The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
CysQuant: simultaneous quantification of cysteine oxidation and protein abundance using data dependent or independent acquisition mass spectrometry
Open accessPreprint — published as 10.1016/j.redox.2023.102908
Abstract
Protein cysteinyl thiols are susceptible to reduction-oxidation reactions that can influence protein function. Accurate quantification of cysteine oxidation is therefore crucial for decoding protein redox regulation. Here, we present CysQuant, a novel approach for simultaneous quantification of cysteine oxidation degrees and protein abundancies. CysQuant involves light/heavy iodoacetamide isotopologues for differential labeling of reduced and reversibly oxidized cysteines analyzed by data-dependent acquisition (DDA) or data-independent acquisition mass spectrometry (DIA-MS). Using plexDIA with in silico predicted spectral libraries, we quantified an average of 18% cysteine oxidation in Arabidopsis thaliana by DIA-MS, including a subset of highly oxidized cysteines forming disulfide bridges in AlphaFold2 predicted structures. Applying CysQuant to Arabidopsis seedlings exposed to excessive light, we successfully quantified the well-established increased reduction of Calvin-Benson cycle enzymes and discovered yet uncharacterized redox-sensitive disulfides in chloroplastic enzymes. Overall, CysQuant is a highly versatile tool for assessing the cysteine modification status that can be widely applied across various mass spectrometry platforms and organisms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Flagged first, then by citations
Research works printed but not linked: 78
- 2021, Contemporary proteomic strategies for cysteine redoxome profiling, Plant Physiol, 186, 110, 10.1093/plphys/kiaa074 · DOI
- 2019, Oxidative protein folding: state-of-the-art and current avenues of research in plants, New Phytol, 221, 1230, 10.1111/nph.15436 · DOI
- 2022, The cytosolic thiol peroxidase PRXIIB is an intracellular sensor for H2O2 that regulates plant immunity through a redox relay, Nat Plants, 8, 1160, 10.1038/s41477-022-01252-5 · DOI
- 10.1016/j.molcel.2004.06.021 · DOI
- 10.1016/S0092-8674(02)01048-6 · DOI
- 10.1089/ars.2011.4327 · DOI
- 10.1104/pp.110.167569 · DOI
- 10.1073/pnas.1906768116 · DOI
- 10.1038/s41589-018-0116-2 · DOI
- 10.1073/pnas.1521318113 · DOI
- 2020, Identification of Sulfenylated Cysteines in Arabidopsis thaliana Proteins Using a Disulfide-Linked Peptide Reporter, Front Plant Sci, 11, 777, 10.3389/fpls.2020.00777 · DOI
- 10.1074/mcp.M115.056440 · DOI
- 10.1016/j.tibs.2019.06.003 · DOI
- 2017, Quantitative proteomic characterization of redox-dependent post-translational modifications on protein cysteines, Mol Biosyst, 13, 816, 10.1039/C6MB00861E · DOI
- 10.1073/pnas.0707723105 · DOI
- 2021, SPEAR: A proteomics approach for simultaneous protein expression and redox analysis, Free Radic Biol Med, 176, 366, 10.1016/j.freeradbiomed.2021.10.001 · DOI
- 10.1016/j.cell.2020.02.012 · DOI
- 10.1073/pnas.1910501117 · DOI
- 2020, Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection, Cell Syst, 11, 11, 10.1016/j.cels.2020.05.012 · DOI · Paper page
- 2023, Extending the sensitivity, consistency and depth of single-cell proteomics, Nat Methods, 20, 649, 10.1038/s41592-023-01786-2 · DOI
- 2023, Increasing the throughput of sensitive proteomics by plexDIA, Nat Biotechnol, 41, 50, 10.1038/s41587-022-01389-w · DOI
- 10.1074/mcp.RA119.001714 · DOI
- 2019, oxSWATH: An integrative method for a comprehensive redox-centered analysis combined with a generic differential proteomics screening, Redox Biol, 22, 101130, 10.1016/j.redox.2019.101130 · DOI
- 2022, Quantitative Chemoproteomic Profiling with Data-Independent Acquisition-Based Mass Spectrometry, J Am Chem Soc, 144, 901, 10.1021/jacs.1c11053 · DOI
- 2020, DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput, Nat Methods, 17, 41, 10.1038/s41592-019-0638-x · DOI
- 10.1021/acs.jproteome.8b00505 · DOI
- 2008, MaxQuant enables high peptide identification rates, individualized p, p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol, 26, 1367
- 10.1007/978-1-4939-1142-4_24 · DOI
- 10.1038/s41467-018-04003-3 · DOI
- 2022, The ferredoxin/thioredoxin pathway constitutes an indispensable redox-signaling cascade for light-dependent reduction of chloroplast stromal proteins, J Biol Chem, 298, 102650, 10.1016/j.jbc.2022.102650 · DOI
- 10.1089/ars.2007.1931 · DOI
- 10.1146/annurev.arplant.59.032607.092759 · DOI
- 2023, Functionally annotating cysteine disulfides and metal binding sites in the plant kingdom using AlphaFold2 predicted structures, Free Radic Biol Med, 194, 220, 10.1016/j.freeradbiomed.2022.12.001 · DOI
- 2022, Identification of Iron-Sulfur (Fe-S) Cluster and Zinc (Zn) Binding Sites Within Proteomes Predicted by DeepMind’s AlphaFold2 Program Dramatically Expands the Metalloproteome, J Mol Biol, 434, 167377, 10.1016/j.jmb.2021.167377 · DOI · Paper page
- 10.1073/pnas.96.16.9438 · DOI · Paper page
- 10.3389/fpls.2013.00470 · DOI
- 10.1104/pp.107.103218 · DOI
- 10.1093/bioinformatics/btu305 · DOI
- 10.1042/bj3420647 · DOI
- 10.1023/B:PRES.0000015375.40167.76 · DOI
- 10.1073/pnas.0736939100 · DOI
- 10.1104/pp.106.083055 · DOI
- 10.1111/j.1365-313X.2007.03090.x · DOI
- 10.1093/mp/ssp002 · DOI
- 10.1104/pp.103.032375 · DOI
- 2022, Activation of anthocyanin biosynthesis in high light - what is the initial signal?, New Phytol, 236, 2037, 10.1111/nph.18488 · DOI
- 2020, Arabidopsis BSD2 reveals a novel redox regulation of Rubisco physiology in vivo, Plant Signal Behav, 15, 1740873, 10.1080/15592324.2020.1740873 · DOI
- 10.1111/jipb.12246 · DOI
- 10.1111/j.1365-3040.2006.01555.x · DOI
- 10.1093/pcp/pcd010 · DOI
- 2023, FAT-switch-based quantitative S-nitrosoproteomics reveals a key role of GSNOR1 in regulating ER functions, Nat Commun, 14, 3268, 10.1038/s41467-023-39078-0 · DOI
- 2022, An atlas of Arabidopsis protein S-acylation reveals its widespread role in plant cell organization and function, Nat Plants, 8, 670, 10.1038/s41477-022-01164-4 · DOI
- 2022, Proteome-wide identification of S-sulfenylated cysteines reveals metabolic response to freezing stress after cold acclimation in Brassica napus, Front Plant Sci, 13, 1014295, 10.3389/fpls.2022.1014295 · DOI
- 10.1016/j.celrep.2018.06.090 · DOI
- 2022, ND3 Cys39 in complex I is exposed during mitochondrial respiration, Cell Chem Biol, 29, 636, 10.1016/j.chembiol.2021.10.010 · DOI
- 10.1074/jbc.AC118.007225 · DOI
- 10.1038/s41592-020-00998-0 · DOI
- 10.1105/tpc.105.033589 · DOI
- 10.1093/mp/ssn061 · DOI
- 10.1105/tpc.19.00642 · DOI
- 10.1023/A:1011845506196 · DOI
- 10.1104/pp.69.6.1404 · DOI
- 10.1111/j.1365-313X.2007.03366.x · DOI
- 10.1016/S0981-9428(03)00065-2 · DOI
- 10.1104/pp.15.01709 · DOI
- 2021, Engineering of the cytosolic form of phosphoglucose isomerase into chloroplasts improves plant photosynthesis and biomass, New Phytol, 231, 315, 10.1111/nph.17368 · DOI
- 10.1104/pp.16.00215 · DOI
- 10.1021/acs.jproteome.5b00245 · DOI
- 2016, Differential quantification of isobaric phosphopeptides using data-independent acquisition mass spectrometry, Mol Biosyst, 12, 2385, 10.1039/C6MB00385K · DOI
- 10.1371/journal.pone.0189209 · DOI
- 10.1021/acs.jproteome.0c00853 · DOI
- K. Franziska , L. G. Justus , R. S. Ludwig , D. Vadim , QuantUMS: uncertainty minimisation enables confident quantification in proteomics. bioRxiv, 2023.2006.2020.545604 (2023).
- 10.1074/mcp.RA119.001792 · DOI · Paper page
- 10.1093/nar/gkw1041 · DOI
- 10.1093/bioinformatics/btu550 · DOI
- 10.1002/PRO.3943 · DOI
- 10.1093/nar/gkv468 · DOI
- 10.1093/NAR/GKAB1038 · DOI · Paper page
Metadata
- Authors
- Huang, J., Staes, A., Impens, F., Demichev, V., Van Breusegem, F., Gevaert, K., & Willems, P.
- Affiliations
- Ghent University (BE)
- Charité – Universitätsmedizin Berlin (DE)
- Vlaams Instituut voor Biotechnologie (BE)
- Corresponding author
- Gevaert, Kris
- Willems, Patrick
- ORCID
- Venue
- Redox Biology
- Publisher
- openRxiv
- Published
- 2023-07-24
- Volume
- 67
- Pages
- 102908-102908
- ISSN
- 2213-2317 (ISSN-L)
- PMC
- PMC10562924
- OpenAlex
- W4387095593
- Cited by
- 39
- References
- 1
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 9 · 2023: 1
- FWCI
- 3.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Redox Biology (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Bundesministerium für Bildung und Forschung (161L0221)
- Fonds Wetenschappelijk Onderzoek (1227020N, G007723N, 12T1722N)
- Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie
- Vlaamse regering
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Redox biology and oxidative stress
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Keywords
- cysteine oxidation, protein abundance quantification, data-independent acquisition mass spectrometry, data-dependent acquisition, spectral library, disulfide bonds, protein redox regulation, chloroplast enzymes, Arabidopsis thaliana, light stress
- MeSH terms
- Cysteine, Oxidation-Reduction, Proteins, Mass Spectrometry, Sulfhydryl Compounds
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review