Köln

Grossbach, Jan ORCID: 0000-0002-9394-5665, Gillet, Ludovic, Clement-Ziza, Mathieu, Schmalohr, Corinna L., Schubert, Olga T., Schuetter, Maximilian, Mawer, Julia S. P., Barnes, Christopher A., Bludau, Isabell, Weith, Matthias ORCID: 0000-0003-0804-4262, Tessarz, Peter ORCID: 0000-0002-6953-9835, Graef, Martin, Aebersold, Ruedi and Beyer, Andreas ORCID: 0000-0002-3891-2123 (2022). The impact of genomic variation on protein phosphorylation states and regulatory networks. Mol. Syst. Biol., 18 (5). HOBOKEN: WILEY. ISSN 1744-4292

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Abstract

Genomic variation impacts on cellular networks by affecting the abundance (e.g., protein levels) and the functional states (e.g., protein phosphorylation) of their components. Previous work has focused on the former, while in this context, the functional states of proteins have largely remained neglected. Here, we generated high-quality transcriptome, proteome, and phosphoproteome data for a panel of 112 genomically well-defined yeast strains. Genetic effects on transcripts were generally transmitted to the protein layer, but specific gene groups, such as ribosomal proteins, showed diverging effects on protein levels compared with RNA levels. Phosphorylation states proved crucial to unravel genetic effects on signaling networks. Correspondingly, genetic variants that cause phosphorylation changes were mostly different from those causing abundance changes in the respective proteins. Underscoring their relevance for cell physiology, phosphorylation traits were more strongly correlated with cell physiological traits such as chemical compound resistance or cell morphology, compared with transcript or protein abundance. This study demonstrates how molecular networks mediate the effects of genomic variants to cellular traits and highlights the particular importance of protein phosphorylation.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Grossbach, Jan UNSPECIFIED orcid.org/0000-0002-9394-5665 UNSPECIFIED Gillet, Ludovic UNSPECIFIED UNSPECIFIED UNSPECIFIED Clement-Ziza, Mathieu UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmalohr, Corinna L. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schubert, Olga T. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schuetter, Maximilian UNSPECIFIED UNSPECIFIED UNSPECIFIED Mawer, Julia S. P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Barnes, Christopher A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bludau, Isabell UNSPECIFIED UNSPECIFIED UNSPECIFIED Weith, Matthias UNSPECIFIED orcid.org/0000-0003-0804-4262 UNSPECIFIED Tessarz, Peter UNSPECIFIED orcid.org/0000-0002-6953-9835 UNSPECIFIED Graef, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Aebersold, Ruedi UNSPECIFIED UNSPECIFIED UNSPECIFIED Beyer, Andreas UNSPECIFIED orcid.org/0000-0002-3891-2123 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-688172
DOI:	10.15252/msb.202110712
Journal or Publication Title:	Mol. Syst. Biol.
Volume:	18
Number:	5
Date:	2022
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1744-4292
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SACCHAROMYCES-CEREVISIAE; GENE-EXPRESSION; TRANSCRIPTIONAL REGULATION; TARGETED ANALYSIS; ALIGNMENT; QUANTIFICATION; IDENTIFICATION; ABUNDANCE; SEQUENCE; GROWTH Multiple languages Biochemistry & Molecular Biology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/68817