平台技术鉴定潜在疾病标志物，并确定人类血清 N-糖组的遗传性和环境决定因素。

Platform technology to identify potential disease markers and establish heritability and environmental determinants of the human serum N-glycome.

机构信息

National Institute for Bioprocessing Research and Training, Dublin-Oxford Glycobiology Laboratory, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.

出版信息

Carbohydr Res. 2010 Jul 2;345(10):1280-2. doi: 10.1016/j.carres.2010.04.012. Epub 2010 Apr 18.

DOI:10.1016/j.carres.2010.04.012

PMID:20447618

Abstract

Glycomics has been proven to be challenging when compared to genomics, transcriptomics, or proteomics. Understanding glycans is difficult as they have a non-template driven biosynthesis and their structural characterization requires highly efficient techniques. This review will describe the robotic platform developed in our laboratory for high-throughput analysis of N-glycans, and some of the advances obtained in the Glyco-biomarker field obtained in the last three years, including the first Genome-Wide Association Study showing a direct link between DNA polymorphisms and glycosylation.

摘要

糖组学与基因组学、转录组学或蛋白质组学相比，具有挑战性。由于糖链的生物合成不受模板驱动，且其结构特征需要高效的技术，因此理解糖链具有一定难度。本综述将介绍我们实验室开发的用于高通量分析 N-糖链的机器人平台，以及过去三年在糖生物标志物领域取得的一些进展，包括首次全基因组关联研究表明 DNA 多态性与糖基化之间存在直接联系。