Suppr超能文献

系统的蛋白质糖基化分析方法:走出迷宫的路径。

A systematic approach to protein glycosylation analysis: a path through the maze.

机构信息

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

出版信息

Nat Chem Biol. 2010 Oct;6(10):713-23. doi: 10.1038/nchembio.437. Epub 2010 Sep 17.

Abstract

Protein glycosylation is an important post-translational modification. It is a feature that enhances the functional diversity of proteins and influences their biological activity. A wide range of functions for glycans have been described, from structural roles to participation in molecular trafficking, self-recognition and clearance. Understanding the basis of these functions is challenging because the biosynthetic machinery that constructs glycans executes sequential and competitive steps that result in a mixture of glycosylated variants (glycoforms) for each glycoprotein. Additionally, naturally occurring glycoproteins are often present at low levels, putting pressure on the sensitivity of the analytical technologies. No universal method for the rapid and reliable identification of glycan structure is currently available; hence, research goals must dictate the best method or combination of methods. To this end, we introduce some of the major technologies routinely used for structural N- and O-glycan analysis, describing the complementary information that each provides.

摘要

蛋白质糖基化是一种重要的翻译后修饰。它是增强蛋白质功能多样性并影响其生物活性的特征。糖链具有广泛的功能,从结构作用到参与分子运输、自我识别和清除。理解这些功能的基础具有挑战性,因为构建糖链的生物合成机制执行顺序和竞争步骤,导致每种糖蛋白都有多种糖基化变体(糖型)。此外,天然存在的糖蛋白通常含量较低,这给分析技术的灵敏度带来了压力。目前尚无通用的方法可快速可靠地鉴定糖链结构;因此,研究目标必须决定最佳方法或方法组合。为此,我们介绍了一些常用于结构 N-和 O-糖分析的主要技术,描述了每种技术提供的互补信息。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验