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血清蛋白质组多维分级分离的液相色谱-串联质谱数据的异构体分析

Isoform analysis of LC-MS/MS data from multidimensional fractionation of the serum proteome.

作者信息

Krasnoselsky Alexei L, Faca Vitor M, Pitteri Sharon J, Zhang Qing, Hanash Samir M

机构信息

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

出版信息

J Proteome Res. 2008 Jun;7(6):2546-52. doi: 10.1021/pr7007219. Epub 2008 Apr 18.

Abstract

We developed a visualization approach for the identification of protein isoforms, precursor/mature protein combinations, and fragments from LC-MS/MS analysis of multidimensional fractionation of serum and plasma proteins. We also describe a pattern recognition algorithm to automatically detect and flag potentially heterogeneous species of proteins in proteomic experiments that involve extensive fractionation and result in a large number of identified serum or plasma proteins in an experiment. Examples are given of proteins with known isoforms that validate our approach and present a subset of precursor/mature protein pairs that were detected with this approach. Potential applications include identification of differentially expressed isoforms in disease states.

摘要

我们开发了一种可视化方法,用于从血清和血浆蛋白质多维分级分离的液相色谱-串联质谱(LC-MS/MS)分析中鉴定蛋白质异构体、前体/成熟蛋白组合以及片段。我们还描述了一种模式识别算法,用于在蛋白质组学实验中自动检测并标记潜在的蛋白质异质物种,这些实验涉及广泛的分级分离,并且在一次实验中会产生大量已鉴定的血清或血浆蛋白。文中给出了具有已知异构体的蛋白质示例,这些示例验证了我们的方法,并展示了用该方法检测到的前体/成熟蛋白对的一个子集。潜在应用包括鉴定疾病状态下差异表达的异构体。

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