Campbell Matthew P, Royle Louise, Radcliffe Catherine M, Dwek Raymond A, Rudd Pauline M
Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Bioinformatics. 2008 May 1;24(9):1214-6. doi: 10.1093/bioinformatics/btn090. Epub 2008 Mar 14.
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.
强大的高效液相色谱(HPLC)技术的发展不断改进从糖蛋白释放的聚糖结构的详细分析和测序。在此,我们展示了一个数据库(GlycoBase)和分析工具(autoGU),以协助HPLC-聚糖图谱的解释和归属。GlycoBase是一个关系数据库,包含超过350种2-AB标记的N-聚糖结构的HPLC洗脱位置以及外切糖苷酶消化的预测产物。AutoGU为每个积分的HPLC峰指定临时结构,并且当与外切糖苷酶消化结合使用时,根据足迹数据逐步自动指定每个结构。这些工具具有很大的潜力,有助于基础研究以及对从糖蛋白释放的低浓度聚糖进行定量高通量分析。