丹麦哥本哈根大学Sergey Y. Vakhrushev研究小组报道了一种名为Glyco-DIA的方法，可以对O-糖蛋白进行定量分析。这一研究成果于2019年9月发表在国际学术期刊《自然—方法学》上。

Glyco-DIA通过液相色谱与串联质谱O-糖蛋白质组学策略相结合，使用数据独立采集（DIA）模式直接分析O-糖蛋白。该方法能够在蛋白质组范围内表征糖肽和O-聚糖结构，并定量化学计量（尽管它不允许直接明确的糖苷鉴定）。该方法依赖于O-糖肽的光谱库; Glyco-DIA文库包含从人细胞系和人血清中获得的子文库，目前它包括2076个O-糖蛋白（11452个独特的糖肽序列）和5个最常见的core1 O-聚糖结构。

将Glyco-DIA文库应用于人血清而不富集糖肽，使研究人员能够在SingleShot分析中鉴定和定量269种不同的糖肽序列，其中含有来自159种糖蛋白的多达5种不同core1 O-聚糖。

附：英文原文

Title: Glyco-DIA: a method for quantitative O -glycoproteomics with in silico-boosted glycopeptide libraries

Author: Zilu Ye, Yang Mao, Henrik Clausen, Sergey Y. Vakhrushev

Issue&Volume: Volume 16 Issue 9

Abstract: We report a liquid chromatography coupled to tandem mass spectrometry O-glycoproteomics strategy using data-independent acquisition (DIA) mode for direct analysis of O-glycoproteins. This approach enables characterization of glycopeptides and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries (though it does not allow for direct unambiguous glycosite identification). The method relies on a spectral library of O-glycopeptides; the Glyco-DIA library contains sublibraries obtained from human cell lines and human serum, and it currently covers 2,076 O-glycoproteins (11,452 unique glycopeptide sequences) and the 5 most common core1 O-glycan structures. Applying the Glyco-DIA library to human serum without enrichment for glycopeptides enabled us to identify and quantify 269 distinct glycopeptide sequences bearing up to 5 different core1 O-glycans from 159 glycoproteins in a SingleShot analysis.

DOI: 10.1038/s41592-019-0504-x

Source:https://www.nature.com/articles/s41592-019-0504-x