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.
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.
Authors: Catherine A Cooper; Hiren J Joshi; Mathew J Harrison; Marc R Wilkins; Nicolle H Packer Journal: Nucleic Acids Res Date: 2003-01-01 Impact factor: 16.971
Authors: Claus-Wilhelm von der Lieth; Andreas Bohne-Lang; Klaus Karl Lohmann; Martin Frank Journal: Brief Bioinform Date: 2004-06 Impact factor: 11.622
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 Journal: Proc Natl Acad Sci U S A Date: 1998-09-29 Impact factor: 11.205
Authors: John S Strum; Jaehan Kim; Shuai Wu; Maria Lorna A De Leoz; Kyle Peacock; Rudolf Grimm; J Bruce German; David A Mills; Carlito B Lebrilla Journal: Anal Chem Date: 2012-08-29 Impact factor: 6.986
Authors: Penelope M Drake; Wonryeon Cho; Bensheng Li; Akraporn Prakobphol; Eric Johansen; N Leigh Anderson; Fred E Regnier; Bradford W Gibson; Susan J Fisher Journal: Clin Chem Date: 2009-12-03 Impact factor: 8.327
Authors: Arun V Everest-Dass; Jodie L Abrahams; Daniel Kolarich; Nicolle H Packer; Matthew P Campbell Journal: J Am Soc Mass Spectrom Date: 2013-04-20 Impact factor: 3.109