Site-Specific Glycan-Peptide Analysis for Determination of N‑Glycoproteome Heterogeneity

A combined glycomics and glycoproteomics strategy was developed for the site-specific analysis of N-linked glycosylation heterogeneity from a complex mammalian protein mixture. Initially, global characterization of the N-glycome was performed using porous graphitized carbon liquid chromatography–tan...

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Veröffentlicht in:Journal of proteome research 2013-12, Vol.12 (12), p.5791-5800
Hauptverfasser: Parker, Benjamin L, Thaysen-Andersen, Morten, Solis, Nestor, Scott, Nichollas E, Larsen, Martin R, Graham, Mark E, Packer, Nicolle H, Cordwell, Stuart J
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Sprache:eng
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Zusammenfassung:A combined glycomics and glycoproteomics strategy was developed for the site-specific analysis of N-linked glycosylation heterogeneity from a complex mammalian protein mixture. Initially, global characterization of the N-glycome was performed using porous graphitized carbon liquid chromatography–tandem mass spectrometry (PGC-LC–MS/MS) and the data used to create an N-glycan modification database. In the next step, tryptic glycopeptides were enriched using zwitterionic hydrophilic interaction liquid chromatography (Zic-HILIC) and fractionated by reversed-phase liquid chromatography (RPLC; pH 7.9). The resulting fractions were each separated into two equal aliquots. The first set of aliquots were treated with peptide-N-glycosidase F (PNGase F) to remove N-glycans and the former N-glycopeptides analyzed by nano-RPLC-MS/MS (pH 2.7) and identified by Mascot database search. This enabled the creation of a glycopeptide-centric concatenated database for each fraction. The second set of aliquots was analyzed directly by nanoRPLC-MS/MS (pH 2.7), employing fragmentation by CID and HCD. The assignment of glycan compositions to peptide sequences was achieved by searching the N-glycopeptide HCD MS/MS spectra against the glycopeptide-centric concatenated databases employing the N-glycan modification database. CID spectra were used to assign glycan structures identified in the glycomic analysis to peptide sequences. This multidimensional approach allowed confident identification of 863 unique intact N-linked glycopeptides from 161 rat brain glycoproteins.
ISSN:1535-3893
1535-3907
DOI:10.1021/pr400783j