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A deep redox proteome profiling workflow and its application to skeletal muscle of a Duchenne Muscular Dystrophy model. | LitMetric

A deep redox proteome profiling workflow and its application to skeletal muscle of a Duchenne Muscular Dystrophy model.

Free Radic Biol Med

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. Electronic address:

Published: November 2022

Perturbation to the redox state accompanies many diseases and its effects are viewed through oxidation of biomolecules, including proteins, lipids, and nucleic acids. The thiol groups of protein cysteine residues undergo an array of redox post-translational modifications (PTMs) that are important for regulation of protein and pathway function. To better understand what proteins are redox regulated following a perturbation, it is important to be able to comprehensively profile protein thiol oxidation at the proteome level. Herein, we report a deep redox proteome profiling workflow and demonstrate its application in measuring the changes in thiol oxidation along with global protein expression in skeletal muscle from mdx mice, a model of Duchenne Muscular Dystrophy (DMD). In-depth coverage of the thiol proteome was achieved with >18,000 Cys sites from 5,608 proteins in muscle being quantified. Compared to the control group, mdx mice exhibit markedly increased thiol oxidation, where a ∼2% shift in the median oxidation occupancy was observed. Pathway analysis for the redox data revealed that coagulation system and immune-related pathways were among the most susceptible to increased thiol oxidation in mdx mice, whereas protein abundance changes were more enriched in pathways associated with bioenergetics. This study illustrates the importance of deep redox profiling in gaining greater insight into oxidative stress regulation and pathways/processes that are perturbed in an oxidizing environment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072164PMC
http://dx.doi.org/10.1016/j.freeradbiomed.2022.10.300DOI Listing

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