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Isotopically Labeled Clickable Glutathione to Quantify Protein S-Glutathionylation.

ABSTRACT: Protein S-glutathionylation is one of the important cysteine oxidation events that regulate various redox-mediated biological processes. Despite several existing methods, there are few proteomic approaches to identify and quantify specific cysteine residues susceptible to S-glutathionylation. We previously developed a clickable glutathione approach that labels intracellular glutathione with azido-Ala by using a mutant form of glutathione synthetase. In this study, we developed a quantification strategy with clickable glutathione by using isotopically labeled heavy and light derivatives of azido-Ala, which provides the relative quantification of glutathionylated peptides in mass spectrometry-based proteomic analysis. We applied isotopically labeled clickable glutathione to HL-1 cardiomyocytes, quantifying relative levels of 1398 glutathionylated peptides upon addition of hydrogen peroxide. Importantly, we highlight elevated levels of glutathionylation on sarcomere-associated muscle proteins while validating glutathionylation of two structural proteins, ?-actinin and desmin. Our report provides a chemical proteomic strategy to quantify specific glutathionylated cysteines.

SUBMITTER: VanHecke GC

PROVIDER: S-EPMC7078011 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Isotopically Labeled Clickable Glutathione to Quantify Protein S-Glutathionylation.

VanHecke Garrett C GC Yapa Abeywardana Maheeshi M Huang Bo B Ahn Young-Hoon YH

Chembiochem : a European journal of chemical biology 20191029 6

Protein S-glutathionylation is one of the important cysteine oxidation events that regulate various redox-mediated biological processes. Despite several existing methods, there are few proteomic approaches to identify and quantify specific cysteine residues susceptible to S-glutathionylation. We previously developed a clickable glutathione approach that labels intracellular glutathione with azido-Ala by using a mutant form of glutathione synthetase. In this study, we developed a quantification s ...[more]

PMID: 31560820

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Project description:Optimal accuracy and precision in small-molecule profiling by mass spectrometry generally requires isotopically labeled standards chemically representative of all compounds of interest. However, preparation of mixed standards from commercially available pure compounds is often prohibitively expensive and time-consuming, and many labeled compounds are not available in pure form. We used a single-prototype uniformly labeled [U-(13)C]compound to generate [U-(13)C]-labeled volatile standards for use in subsequent experimental profiling studies. [U-(13)C]-?-Linolenic acid (18:3n-3, ALA) was thermally oxidized to produce labeled lipid degradation volatiles which were subsequently characterized qualitatively and quantitatively. Twenty-five [U-(13)C]-labeled volatiles were identified by headspace solid-phase microextraction-gas chromatography/time-of-flight mass spectrometry (HS-SPME-GC/TOF-MS) by comparison of spectra with unlabeled volatiles. Labeled volatiles were quantified by a reverse isotope dilution procedure. Using the [U-(13)C]-labeled standards, limits of detection comparable to or better than those of previous HS-SPME reports were achieved, 0.010-1.04 ng/g. The performance of the [U-(13)C]-labeled volatile standards was evaluated using a commodity soybean oil (CSO) oxidized at 60 °C from 0 to 15 d. Relative responses of n-decane, an unlabeled internal standard otherwise absent from the mixture, and [U-(13)C]-labeled oxidation products changed by up to 8-fold as the CSO matrix was oxidized, demonstrating that reliance on a single standard in volatile profiling studies yields inaccurate results due to changing matrix effects. The [U-(13)C]-labeled standard mixture was used to quantify 25 volatiles in oxidized CSO and low-ALA soybean oil with an average relative standard deviation of 8.5%. Extension of this approach to other labeled substrates, e.g., [U-(13)C]-labeled sugars and amino acids, for profiling studies should be feasible and can dramatically improve quantitative results compared to use of a single standard.

Dataset Information

Isotopically Labeled Clickable Glutathione to Quantify Protein S-Glutathionylation.

Publications

Isotopically Labeled Clickable Glutathione to Quantify Protein S-Glutathionylation.

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