Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics

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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.

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APA

White, M. E. H., Sinn, L. R., Jones, D. M., de Folter, J., Aulakh, S. K., Wang, Z., … Ralser, M. (2024). Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics. Nature Biomedical Engineering, 8(3), 233–247. https://doi.org/10.1038/s41551-023-01067-5

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