通过数据库搜索从串联质谱中鉴定蛋白质。

Protein Identification from Tandem Mass Spectra by Database Searching.

作者信息

Edwards Nathan J

机构信息

Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA.

出版信息

Methods Mol Biol. 2017;1558:357-380. doi: 10.1007/978-1-4939-6783-4_17.

DOI:10.1007/978-1-4939-6783-4_17

PMID:28150247

Abstract

Protein identification from tandem mass spectra is one of the most versatile and widely used proteomics workflows, able to identify proteins, characterize post-translational modifications, and provide semiquantitative measurements of relative protein abundance. This manuscript describes the concepts, prerequisites, and methods required to analyze a tandem mass spectrometry dataset in order to identify its proteins, by using a tandem mass spectrometry search engine to search protein sequence databases. The discussion includes instructions for extraction, preparation, and formatting of spectral datafiles, selection of appropriate search parameter settings, and basic interpretation of the results.

摘要

从串联质谱中鉴定蛋白质是最通用且应用最广泛的蛋白质组学工作流程之一，能够鉴定蛋白质、表征翻译后修饰，并提供相对蛋白质丰度的半定量测量。本手稿描述了分析串联质谱数据集以鉴定其中蛋白质所需的概念、前提条件和方法，即使用串联质谱搜索引擎搜索蛋白质序列数据库。讨论内容包括光谱数据文件的提取、制备和格式化说明，适当搜索参数设置的选择，以及结果的基本解读。