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Mass Spectrometry-Based Methods for Identifying Oxidized Proteins in Disease: Advances and Challenges
Open accessAbstract
Many inflammatory diseases have an oxidative aetiology, which leads to oxidative damage to biomolecules, including proteins. It is now increasingly recognized that oxidative post-translational modifications (oxPTMs) of proteins affect cell signalling and behaviour, and can contribute to pathology. Moreover, oxidized proteins have potential as biomarkers for inflammatory diseases. Although many assays for generic protein oxidation and breakdown products of protein oxidation are available, only advanced tandem mass spectrometry approaches have the power to localize specific oxPTMs in identified proteins. While much work has been carried out using untargeted or discovery mass spectrometry approaches, identification of oxPTMs in disease has benefitted from the development of sophisticated targeted or semi-targeted scanning routines, combined with chemical labeling and enrichment approaches. Nevertheless, many potential pitfalls exist which can result in incorrect identifications. This review explains the limitations, advantages and challenges of all of these approaches to detecting oxidatively modified proteins, and provides an update on recent literature in which they have been used to detect and quantify protein oxidation in disease.
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“Top-down approaches can be helpful to evaluate the total modification status on an individual protein [[93], [94], [95], [96]].”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [79]
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Metadata
- Authors
- Verrastro, I., Pasha, S., Jensen, K., Pitt, A., & Spickett, C.
- Affiliations
- Aston University (GB)
- Corresponding author
- Spickett, Corinne
- Venue
- Biomolecules
- Publisher
- MDPI AG
- Published
- 2015-04-14
- Volume
- 5
- Issue
- 2
- Pages
- 378-411
- ISSN
- 2218-273X (ISSN-L)
- PMC
- PMC4496678
- OpenAlex
- W2132553988
- Cited by
- 114
- References
- 189
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 6 · 2023: 11 · 2022: 7 · 2021: 18 · 2020: 10 · 2019: 7 · 2018: 13 · 2017: 13 · 2016: 6
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Biomolecules (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Aston Publications Explorer (Aston University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- EPSRC (EP/I017887/1)
- 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
- oxidized proteins, oxidative post-translational modifications, protein oxidation, inflammatory diseases, biomarkers, tandem mass spectrometry, targeted mass spectrometry, chemical labeling, oxidative damage
- MeSH terms
- Animals, Cardiovascular Diseases, Humans, Oxidation-Reduction, Protein Processing, Post-Translational, Mass Spectrometry, Advanced Oxidation Protein Products
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 ›
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