Dataset Information

Quantification of exercise-regulated ubiquitin-signalling

ABSTRACT: The maintenance of muscle function is extremely important for whole body health and exercise is essential to this process. The ubiquitin-proteasome system (UPS) is required for muscle adaptation following exercise but little is known about acute post-translational regulation and proteome remodelling during exercise. Here, we used quantitative proteomics to study ubiquitin-signalling dynamics in human skeletal muscle biopsies from healthy males before, during and after a single bout of high-intensity exercise. Exercise resulted in a marked depletion of protein ubiquitylation consistent with proteasome activation. This was also associated with acute post-translational modification of protein abundance via a network of proteases.

INSTRUMENT(S): Orbitrap Fusion, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Skeletal Muscle

SUBMITTER: Benjamin Parker

LAB HEAD: Benjamin Parker

PROVIDER: PXD016158 | Pride | 2020-03-17

REPOSITORIES: Pride

ACCESS DATA

Publications

Quantification of exercise-regulated ubiquitin signaling in human skeletal muscle identifies protein modification cross talk via NEDDylation.

Parker Benjamin L BL Kiens Bente B Wojtaszewski Jørgen F P JFP Richter Erik A EA James David E DE

FASEB journal : official publication of the Federation of American Societies for Experimental Biology 20200305 4

The maintenance of muscle function is extremely important for whole body health and exercise is essential to this process. The ubiquitin-proteasome system (UPS) is required for muscle adaptation following exercise but little is known about acute posttranslational regulation and proteome remodeling during and after high-intensity exercise. Here, we used quantitative proteomics to study ubiquitin signaling dynamics in human skeletal muscle biopsies from healthy males before, during, and after a si ...[more]

PMID: 32141134

Similar Datasets

Project description:The rates of obesity and sedentary lifestyle are on a dramatic incline, with associated detrimental health effects among women in particular. Although exercise prescriptions are useful for overcoming these problems, success can be hampered by differential responsiveness among individuals in cardiovascular fitness indices (i.e., improvements in strength, lipids, VO2max). Genetic factors appear to play an important role in determining this inter-individual variation in responsiveness. We performed microarray analyses on mRNA in whole blood from 60 sedentary women from a multi-ethnic cohort who underwent 12 weeks of exercise, to identify gene subsets that were differentially expressed between individuals who experienced the greatest and least improvements in fitness based upon a composite fitness score index. We identified 43 transcripts in 39 unique genes (FDR<10%; FC>1.5) whose expression increased the most in “high” versus “low” premenopausal female responders. Several (TIGD7, UQCRH, PSMA6, WDR12, TFB2M, USP15) have reported associations with fitness-related phenotypes. Bioinformatic analysis of the 39 genes identified 4 miRNAs whose expression has been linked to cardiovascular diseases (ANKRD22: miR-637, LRRFIP1: miR-132, PRKAR2B: miR-92a, RSAD2:miR-192). These 39 genes were enriched in 6 biological pathways, including the oxidative phosphorylation pathway (p=8.08 x 10-3). Two genes, LRRFIP1 and SNORD30, were also identified with lower expression in high responding postmenopausal women. In summary, we identified gene signatures based on mRNA analysis that define responsiveness to exercise in a largely minority-based female cohort. Importantly, this study validates several genes/pathways previously associated with exercise responsiveness and extends these findings with additional novel genes. We performed microarray analyses on mRNA in whole blood from 60 sedentary women from a multi-ethnic cohort who underwent 12 weeks of exercise, to identify gene subsets that were differentially expressed between individuals who experienced the greatest and least improvements in fitness based upon a composite fitness score index.

Dataset Information

Quantification of exercise-regulated ubiquitin-signalling

Publications

Quantification of exercise-regulated ubiquitin signaling in human skeletal muscle identifies protein modification cross talk via NEDDylation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure