期刊
BIOMED RESEARCH INTERNATIONAL
卷 2018, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2018/1564136
关键词
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资金
- International S&T Cooperation Program of China [2014DFB30010]
- National Key R & D Program of China [SQ2018YFA050014]
- Strategic Priority Research Programs of the Chinese Academy of Sciences [XDB13040600, XDA12030202]
- National Key Basic Research Program of China [2015CB554406]
- National Natural Science Foundation of China [31670185, 91640112]
- NCMIS CAS
Confident characterization of intact glycopeptides is a challenging task in mass spectrometry-based glycoproteomics due to microheterogeneity of glycosylation, complexity of glycans, and insufficient fragmentation of peptide bones. Open mass spectral library search is a promising computational approach to peptide identification, but its potential in the identification of glycopeptides has not been fully explored. Here we present pMatchGlyco, a new spectral library search tool for intact N-linked glycopeptide identification using high-energy collisional dissociation (HCD) tandem mass spectrometry (MS/MS) data. In pMatchGlyco, (1) MS/MS spectra of deglycopeptides are used to create spectral library, (2) MS/MS spectra of glycopeptides are matched to the spectra in library in an open (precursor tolerant) manner and the glycans are inferred, and (3) a false discovery rate is estimated for top-scored matches above a threshold. The efficiency and reliability of pMatchGlyco were demonstrated on a data set of mixture sample of six standard glycoproteins and a complex glycoprotein data set generated from human cancer cell line OVCAR3.
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