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蛋白质组学和N-糖蛋白质组学定量分析揭示口腔溃疡患者唾液中的异常变化。

Proteomic and N-glycoproteomic quantification reveal aberrant changes in the human saliva of oral ulcer patients.

作者信息

Zhang Ying, Wang Xi, Cui Dan, Zhu Jun

机构信息

Department of Emergency, School of Stomatology, China Medical University, Shenyang, P. R. China.

Jingjie PTM Biolab (Hangzhou) Co. Ltd, Hangzhou, P. R. China.

出版信息

Proteomics. 2016 Dec;16(24):3173-3182. doi: 10.1002/pmic.201600127.

Abstract

Human whole saliva is a vital body fluid for studying the physiology and pathology of the oral cavity. As a powerful technique for biomarker discovery, MS-based proteomic strategies have been introduced for saliva analysis and identified hundreds of proteins and N-glycosylation sites. However, there is still a lack of quantitative analysis, which is necessary for biomarker screening and biological research. In this study, we establish an integrated workflow by the combination of stable isotope dimethyl labeling, HILIC enrichment, and high resolution MS for both quantification of the global proteome and N-glycoproteome of human saliva from oral ulcer patients. With the help of advanced bioinformatics, we comprehensively studied oral ulcers at both protein and glycoprotein scales. Bioinformatics analyses revealed that starch digestion and protein degradation activities are inhibited while the immune response is promoted in oral ulcer saliva.

摘要

人类全唾液是研究口腔生理学和病理学的重要体液。作为一种强大的生物标志物发现技术,基于质谱的蛋白质组学策略已被引入唾液分析,并鉴定出数百种蛋白质和N-糖基化位点。然而,仍然缺乏定量分析,而这对于生物标志物筛选和生物学研究是必要的。在本研究中,我们通过稳定同位素二甲基标记、亲水相互作用色谱富集和高分辨率质谱相结合,建立了一种综合工作流程,用于定量分析口腔溃疡患者唾液中的整体蛋白质组和N-糖蛋白质组。借助先进的生物信息学,我们在蛋白质和糖蛋白水平上全面研究了口腔溃疡。生物信息学分析表明,口腔溃疡唾液中淀粉消化和蛋白质降解活性受到抑制,而免疫反应则得到促进。

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