• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of mass spectrometry: JMS >Universal proteolysis and MSn for N-and O-glycan branching analysis
【24h】

Universal proteolysis and MSn for N-and O-glycan branching analysis

机译：通用蛋白水解和MSn用于N和O聚糖分支分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The continually growing list of critical glycosylation-related processes has made analytical methodology for detailed glycan characterization an area of increasing interest. Glycosylation is a post translational modification of unsurpassed complexity due to the variety of compositions and linkages formed by these biopolymers. Structural characterization of glycan isomers has been achieved using ion trap mass spectrometry and MSn of released, permethylated glycans. However, N-and O-glycans require different sample preparation strategies; and release of the glycans may be hindered, result in degradation of the glycan, and/or produce limited yields of permethylated product. In the current report, we demonstrate universal proteolysis of both N-and O-linked glycoproteins to individual glycoamino acids. These samples were shown to be directly amenable to permethylation and MSn analysis for isomeric structural determination. Universal proteolysis and permethylation provides an identical sample preparation strategy for both classes of glycans that avoids potential pitfalls of commonly used release methods. This methodology should be applicable to all glycoproteins and serve as an alternative to glycan release for MSn branching analysis. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.
机译：关键糖基化相关过程的清单不断增加，已经使人们越来越关注用于详细糖基表征的分析方法。由于这些生物聚合物形成的组成和键的多样性，糖基化是翻译后修饰的一种无与伦比的复杂性。使用离子阱质谱和已释放的全甲基化聚糖的MSn可以实现聚糖异构体的结构表征。但是，N-和O-聚糖需要不同的样品前处理策略。且聚糖的释放可能受到阻碍，导致聚糖降解，和/或产生的甲基化产物收率有限。在当前的报告中，我们证明了N和O连接的糖蛋白对单个糖氨基酸的普遍蛋白水解作用。这些样品显示可直接进行过甲基化和MSn分析以确定异构体结构。通用蛋白水解和全甲基化为两种类型的聚糖提供了相同的样品制备策略，避免了常用释放方法的潜在弊端。该方法应适用于所有糖蛋白，并作为MSn分支分析中聚糖释放的替代方法。 2013年发布。本文是美国政府的工作，在美国属于公共领域。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号