Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry

Bioinformatics

Volumn 29, Issue 13, 2013, Pages 1706-1707

  Yu, Chuan Yih ^a   Mayampurath, Anoop ^a   Hu, Yunli ^b   Zhou, Shiyue ^b   Mechref, Yehia ^b   Tang, Haixu ^a  

^a INDIANA UNIVERSITY   (United States)

^b TEXAS TECH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLYCOPROTEIN; POLYSACCHARIDE;

ARTICLE; CHEMISTRY; COMPUTER PROGRAM; GLYCOBIOLOGY; GLYCOSYLATION; HUMAN; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METHODOLOGY; MOLECULAR GENETICS; PROTEIN PROCESSING; TUMOR CELL LINE; PROCEDURES;

CELL LINE, TUMOR; CHROMATOGRAPHY, LIQUID; GLYCOMICS; GLYCOPROTEINS; GLYCOSYLATION; HUMANS; MASS SPECTROMETRY; MOLECULAR SEQUENCE ANNOTATION; POLYSACCHARIDES; PROTEIN PROCESSING, POST-TRANSLATIONAL; SOFTWARE;

EID: 84879968670     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt190     Document Type: Conference Paper

References (7)

1. Ceroni, A. et al. (2008) GlycoWorkbench: A tool for the computer-assisted annotation of mass spectra of glycans. J. Proteome Res., 7, 1650-1659.
2. de Leoz, M.L. et al. (2011) High-mannose glycans are elevated during breast cancer progression. Mol. Cell Proteomics, 10, M110.002717.
3. Goldberg, D. et al. (2005) Automatic annotation of matrix-assisted laser desorption/ionization N-glycan spectra. Proteomics, 5, 865-875.
4. Hu, Y. and Mechref, Y. (2012) Comparing MALDI-MS, RP-LC-MALDI-MS and RP-LC-ESI-MS glycomic profiles of permethylated N-glycans derived from model glycoproteins and human blood serum. Electrophoresis, 33, 1768-1777.
5. Jaitly, N. et al. (2009) Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. BMC Bioinformatics, 10, 87.
6. Krambeck, F.J. and Betenbaugh, M.J. (2005) A mathematical model of N-linked glycosylation. Biotechnol. Bioeng., 92, 711-728.
7. Maxwell, E. et al. (2012) GlycReSoft: A software package for automated recognition of Glycans from LC/MS Data. PLoS One, 7, e45474.