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利用 SWATH 技术进行 N-糖基化定量的蛋白质组分析。

Proteome-Wide Analysis of N-Glycosylation Stoichiometry Using SWATH Technology.

机构信息

University of Chinese Academy of Sciences , Beijing 100049, China.

出版信息

J Proteome Res. 2017 Oct 6;16(10):3830-3840. doi: 10.1021/acs.jproteome.7b00480. Epub 2017 Sep 15.

Abstract

N-glycosylation is a crucial post-translational modification (PTM) and plays essential roles in biological processes. Several methods have been developed for the relative quantification of N-glycosylation at the proteome scale. However, the proportion of N-glycosylated forms in a total protein population, or the "N-glycosylation stoichiometry", varies greatly among proteins or cellular states and is frequently missing due to the lack of robust technologies. In the present study, we developed a data-independent acquisition (DIA)-based strategy that enabled the in-depth measurement of N-glycosylation stoichiometry. A spectral library containing 3,509 N-glycosylated peptides and 17,525 fragment ions from human embryonic kidney cells 293 (HEK-293) cells was established from which the stoichiometries of 1,186 N-glycosites were calculated. These stoichiometric values differ greatly among different glycosites, and many glycosites tend to occur with low stoichiometry. We then investigated the N-glycosylation changes induced by tunicamycin in HEK-293 cells and by a temperature shift in Chinese hamster ovary (CHO) cells. Quantifying the proteome, N-glycoproteome, and N-glycosylation stoichiometry demonstrated that the regulation of N-glycosylation is primarily achieved by adjusting the N-glycosylation stoichiometry. In total, the stoichiometries of 2,274 glycosites were determined in the current study. Notably, our approach can be applied to other biological systems and other types of PTMs.

摘要

N-糖基化是一种重要的翻译后修饰(PTM),在生物过程中发挥着重要作用。已经开发了几种方法来相对定量蛋白质组水平的 N-糖基化。然而,在总蛋白质群体中 N-糖基化形式的比例,即“N-糖基化化学计量”,在蛋白质或细胞状态之间变化很大,并且由于缺乏强大的技术而经常丢失。在本研究中,我们开发了一种基于数据独立采集(DIA)的策略,该策略能够深入测量 N-糖基化化学计量。从人胚肾细胞 293(HEK-293)细胞中建立了包含 3509 个 N-糖基化肽和 17525 个片段离子的光谱库,从中计算了 1186 个 N-糖基化位点的化学计量。这些化学计量值在不同的糖基化位点之间差异很大,许多糖基化位点往往以低化学计量发生。然后,我们研究了衣霉素诱导的 HEK-293 细胞和温度变化诱导的中国仓鼠卵巢(CHO)细胞中的 N-糖基化变化。定量蛋白质组、N-糖蛋白组和 N-糖基化化学计量学表明,N-糖基化的调节主要通过调整 N-糖基化化学计量来实现。在本研究中,总共确定了 2274 个糖基化位点的化学计量。值得注意的是,我们的方法可以应用于其他生物系统和其他类型的 PTM。

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