Literature DB >> 18803335

GlycoMiner: a new software tool to elucidate glycopeptide composition.

Oliver Ozohanics1, Judit Krenyacz, Krisztina Ludányi, Ferenc Pollreisz, Károly Vékey, László Drahos.   

Abstract

New computer software, GlycoMiner, has been developed to automatically identify tandem (MS/MS) spectra obtained in liquid chromatography/mass spectrometry (LC/MS) runs which correspond to N-glycopeptides. The program complements conventional proteomics analysis, and can be used in a high-throughput environment. The program interprets the spectra and determines the structure of the corresponding glycopeptides. GlycoMiner runs under Windows, can process spectra obtained on various instruments, and can be downloaded from our website (w3.chemres.hu/ms/glycominer). The algorithm works similarly to a human expert; evaluates the low mass oxonium ions; deduces oligosaccharide losses from the protonated molecule; and identifies the mass of the peptide residue. The program has been tested on tryptic digests of two glycopeptides: AGP (which has five different N-glycosylation sites) and transferrin (with two N-glycosylation sites). Results have been evaluated both manually and by GlycoMiner. Out of 3132 MS/MS spectra 338 were found to correspond to glycopeptides; identification by GlycoMiner showed a 0.1% false positive and 0.1% false negative rate. From these it was possible to identify 196 glycan structures manually; GlycoMiner correctly identified all of these, with no false positives. The rest were low quality spectra, not suitable for structure assignment.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18803335     DOI: 10.1002/rcm.3731

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  28 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

Review 2.  Glycopeptide analysis, recent developments and applications.

Authors:  Heather Desaire
Journal:  Mol Cell Proteomics       Date:  2013-02-06       Impact factor: 5.911

Review 3.  Automated glycopeptide analysis--review of current state and future directions.

Authors:  David C Dallas; William F Martin; Serenus Hua; J Bruce German
Journal:  Brief Bioinform       Date:  2012-07-27       Impact factor: 11.622

Review 4.  High-sensitivity analytical approaches for the structural characterization of glycoproteins.

Authors:  William R Alley; Benjamin F Mann; Milos V Novotny
Journal:  Chem Rev       Date:  2013-03-27       Impact factor: 60.622

5.  XGlycScan: An Open-source Software For N-linked Glycosite Assignment, Quantification and Quality Assessment of Data from Mass Spectrometry-based Glycoproteomic Analysis.

Authors:  Paul Aiyetan; Bai Zhang; Zhen Zhang; Hui Zhang
Journal:  MOJ Proteom Bioinform       Date:  2014

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.  Discovery of O-GlcNAc-6-phosphate modified proteins in large-scale phosphoproteomics data.

Authors:  Hannes Hahne; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2012-07-23       Impact factor: 5.911

Review 8.  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

Review 9.  Bioinformatics and molecular modeling in glycobiology.

Authors:  Martin Frank; Siegfried Schloissnig
Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

Review 10.  Determination of glycosylation sites and site-specific heterogeneity in glycoproteins.

Authors:  Hyun Joo An; John W Froehlich; Carlito B Lebrilla
Journal:  Curr Opin Chem Biol       Date:  2009-08-21       Impact factor: 8.822

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.