Literature DB >> 25113421

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

Lin He1, Lei Xin, Baozhen Shan, Gilles A Lajoie, Bin Ma.   

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 .

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Year:  2014        PMID: 25113421     DOI: 10.1021/pr401115y

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  41 in total

Review 1.  Integration of systems glycobiology with bioinformatics toolboxes, glycoinformatics resources, and glycoproteomics data.

Authors:  Gang Liu; Sriram Neelamegham
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-04-13

2.  Glycopeptide Site Heterogeneity and Structural Diversity Determined by Combined Lectin Affinity Chromatography/IMS/CID/MS Techniques.

Authors:  Feifei Zhu; Jonathan C Trinidad; David E Clemmer
Journal:  J Am Soc Mass Spectrom       Date:  2015-04-04       Impact factor: 3.109

3.  Glycoprotein Enrichment Analytical Techniques: Advantages and Disadvantages.

Authors:  R Zhu; L Zacharias; K M Wooding; W Peng; Y Mechref
Journal:  Methods Enzymol       Date:  2017-01-16       Impact factor: 1.600

4.  Use of an informed search space maximizes confidence of site-specific assignment of glycoprotein glycosylation.

Authors:  Kshitij Khatri; Joshua A Klein; Joseph Zaia
Journal:  Anal Bioanal Chem       Date:  2016-10-12       Impact factor: 4.142

Review 5.  Maturing Glycoproteomics Technologies Provide Unique Structural Insights into the N-glycoproteome and Its Regulation in Health and Disease.

Authors:  Morten Thaysen-Andersen; Nicolle H Packer; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2016-02-29       Impact factor: 5.911

6.  DecoyDeveloper: An On-Demand, De Novo Decoy Glycopeptide Generator.

Authors:  Joshua T Shipman; Xiaomeng Su; David Hua; Heather Desaire
Journal:  J Proteome Res       Date:  2019-06-03       Impact factor: 4.466

7.  Two New Tools for Glycopeptide Analysis Researchers: A Glycopeptide Decoy Generator and a Large Data Set of Assigned CID Spectra of Glycopeptides.

Authors:  Jude C Lakbub; Xiaomeng Su; Zhikai Zhu; Milani W Patabandige; David Hua; Eden P Go; Heather Desaire
Journal:  J Proteome Res       Date:  2017-07-25       Impact factor: 4.466

Review 8.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

Review 9.  Recent advances in mass spectrometric analysis of glycoproteins.

Authors:  Alireza Banazadeh; Lucas Veillon; Kerry M Wooding; Masoud Zabet-Moghaddam; Yehia Mechref
Journal:  Electrophoresis       Date:  2016-12-15       Impact factor: 3.535

Review 10.  A review of methods for interpretation of glycopeptide tandem mass spectral data.

Authors:  Han Hu; Kshitij Khatri; Joshua Klein; Nancy Leymarie; Joseph Zaia
Journal:  Glycoconj J       Date:  2015-11-26       Impact factor: 2.916

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