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Human serum glycopeptide LC-MS/MS


ABSTRACT: The heterogeneity caused by post-translational modifications and wide dynamic range of relative protein abundances of the human serum proteome, challenge the capabilities of existing mass spectrometry-based methodologies in accurate identifying N-linked glycopeptides from human serum. To overcome these challenges, we utilized pParse 2.0 to find monoisotopic peak of each precursor ion as well as co-eluted ones, then applied spectral library search to intact glycopeptide identification through pMatchGlyco. Spectra of deglycosylated peptide including semi-tryptic peptides and common modifications were used for spectral library construction. Through scoring of ion matches on MS/MS spectra and target-decoy false positive rate control, and manual check of co-eluted precursor ions at MS1 level, the accuracy of identification was improved. In total, this method identified 1,194 N-linked glycosites and 448 unique glycoproteins in human serum.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma, Blood Serum

DISEASE(S): Not Available

SUBMITTER: Lian Shu  

LAB HEAD: Fuquan Yang; Yan Fu

PROVIDER: PXD012219 | Pride | 2019-01-07

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Identified GPSMs of FGP.xlsx Xlsx
Identified GPSMs of UGP.xlsx Xlsx
PDGP_F1.mgf Mgf
PDGP_F1.raw Raw
PDGP_F10.mgf Mgf
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