ArticleNature communications2010
Systems-wide temporal proteomic profiling in glucose-starved Bacillus subtilis.
Article in Nature communications, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.
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Who cites it
81 citing papers in PubMed.
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- A multiomic approach to defining the essential genome of the globally important pathogen Corynebacterium diphtheriae.PLoS genetics · 2023Article
- Marine bacteroidetes use a conserved enzymatic cascade to digest diatom β-mannan.The ISME journal · 2023Article
- Purification, Characterization and Bactericidal Action of Lysozyme, Isolated fromMolecules (Basel, Switzerland) · 2023Article
- Natural phenolic compounds as biofilm inhibitors of multidrug-resistantFrontiers in microbiology · 2023Article
- Biocontrol endophytesPeerJ · 2023Article
- Multi-Omics ofProteomes · 2022Article
- Metabolic engineering enables Bacillus licheniformis to grow on the marine polysaccharide ulvan.Microbial cell factories · 2022Article
- New Global Insights on the Regulation of the Biphasic Life Cycle and Virulence Via ClpP-Dependent Proteolysis in Legionella pneumophila.Molecular & cellular proteomics : MCP · 2022Article
21 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional genomics of the Gram-positive model organism Bacillus subtilis reveals valuable insights into basic concepts of cell physiology. In this study, we monitor temporal changes in the proteome, transcriptome and extracellular metabolome of B. subtilis caused by glucose starvation. For proteomic profiling, a combination of in vivo metabolic labelling and shotgun mass spectrometric analysis was carried out for five different proteomic subfractions (cytosolic, integral membrane, membrane, surface and extracellular proteome fraction), leading to the identification of ~52% of the predicted proteome of B. subtilis. Quantitative proteomic and corresponding transcriptomic data were analysed with Voronoi treemaps linking functional classification and relative expression changes of gene products according to their fate in the stationary phase. The obtained data comprise the first comprehensive profiling of changes in the membrane subfraction and allow in-depth analysis of major physiological processes, including monitoring of protein degradation.
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