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.
[doi:10.25345/C5NG4GW3N]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Glycoproteomics ; Plasma Biomarkers ; Data-independent acquisition
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Prof. Dr. Markus Ralser, Charite Universitatsmedizin Berlin, Germany |
Submitting User: | whitem |
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.
Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics.
Nat Biomed Eng. Epub 2023 Jul 20.
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