Medzihradszky Katalin F, Chalkley Robert J
Mass Spectrom Rev. 2015 Jan-Feb;34(1):43-63. doi: 10.1002/mas.21406.
Mass spectrometry has become the method of choice for the qualitative and quantitative characterization of protein mixtures isolated from all kinds of living organisms. The raw data in these studies are MS/MS spectra, usually of peptides produced by proteolytic digestion of a protein. These spectra are "translated" into peptide sequences, normally with the help of various search engines. Data acquisition and interpretation have both been automated, and most researchers look only at the summary of the identifications without ever viewing the underlying raw data used for assignments. Automated analysis of data is essential due to the volume produced. However, being familiar with the finer intricacies of peptide fragmentation processes, and experiencing the difficulties of manual data interpretation allow a researcher to be able to more critically evaluate key results, particularly because there are many known rules of peptide fragmentation that are not incorporated into search engine scoring. Since the most commonly used MS/MS activation method is collision-induced dissociation (CID), in this article we present a brief review of the history of peptide CID analysis. Next, we provide a detailed tutorial on how to determine peptide sequences from CID data. Although the focus of the tutorial is de novo sequencing, the lessons learned and resources supplied are useful for data interpretation in general.
质谱分析法已成为定性和定量表征从各种生物体中分离出的蛋白质混合物的首选方法。这些研究中的原始数据是MS/MS谱图,通常是蛋白质经蛋白酶消化产生的肽段的谱图。这些谱图通常借助各种搜索引擎“翻译”成肽段序列。数据采集和解读都已实现自动化,大多数研究人员只看鉴定结果的总结,而从未查看用于鉴定的基础原始数据。由于产生的数据量巨大,数据的自动化分析至关重要。然而,熟悉肽段裂解过程的细微差别,并体验手动解读数据的困难,能使研究人员更批判性地评估关键结果,特别是因为有许多已知的肽段裂解规则未纳入搜索引擎评分。由于最常用的MS/MS激活方法是碰撞诱导解离(CID),在本文中,我们简要回顾肽段CID分析的历史。接下来,我们提供一份关于如何从CID数据确定肽段序列的详细教程。尽管该教程的重点是从头测序,但所学到的经验教训和提供的资源总体上对数据解读很有用。