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用于自身免疫研究的蛋白质组学工具箱。

Proteomic toolbox for autoimmunity research.

作者信息

Wu Tianfu, Mohan Chandra

机构信息

The Department of Internal Medicine (Rheumatology), University of Texas Southwestern Medical School, Dallas, TX 75390, USA.

出版信息

Autoimmun Rev. 2009 Jun;8(7):595-8. doi: 10.1016/j.autrev.2009.01.019. Epub 2009 Feb 9.

Abstract

Autoimmune diseases are genetically complex and poorly understood, and may lead to clinically severe consequences including end-organ damage. Given this scenario, early biomarker discovery is becoming increasingly important for early diagnosis and treatment in these diseases. Among the different approaches tried, the application of proteomic analysis of body fluids has great potential as a non-invasive tool for early diagnosis in many different disease settings. During the past 10 years, proteomics-based approaches have made steady inroads into the study of various autoimmune diseases. In this review, we summarize the highlights of various traditional as well as novel proteomic methods, including 2D-MS/MS, multi-dimensional HPLC-MS/MS, CE-MS/MS, SELDI-TOF-MS/MS, iTRAQ and a variety of targeted antibody-based protein arrays, which have been particularly informative in the field of autoimmunity.

摘要

自身免疫性疾病具有遗传复杂性且了解甚少,可能导致包括终末器官损伤在内的临床严重后果。鉴于这种情况,早期生物标志物的发现对于这些疾病的早期诊断和治疗变得越来越重要。在尝试的不同方法中,体液蛋白质组分析作为一种在许多不同疾病背景下用于早期诊断的非侵入性工具具有巨大潜力。在过去10年中,基于蛋白质组学的方法已稳步进入各种自身免疫性疾病的研究。在本综述中,我们总结了各种传统以及新型蛋白质组学方法的亮点,包括二维质谱/串联质谱、多维高效液相色谱-质谱/串联质谱、毛细管电泳-质谱/串联质谱、表面增强激光解吸电离飞行时间质谱/串联质谱、同位素标记相对和绝对定量以及各种基于靶向抗体的蛋白质阵列,这些方法在自身免疫领域特别有价值。

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