Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries
Research output: Contribution to journal › Journal article › Research › peer-review
We report a liquid chromatography coupled to tandem mass spectrometry O-glycoproteomics strategy using data-independent acquisition (DIA) mode for direct analysis of O-glycoproteins. This approach enables characterization of glycopeptides and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries (though it does not allow for direct unambiguous glycosite identification). The method relies on a spectral library of O-glycopeptides; the Glyco-DIA library contains sublibraries obtained from human cell lines and human serum, and it currently covers 2,076 O-glycoproteins (11,452 unique glycopeptide sequences) and the 5 most common core1 O-glycan structures. Applying the Glyco-DIA library to human serum without enrichment for glycopeptides enabled us to identify and quantify 269 distinct glycopeptide sequences bearing up to 5 different core1 O-glycans from 159 glycoproteins in a SingleShot analysis.
Original language | English |
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Journal | Nature Methods |
Volume | 16 |
Issue number | 9 |
Pages (from-to) | 902-910 |
Number of pages | 9 |
ISSN | 1548-7091 |
DOIs | |
Publication status | Published - 2019 |
ID: 228734179