Proteogenomic Approach for Mycobacterium tuberculosis Investigation

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.