Literature DB >> 17348632

Simplification of mass spectral analysis of acidic glycopeptides using GlycoPep ID.

Janet Irungu1, Eden P Go, Dilusha S Dalpathado, Heather Desaire.   

Abstract

Mass spectral analysis is an increasingly common method used to characterize glycoproteins. When more than one glycosylation site is present on a protein, obtaining MS data of glycopeptides is a highly effective way of obtaining glycosylation information because this approach can be used to identify not only what the carbohydrates are but also at which glycosylation site they are attached. Unfortunately, this is not yet a routine analytical approach, in part because data analysis can be quite challenging. We are developing strategies to simplify this analysis. Presented herein is a novel mass spectrometry technique that identifies the peptide moiety of either sulfated, sialylated, or both sialylated and sulfated glycopeptides. This technique correlates product ions in collision-induced dissociation (CID) experiments of suspected glycopeptides to a peptide composition using a newly developed web-based tool, GlycoPep ID. After identifying the peptide portion of glycopeptides with GlycoPep ID, the process of assigning the rest of the glycopeptide composition to the MS data is greatly facilitated because the "unknown" portion of the mass assignment that remains can be directly attributed to the carbohydrate component. Several examples of the utility and reliability of this method are presented herein.

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Year:  2007        PMID: 17348632     DOI: 10.1021/ac062100e

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  30 in total

Review 1.  Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships.

Authors:  John F Cipollo; Lisa M Parsons
Journal:  Mass Spectrom Rev       Date:  2020-04-29       Impact factor: 10.946

2.  Label-free quantitation: a new glycoproteomics approach.

Authors:  Kathryn R Rebecchi; Jamie L Wenke; Eden P Go; Heather Desaire
Journal:  J Am Soc Mass Spectrom       Date:  2009-03-09       Impact factor: 3.109

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

4.  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

5.  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

6.  Comparison of HPLC/ESI-FTICR MS versus MALDI-TOF/TOF MS for glycopeptide analysis of a highly glycosylated HIV envelope glycoprotein.

Authors:  Janet Irungu; Eden P Go; Ying Zhang; Dilusha S Dalpathado; Hua-Xin Liao; Barton F Haynes; Heather Desaire
Journal:  J Am Soc Mass Spectrom       Date:  2008-05-24       Impact factor: 3.109

Review 7.  Bioinformatics and molecular modeling in glycobiology.

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

8.  SweetSEQer, simple de novo filtering and annotation of glycoconjugate mass spectra.

Authors:  Oliver Serang; John W Froehlich; Jan Muntel; Gary McDowell; Hanno Steen; Richard S Lee; Judith A Steen
Journal:  Mol Cell Proteomics       Date:  2013-02-26       Impact factor: 5.911

9.  Post-translational modifications of recombinant human lysyl oxidase-like 2 (rhLOXL2) secreted from Drosophila S2 cells.

Authors:  Li Xu; Eden P Go; Joel Finney; HeeJung Moon; Mason Lantz; Kathryn Rebecchi; Heather Desaire; Minae Mure
Journal:  J Biol Chem       Date:  2013-01-14       Impact factor: 5.157

10.  Glycosylation site-specific analysis of clade C HIV-1 envelope proteins.

Authors:  Eden P Go; Qing Chang; Hua-Xin Liao; Laura L Sutherland; S Munir Alam; Barton F Haynes; Heather Desaire
Journal:  J Proteome Res       Date:  2009-09       Impact factor: 4.466

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