Journal of the American Society for Mass Spectrometry · 2017 · 210 citations · 65 references
Life SciencesBiochemistryMolecular BiologyGlycobiologyMass Spectrometric AnalysisProteomicsGlycan AnalysisGlycan StructureGlycoproteomicsPeptide AnalysisPeptide IdentificationProtein GlycosylationFragmentationGlycopeptide FragmentationGlycopeptide IdentificationGlycosylation SitesIntact Glycoprotein AnalysisMass Spectrometric Glycan AnalysisMass Spectrometry-based GlycoproteomicsProtein Glycosylation Analysis
Protein glycosylation, one of the most heterogeneous post-translational modifications, can play a major role in cellular signal transduction and disease progression. Traditional mass spectrometry (MS)-based large-scale glycoprotein sequencing studies heavily rely on identifying enzymatically released glycans and their original peptide backbone separately, as there is no efficient fragmentation method to produce unbiased glycan and peptide product ions simultaneously in a single spectrum, and that can be conveniently applied to high throughput glycoproteome characterization, especially for N-glycopeptides, which can have much more branched glycan side chains than relatively less complex O-linked glycans. In this study, a redefined electron-transfer/higher-energy collision dissociation (EThcD) fragmentation scheme is applied to incorporate both glycan and peptide fragments in one single spectrum, enabling complete information to be gathered and great microheterogeneity details to be revealed. Fetuin was first utilized to prove the applicability with 19 glycopeptides and corresponding five glycosylation sites identified. Subsequent experiments tested its utility for human plasma N-glycoproteins. Large-scale studies explored N-glycoproteomics in rat carotid arteries over the course of restenosis progression to investigate the potential role of glycosylation. The integrated fragmentation scheme provides a powerful tool for the analysis of intact N-glycopeptides and N-glycoproteomics. We also anticipate this approach can be readily applied to large-scale O-glycoproteome characterization. Graphical Abstract ᅟ.
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