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糖胺聚糖混合物的在线毛细管区带电泳负电子转移解离串联质谱分析

Online Capillary Zone Electrophoresis Negative Electron Transfer Dissociation Tandem Mass Spectrometry of Glycosaminoglycan Mixtures.

作者信息

Stickney Morgan, Sanderson Patience, Leach Franklin E, Zhang Fuming, Linhardt Robert J, Amster I Jonathan

机构信息

Department of Chemistry, University of Georgia, Athens, GA 30602.

Department of Environmental Health Science, University of Georgia, Athens, GA 30602.

出版信息

Int J Mass Spectrom. 2019 Nov;445. doi: 10.1016/j.ijms.2019.116209. Epub 2019 Aug 17.

Abstract

Glycosaminoglycans (GAGs) are important biological molecules that are highly anionic and occur in nature as complex mixtures. A platform that combines capillary zone electrophoresis (CZE) separations with mass spectrometry (MS) and gas-phase sequencing by using negative electron transfer dissociation (NETD) is shown to be efficacious for the structural analysis of GAG mixtures. CZE is a separation method well suited to the highly negatively charged nature of GAGs. NETD is an electron-based ion activation method that enables the generation of informative fragments with retention of the labile sulfate half-ester modification that determine specific GAG function. Here we combine for the first time NETD and CZE for assigning the structures of GAG oligomers present in mixtures. The speed of ion activation by NETD is found to couple well with the narrow peaks resulting from CZE migration. The platform was optimized with mixtures of GAG tetrasaccharide standards. The potential of the platform is demonstrated by the analysis of enoxaparin, a complex mixture of low molecular weight heparins, which was separated by CZE within 30 minutes and characterized by NETD MS/MS in one online experiment. 37 unique molecular compositions have been identified in enoxaparin using CZE-MS and 9 structures have been assigned with CZE-NETD-MS/MS.

摘要

糖胺聚糖(GAGs)是重要的生物分子,具有高度阴离子性,在自然界中以复杂混合物的形式存在。通过使用负电子转移解离(NETD)将毛细管区带电泳(CZE)分离与质谱(MS)及气相测序相结合的平台,已被证明对GAG混合物的结构分析有效。CZE是一种非常适合GAG高度带负电荷性质的分离方法。NETD是一种基于电子的离子活化方法,能够生成信息丰富的碎片,同时保留决定特定GAG功能的不稳定硫酸半酯修饰。在这里,我们首次将NETD和CZE结合起来,用于确定混合物中存在的GAG寡聚体的结构。发现NETD的离子活化速度与CZE迁移产生的窄峰很好地匹配。该平台用GAG四糖标准混合物进行了优化。通过对依诺肝素(一种低分子量肝素的复杂混合物)的分析证明了该平台的潜力,依诺肝素在30分钟内通过CZE分离,并在一次在线实验中通过NETD MS/MS进行了表征。使用CZE-MS在依诺肝素中鉴定出37种独特的分子组成,使用CZE-NETD-MS/MS确定了9种结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb6/7343235/697dbafddd3f/nihms-1538217-f0011.jpg

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