GlycoBase和autoGU：用于解释高效液相色谱-聚糖数据的资源。

GlycoBase and autoGU: resources for interpreting HPLC-glycan data.

作者信息

Campbell Matthew P, Royle Lousie, Rudd Pauline M

机构信息

Biomolecular Frontiers Research Centre, Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, 2109, Australia,

出版信息

Methods Mol Biol. 2015;1273:17-28. doi: 10.1007/978-1-4939-2343-4_2.

DOI:10.1007/978-1-4939-2343-4_2

PMID:25753700

Abstract

The biological relevance of protein glycosylation has made glycomics, the comprehensive study to identify all glycans in an organism, indispensable in many research fields. Determining the structure and functional relationship of glycoproteins requires the comprehensive characterization of glycan structures by a range of analytical methods. High performance liquid chromatography (HPLC) is a well-established technology commonly used for the complete structural elucidation of N- and O-linked glycans; however, the analysis of data is a major bottleneck and robust bioinformatic solutions are required. This chapter describes the availability of databases and tools, GlycoBase and autoGU developed in conjunction with the EUROCarbDB initiative, to assist the interpretation of HPLC-glycan data collections.

摘要

蛋白质糖基化的生物学相关性使得糖组学（即对生物体中所有聚糖进行鉴定的综合研究）在许多研究领域中不可或缺。确定糖蛋白的结构与功能关系需要通过一系列分析方法对聚糖结构进行全面表征。高效液相色谱法（HPLC）是一种成熟的技术，常用于对N-连接和O-连接聚糖进行完整的结构解析；然而，数据分析是一个主要瓶颈，需要强大的生物信息学解决方案。本章介绍了与EUROCarbDB计划联合开发的数据库和工具GlycoBase及autoGU，以协助解释HPLC-聚糖数据集合。