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通过综合策略分析人血清中的 O-GalNAc 糖基化蛋白质组学。

Proteomics Analysis of O-GalNAc Glycosylation in Human Serum by an Integrated Strategy.

机构信息

CAS Key Lab of Separation Science for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian 116023, China.

出版信息

Anal Chem. 2017 Feb 7;89(3):1469-1476. doi: 10.1021/acs.analchem.6b02887. Epub 2017 Jan 11.

Abstract

The diversity of O-linked glycan structures has drawn increasing attention due to its vital biological roles. However, intact O-glycopeptides with different glycans are typically not well elucidated using the current methods. In this work, an integrated strategy was developed for comprehensive analysis of O-GalNAc glycosylation by combining hydrophilic interaction chromatography (HILIC) tip enrichment, beam-type collision induced decomposition (beam-CID) detection, and in silico deglycosylation method for spectra interpretation. In this strategy, the intact O-GalNAc glycopeptides were selectively enriched and the original spectra obtained by time-of-flight (TOF)-CID were preprocessed using an in silico deglycosylation method, enabling direct searching without setting multiple glycosylation modifications, which could significantly decrease the search space. This strategy was applied to analyze the O-GalNAc glycoproteome of human serum, leading to identification of 407 intact O-GalNAc glycopeptides from 93 glycoproteins. About 81% of the glycopeptides contained at least one sialic acid, which could reveal the microheterogeneity of O-GalNAc glycosylation. Up until now, this is the largest data set of intact O-GalNAc glycoforms from complex biological samples at the proteome level. Furthermore, this method is readily applicable to study O-glycoform heterogeneity in other complex biological systems.

摘要

由于其重要的生物学功能,O-连接糖链结构的多样性引起了越来越多的关注。然而,目前的方法通常无法很好地阐明具有不同聚糖的完整 O-糖肽。在这项工作中,我们开发了一种综合策略,通过结合亲水作用色谱 (HILIC) 尖端富集、束流型碰撞诱导分解 (beam-CID) 检测以及用于谱图解释的计算糖基化方法,全面分析 O-GalNAc 糖基化。在该策略中,选择性富集完整的 O-GalNAc 糖肽,并使用计算糖基化方法对通过飞行时间 (TOF)-CID 获得的原始谱图进行预处理,无需设置多个糖基化修饰即可直接搜索,这可以显著减少搜索空间。该策略应用于分析人血清中的 O-GalNAc 糖蛋白组,从 93 种糖蛋白中鉴定出 407 种完整的 O-GalNAc 糖肽。约 81%的糖肽至少含有一个唾液酸,这可以揭示 O-GalNAc 糖基化的微观异质性。到目前为止,这是在蛋白质组水平上从复杂生物样品中获得的最大完整 O-GalNAc 糖型数据集。此外,该方法易于应用于研究其他复杂生物系统中的 O-糖型异质性。

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