Literature DB >> 15961488

Automated interpretation of MS/MS spectra of oligosaccharides.

Haixu Tang1, Yehia Mechref, Milos V Novotny.   

Abstract

MOTIVATION: The emerging glycomics and glycoproteomics projects aim to characterize all forms of glycoproteins in different tissues and organisms. Tandem mass spectrometry (MS/MS) is the key experimental methodology for high-throughput glycan identification and characterization. Fragmentation of glycans from high energy collision-induced dissociation generates ions from glycosidic as well as internal cleavages. The cross-ring ions resulting from internal cleavages provide additional information that is important to reveal the type of linkage between monosaccharides. This information, however, is not incorporated into the current programs for analyzing glycan mass spectra. As a result, they can rarely distinguish from the mass spectra isomeric oligosaccharides, which have the same saccharide composition but different types of sequences, branches or linkages.
RESULTS: In this paper, we describe a novel algorithm for glycan characterization using MS/MS. This algorithm consists of three steps. First, we develop a scoring scheme to identify potential bond linkages between monosaccharides, based on the appearance pattern of cross-ring ions. Next, we use a dynamic programming algorithm to determine the most probable oligosaccharide structures from the mass spectrum. Finally, we re-evaluate these oligosaccharide structures, taking into account the double fragmentation ions. We also show the preliminary results of testing our algorithm on several MS/MS spectra of oligosaccharides. AVAILABILITY: The program GLYCH is available upon request from the authors.

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Year:  2005        PMID: 15961488      PMCID: PMC1513159          DOI: 10.1093/bioinformatics/bti1038

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

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Authors:  V Dancík; T A Addona; K R Clauser; J E Vath; P A Pevzner
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2.  STAT: a saccharide topology analysis tool used in combination with tandem mass spectrometry.

Authors:  S P Gaucher; J Morrow; J A Leary
Journal:  Anal Chem       Date:  2000-06-01       Impact factor: 6.986

3.  A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

Authors:  T Chen; M Y Kao; M Tepel; J Rush; G M Church
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4.  GlycoSuiteDB: a curated relational database of glycoprotein glycan structures and their biological sources. 2003 update.

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  Prediction of low-energy collision-induced dissociation spectra of peptides.

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Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

6.  Shotgun protein sequencing by tandem mass spectra assembly.

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7.  Mass spectrometric mapping and sequencing of N-linked oligosaccharides derived from submicrogram amounts of glycoproteins.

Authors:  Y Mechref; M V Novotny
Journal:  Anal Chem       Date:  1998-02-01       Impact factor: 6.986

Review 8.  Biological consequences of overexpressing or eliminating N-acetylglucosaminyltransferase-TIII in the mouse.

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Journal:  Biochim Biophys Acta       Date:  2002-12-19

9.  Bioinformatics for glycomics: status, methods, requirements and perspectives.

Authors:  Claus-Wilhelm von der Lieth; Andreas Bohne-Lang; Klaus Karl Lohmann; Martin Frank
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10.  A mutation in human CMP-sialic acid hydroxylase occurred after the Homo-Pan divergence.

Authors:  H H Chou; H Takematsu; S Diaz; J Iber; E Nickerson; K L Wright; E A Muchmore; D L Nelson; S T Warren; A Varki
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  29 in total

Review 1.  New hyphenated methodologies in high-sensitivity glycoprotein analysis.

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Review 2.  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

3.  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

Review 4.  Algorithms and design strategies towards automated glycoproteomics analysis.

Authors:  Han Hu; Kshitij Khatri; Joseph Zaia
Journal:  Mass Spectrom Rev       Date:  2016-01-04       Impact factor: 10.946

Review 5.  Software for automated interpretation of mass spectrometry data from glycans and glycopeptides.

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6.  Identification and accurate quantitation of biological oligosaccharide mixtures.

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7.  Glycan family analysis for deducing N-glycan topology from single MS.

Authors:  David Goldberg; Marshall Bern; Simon J North; Stuart M Haslam; Anne Dell
Journal:  Bioinformatics       Date:  2008-12-10       Impact factor: 6.937

Review 8.  Sweetening the pot: adding glycosylation to the biomarker discovery equation.

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Journal:  Clin Chem       Date:  2009-12-03       Impact factor: 8.327

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

10.  Structural feature ions for distinguishing N- and O-linked glycan isomers by LC-ESI-IT MS/MS.

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Journal:  J Am Soc Mass Spectrom       Date:  2013-04-20       Impact factor: 3.109

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