title: Automated interpretation of MS/MS spectra of oligosaccharides.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The program GLYCH is available upon request from the authors.
authors.affiliation: School of Informatics, Indiana University Bloomington, IN, USA. hatang@indiana.edu
authors.forename: Haixu
authors.initials: H
authors.lastname: Tang
authors.forename: Yehia
authors.initials: Y
authors.lastname: Mechref
authors.forename: Milos V
authors.initials: MV
authors.lastname: Novotny
mesh_terms: D000465:Algorithms; D000818:Animals; D001331:Automation; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D006023:Glycoproteins / Q000737:chemistry; D007477:Ions; D013058:Mass Spectrometry / Q000379:methods*; D015233:Models, Statistical; D009005:Monosaccharides / Q000737:chemistry; D009844:Oligosaccharides / Q000737:chemistry*; D011134:Polysaccharides / Q000737:chemistry; D040901:Proteomics / Q000379:methods
chemical_list: D006023:Glycoproteins; D007477:Ions; D009005:Monosaccharides; D009844:Oligosaccharides; D011134:Polysaccharides