Selenium-based metabolic oligosaccharide engineering strategy for quantitative glycan detection

基于硒的代谢寡糖工程策略用于定量聚糖检测

阅读:3
作者:Xiao Tian ,Lingna Zheng ,Changjiang Wang ,Yida Han ,Yujie Li ,Tongxiao Cui ,Jialin Liu ,Chuanming Liu ,Guogeng Jia ,Lujie Yang ,Yi Hsu ,Chen Zeng ,Lijun Ding ,Chu Wang ,Bo Cheng ,Meng Wang ,Ran Xie

Abstract

Metabolic oligosaccharide engineering (MOE) is a classical chemical approach to perturb, profile and perceive glycans in physiological systems, but probes upon bioorthogonal reaction require accessibility and the background signal readout makes it challenging to achieve glycan quantification. Here we develop SeMOE, a selenium-based metabolic oligosaccharide engineering strategy that concisely combines elemental analysis and MOE,enabling the mass spectrometric imaging of glycome. We also demonstrate that the new-to-nature SeMOE probes allow for detection, quantitative measurement and visualization of glycans in diverse biological contexts. We also show that chemical reporters on conventional MOE can be integrated into a bifunctional SeMOE probe to provide multimodality signal readouts. SeMOE thus provides a convenient and simplified method to explore the glyco-world.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。