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基于质谱的蛋白质组学在神经疾病生物标志物发现中的应用。

Application of mass spectrometry-based proteomics for biomarker discovery in neurological disorders.

作者信息

Venugopal Abhilash, Chaerkady Raghothama, Pandey Akhilesh

机构信息

Institute of Bioinformatics, Bangalore 560 066, India.

出版信息

Ann Indian Acad Neurol. 2009 Jan;12(1):3-11. doi: 10.4103/0972-2327.48845.

Abstract

Mass spectrometry-based quantitative proteomics has emerged as a powerful approach that has the potential to accelerate biomarker discovery, both for diagnostic as well as therapeutic purposes. Proteomics has traditionally been synonymous with 2D gels but is increasingly shifting to the use of gel-free systems and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Quantitative proteomic approaches have already been applied to investigate various neurological disorders, especially in the context of identifying biomarkers from cerebrospinal fluid and serum. This review highlights the scope of different applications of quantitative proteomics in understanding neurological disorders with special emphasis on biomarker discovery.

摘要

基于质谱的定量蛋白质组学已成为一种强大的方法,有潜力加速生物标志物的发现,用于诊断和治疗目的。传统上,蛋白质组学一直与二维凝胶同义,但现在越来越多地转向使用无凝胶系统以及液相色谱与串联质谱联用(LC-MS/MS)。定量蛋白质组学方法已被应用于研究各种神经系统疾病,特别是在从脑脊液和血清中鉴定生物标志物的背景下。本综述重点介绍了定量蛋白质组学在理解神经系统疾病中的不同应用范围,特别强调了生物标志物的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d36/2811975/9324725c40ca/AIAN-12-3-g001.jpg

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