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使用无标记蛋白质组学通过质谱进行定量蛋白质谱分析。

Quantitative protein profiling by mass spectrometry using label-free proteomics.

作者信息

Haqqani Arsalan S, Kelly John F, Stanimirovic Danica B

机构信息

Institute for Biological Sciences, National Research Council, Ottawa, Ontario, Canada.

出版信息

Methods Mol Biol. 2008;439:241-56. doi: 10.1007/978-1-59745-188-8_17.

Abstract

"Gel-free," or mass spectrometry (MS)-based, proteomics techniques are emerging as the methods of choice for quantitatively comparing proteins levels among biological proteomes, since they are more sensitive and reproducible than two dimensional gel (2-DE)-based methods. Currently, the MS-based methods utilize mainly stable isotope labels (e.g., ICAT, iTRAQ) that enable easy identification of differentially expressed proteins in two or more samples. "Label-free" MS-based methods would alleviate several limitations of the labeling methods, provided that relative quantitative profiling of proteins among multiple MS runs is achievable. However, comparisons of multiple MS runs of highly complex biological samples are very challenging and time consuming. To alleviate this problem, several laboratories and MS vendors have developed software for computer-assisted comparisons of multiple label-free MS runs to allow profiling of differentially expressed proteins. In this chapter, we describe the use of custom-developed MatchRx software in quantitative comparison of multiple label-free MS runs. We also describe details of sample preparation, fractionation, statistical analysis, and protein database searching for label-free comparative quantitative proteomics, as well as the application of a "targeted" MS approach, which includes quantification of the samples using MS followed by selective identification of only the differentially expressed peptides using tandem MS (MS/MS).

摘要

“无凝胶”或基于质谱(MS)的蛋白质组学技术正成为定量比较生物蛋白质组中蛋白质水平的首选方法,因为它们比基于二维凝胶(2-DE)的方法更灵敏且可重复。目前,基于MS的方法主要利用稳定同位素标记(如ICAT、iTRAQ),这使得能够轻松鉴定两个或更多样品中差异表达的蛋白质。“无标记”基于MS的方法若能实现多个MS运行间蛋白质的相对定量分析,将可缓解标记方法的若干局限性。然而,对高度复杂生物样品的多个MS运行进行比较极具挑战性且耗时。为缓解此问题,多个实验室和MS供应商已开发出用于计算机辅助比较多个无标记MS运行的软件,以实现差异表达蛋白质的分析。在本章中,我们描述了在多个无标记MS运行的定量比较中使用定制开发的MatchRx软件的情况。我们还描述了无标记比较定量蛋白质组学的样品制备、分级分离、统计分析和蛋白质数据库搜索的细节,以及“靶向”MS方法的应用,该方法包括使用MS对样品进行定量,随后仅使用串联质谱(MS/MS)选择性鉴定差异表达的肽段。

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