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Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics.

Authors :
White MEH
Sinn LR
Jones DM
de Folter J
Aulakh SK
Wang Z
Flynn HR
Krüger L
Tober-Lau P
Demichev V
Kurth F
Mülleder M
Blanchard V
Messner CB
Ralser M
Source :
Nature biomedical engineering [Nat Biomed Eng] 2024 Mar; Vol. 8 (3), pp. 233-247. Date of Electronic Publication: 2023 Jul 20.
Publication Year :
2024

Abstract

Protein glycosylation, a complex and heterogeneous post-translational modification that is frequently dysregulated in disease, has been difficult to analyse at scale. Here we report a data-independent acquisition technique for the large-scale mass-spectrometric quantification of glycopeptides in plasma samples. The technique, which we named 'OxoScan-MS', identifies oxonium ions as glycopeptide fragments and exploits a sliding-quadrupole dimension to generate comprehensive and untargeted oxonium ion maps of precursor masses assigned to fragment ions from non-enriched plasma samples. By applying OxoScan-MS to quantify 1,002 glycopeptide features in the plasma glycoproteomes from patients with COVID-19 and healthy controls, we found that severe COVID-19 induces differential glycosylation in IgA, haptoglobin, transferrin and other disease-relevant plasma glycoproteins. OxoScan-MS may allow for the quantitative mapping of glycoproteomes at the scale of hundreds to thousands of samples.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2157-846X
Volume :
8
Issue :
3
Database :
MEDLINE
Journal :
Nature biomedical engineering
Publication Type :
Academic Journal
Accession number :
37474612
Full Text :
https://doi.org/10.1038/s41551-023-01067-5