GlycoBase and autoGU: Tools for HPLC-based glycan analysis

Matthew P. Campbell*, Louise Royle, Catherine M. Radcliffe, Raymond A. Dwek, Pauline M. Rudd

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    248 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1214-1216
    Number of pages3
    JournalBioinformatics
    Volume24
    Issue number9
    DOIs
    Publication statusPublished - May 2008

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