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针对七种蛋白质丰度的日志进行疾病应用的血浆蛋白质组学挖掘。

Mining the plasma proteome for disease applications across seven logs of protein abundance.

机构信息

Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.

出版信息

J Proteome Res. 2011 Jan 7;10(1):46-50. doi: 10.1021/pr101052y. Epub 2010 Nov 29.

DOI:10.1021/pr101052y
PMID:21062094
Abstract

The current state of proteomics technologies has sufficiently advanced to allow in-depth quantitative analysis of the plasma proteome and development of a related knowledge base. Here we review approaches that have been applied to increase depth of analysis by mass spectrometry given the substantial complexity of plasma and the vast dynamic range of protein abundance. Fractionation strategies resulting in reduced complexity of individual fractions followed by mass spectrometry analysis of digests from individual fractions has allowed well in excess of 1000 proteins to be identified and quantified with high confidence that span more than seven logs of protein abundance. Such depth of analysis has contributed to elucidation of plasma proteome variation in health and of protein changes associated with disease states.

摘要

蛋白质组学技术的现状已经足够先进,可以对血浆蛋白质组进行深入的定量分析,并开发相关的知识库。在这里,我们回顾了已经应用于提高质谱分析深度的方法,因为血浆的复杂性很大,蛋白质丰度的动态范围也很广。分馏策略可降低各个馏分的复杂性,然后对各个馏分的消化物进行质谱分析,从而能够以超过 7 个数量级的蛋白质丰度高度置信地鉴定和定量超过 1000 种蛋白质。这种深度分析有助于阐明健康状态下的血浆蛋白质组变化,以及与疾病状态相关的蛋白质变化。

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