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串联质谱分析法的替代方法:用于肽段鉴定的等电点和精确质量

An alternative to tandem mass spectrometry: isoelectric point and accurate mass for the identification of peptides.

作者信息

Cargile Benjamin J, Stephenson James L

机构信息

Mass Spectrometry Research Group, Research Triangle Institute, 3040 Cornwallis Road, Research Triangle Park, North Carolina 27709-2194, USA.

出版信息

Anal Chem. 2004 Jan 15;76(2):267-75. doi: 10.1021/ac0352070.

DOI:10.1021/ac0352070
PMID:14719870
Abstract

The traditional approach to the identification of peptides in complex biological samples integrally involves the use of tandem mass spectrometry to generate a unique fragmentation pattern in order to accurately assign its identity to a particular protein. In this article we describe the theoretical basis for a new paradigm for the identification of peptides and proteins. This methodology employs the use of accurate mass and peptide isoelectric point (pI) as identification criteria, and represents a change in focus from current tandem mass spectrometry-dominated approaches. A mathematical derivation of the false positive rate associated with accurate mass and pI measurements is presented to demonstrate the utility of the technique. The equations for calculation of the experimental false positive rate allow for the determination of the validity of the data. The false positive rate issue examined in detail here is not restricted to accurate mass-based approaches, but also has application to the tandem mass spectrometry community as well. The theoretical proteomes of Escherichia coli and Rattus norvegicus are used to evaluate the efficacy of this approach. The power of the technique is demonstrated by analyzing a series of peptides with the same monoisotopic masses but with differing isoelectric points. Finally, the speed of algorithm when combined with the experimental peptide analysis has the potential to rapidly accelerate the protein identification process.

摘要

在复杂生物样品中鉴定肽段的传统方法整体上涉及使用串联质谱来生成独特的碎片模式,以便将其身份准确地归属于特定蛋白质。在本文中,我们描述了一种鉴定肽段和蛋白质的新范式的理论基础。该方法采用精确质量和肽段等电点(pI)作为鉴定标准,代表了从当前以串联质谱为主导的方法的重点转变。本文给出了与精确质量和pI测量相关的假阳性率的数学推导,以证明该技术的实用性。计算实验假阳性率的方程式可用于确定数据的有效性。此处详细研究的假阳性率问题不仅限于基于精确质量的方法,在串联质谱领域也有应用。利用大肠杆菌和褐家鼠的理论蛋白质组来评估该方法的有效性。通过分析一系列具有相同单同位素质量但等电点不同的肽段,证明了该技术的强大功能。最后,该算法与实验性肽段分析相结合时的速度有可能快速加速蛋白质鉴定过程。

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