Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia.
Methods Mol Biol. 2021;2259:191-201. doi: 10.1007/978-1-0716-1178-4_12.
Recent advances in MS/MS technology have made it possible to use proteomic data to predict protein-coding sequences. This approach is called proteogenomics, and it allows to correctly translate start and stop sites and to reveal new open reading frames. Here, we focus on using proteogenomics to improve the annotation of Mycobacteriumtuberculosis strains. We also describe detail procedures of the extraction of proteins and their further preparation for LC-MS/MS analysis and outline the main steps of data analysis.
近年来,MS/MS 技术的进步使得利用蛋白质组学数据来预测蛋白质编码序列成为可能。这种方法称为蛋白质基因组学,它允许正确翻译起始和终止位点,并揭示新的开放阅读框。在这里,我们专注于使用蛋白质基因组学来改进结核分枝杆菌菌株的注释。我们还描述了提取蛋白质及其进一步准备用于 LC-MS/MS 分析的详细过程,并概述了数据分析的主要步骤。