Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures.

ABSTRACT: Site-specific glycosylation (SSG) of glycoproteins remains a considerable challenge and limits further progress in the areas of proteomics and glycomics. Effective methods require new approaches in sample preparation, detection, and data analysis. While the field has advanced in sample preparation and detection, automated data analysis remains an important goal. A new bioinformatics approach implemented in software called GP Finder automatically distinguishes correct assignments from random matches and complements experimental techniques that are optimal for glycopeptides, including nonspecific proteolysis and high mass resolution liquid chromatography/tandem mass spectrometry (LC/MS/MS). SSG for multiple N- and O-glycosylation sites, including extensive glycan heterogeneity, was annotated

SUBMITTER: Strum JS 

PROVIDER: S-EPMC3692395 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature