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GlycoMaster DB: software to assist the automated identification of N-linked glycopeptides by tandem mass spectrometry.

作者信息

He Lin, Xin Lei, Shan Baozhen, Lajoie Gilles A, Ma Bin

机构信息

David R. Cheriton School of Computer Science, University of Waterloo , Waterloo, Ontario N2L 3G1, Canada.

出版信息

J Proteome Res. 2014 Sep 5;13(9):3881-95. doi: 10.1021/pr401115y. Epub 2014 Aug 25.


DOI:10.1021/pr401115y
PMID:25113421
Abstract

Glycosylation is one of the most commonly observed post-translational modifications (PTMs) in eukaryotes. It is believed that more than 50% eukaryotic proteins are glycosylated. To reveal the biological functions of protein-linked glycans involved in numerous biological processes, the high-throughput identification of both glycoproteins and the attached glycan structures becomes fundamentally important. Tandem mass spectrometry (MS/MS) is an effective method for glycoproteomic analysis because of its high sensitivity and selectivity. Two experimental approaches exist to obtain MS/MS spectral data of glycopeptides. One consists of isolating glycans from glycopeptides and generating MS/MS spectra of the glycans and peptides separately. The other approach produces spectra directly from intact glycopeptides. The latter approach has the advantage of retaining the glycosylation site information. However, the spectral data cannot be readily analyzed because of the lack of software specifically designed for the identification of intact glycopeptides. To address this need, we developed a novel software tool, GlycoMaster DB, to assist the automated and high-throughput identification of intact N-linked glycopeptides from MS/MS spectra. The software simultaneously searches a protein sequence database and a glycan structure database to find the best pair of peptide and glycan for each input spectrum. GlycoMaster DB can analyze mass spectral data produced with HCD/ETD mixed fragmentation, where HCD spectra are used to identify glycans and ETD spectra are used to determine peptide sequences. When only HCD spectra are available, GlycoMaster DB can still help to identify the glycans, and a list of possible peptide sequences are reported according to the accurate precursor mass and the N-linked glycopeptide sequon. GlycoMaster DB is freely accessible at http://www-novo.cs.uwaterloo.ca:8080/GlycoMasterDB .

摘要

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引用本文的文献

[1]
Uncovering missing glycans and unexpected fragments with pGlycoNovo for site-specific glycosylation analysis across species.

Nat Commun. 2024-9-14

[2]
A MATLAB-based app to improve LC-MS/MS data analysis for N-linked glycan peak identification.

BMC Bioinformatics. 2023-6-17

[3]
GlycoSLASH: Concurrent Glycopeptide Identification from Multiple Related LC-MS/MS Data Sets by Using Spectral Clustering and Library Searching.

J Proteome Res. 2023-5-5

[4]
Site-Specific Intact N-Linked Glycopeptide Characterization of Prostate-Specific Membrane Antigen from Metastatic Prostate Cancer Cells.

ACS Omega. 2022-8-18

[5]
Glycomic and Glycoproteomic Techniques in Neurodegenerative Disorders and Neurotrauma: Towards Personalized Markers.

Cells. 2022-2-8

[6]
Precise, fast and comprehensive analysis of intact glycopeptides and modified glycans with pGlyco3.

Nat Methods. 2021-12

[7]
The next "sweet" spot for pancreatic ductal adenocarcinoma: Glycoprotein for early detection.

Mass Spectrom Rev. 2023-3

[8]
Glycan Compositions with GlyConnect Compozitor to Enhance Glycopeptide Identification.

Methods Mol Biol. 2021

[9]
Glycoproteomic analysis of the changes in protein N-glycosylation during neuronal differentiation in human-induced pluripotent stem cells and derived neuronal cells.

Sci Rep. 2021-5-27

[10]
Recent Advances in Software Tools for More Generic and Precise Intact Glycopeptide Analysis.

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