In this study, we present a high-resolution dataset and bioinformatic analysis of the proteome of Bacillus subtilis 168 trp+ (BSB1) during germination and spore outgrowth. Samples were collected at 14 different time points (ranging from 0 to 130 min) in three biological replicates after spore inoculation into germination medium. A total of 2191 proteins were identified and categorized based on their expression kinetics. We observed four distinct clusters that were analyzed for functional categories and KEGG pathways annotations. The examination of newly synthesized proteins between successive time points revealed significant changes, particularly within the first 50 min. The dataset provides an information base that can be used for modeling purposes and inspire the design of new experiments.

Institute of Organic Chemistry and Biochemistry Czech Academy of Sciences Prague 6 Czech Republic

Laboratory of Bioinformatics Institute of Microbiology of the Czech Academy of Sciences Prague 4 Czech Republic

Laboratory of Microbial Genetics and Gene Expression Institute of Microbiology of the Czech Academy of Sciences Prague 4 Czech Republic

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Quantitative Aspect of Bacillus subtilis σB Regulatory Network on a Proteome Level-A Computational Simulation