Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries.
Zilu YeYang MaoHenrik ClausenSergey Y VakhrushevPublished in: Nature methods (2019)
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.
Keyphrases
- tandem mass spectrometry
- liquid chromatography
- high resolution
- ultra high performance liquid chromatography
- high performance liquid chromatography
- mass spectrometry
- simultaneous determination
- high resolution mass spectrometry
- gas chromatography
- cell surface
- endothelial cells
- solid phase extraction
- induced pluripotent stem cells
- electronic health record
- machine learning
- big data
- molecular docking
- pluripotent stem cells
- data analysis
- molecular dynamics simulations
- ms ms