GlycoBase and autoGU: tools for HPLC-based glycan analysis

The development of robust high-performance liquid chromatography (HPLC) technologies continues to improve the detailed analysis and sequencing of glycan structures released from glycoproteins. Here, we present a database (GlycoBase) and analytical tool (autoGU) to assist the interpretation and assig...

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Bibliographic Details
Published in:Bioinformatics 2008-05, Vol.24 (9), p.1214-1216
Main Authors: Campbell, Matthew P., Royle, Louise, Radcliffe, Catherine M., Dwek, Raymond A., Rudd, Pauline M.
Format: Article
Language:English
Subjects:
Algorithms
Biological and medical sciences
Chromatography, High Pressure Liquid - methods
Computer Simulation
Fundamental and applied biological sciences. Psychology
General aspects
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Models, Chemical
Polysaccharides - analysis
Polysaccharides - chemistry
Software
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Summary:The development of robust high-performance liquid chromatography (HPLC) technologies continues to improve the detailed analysis and sequencing of glycan structures released from glycoproteins. Here, we present a database (GlycoBase) and analytical tool (autoGU) to assist the interpretation and assignment of HPLC-glycan profiles. GlycoBase is a relational database which contains the HPLC elution positions for over 350 2-AB labelled N-glycan structures together with predicted products of exoglycosidase digestions. AutoGU assigns provisional structures to each integrated HPLC peak and, when used in combination with exoglycosidase digestions, progressively assigns each structure automatically based on the footprint data. These tools are potentially very promising and facilitate basic research as well as the quantitative high-throughput analysis of low concentrations of glycans released from glycoproteins. Availability: http://glycobase.ucd.ie Contact: matthew.campbell@nibrt.ie
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btn090