B. subtilis Transcription Factor Competition - computational data

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SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".

The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.

Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...

BaCell-SysMO 2 Modelling carbon core metabolism in Bacillus subtilis – Exploring the contribution of protein complexes in core carbon and nitrogen metabolism.

Bacillus subtilis is a prime model organism for systems biology approaches because it is one of the most advanced models for functional genomics. Furthermore, comprehensive information on cell and molecular biology, physiology and genetics is available and the European Bacillus community (BACELL) has a well-established reputation for applying ...

The objective of this project is an integrated understanding the metabolic, proteomic and genetic network that controls the transition from growth to glucose starvation. This transition is a fundamental ecophysiological response that serves as a scientific model for environmental signal integration and is pivotal for industrial fermentations of Bacillus that occur predominantly under nutrient starvation.

Keywords: Glucose starvation, Transcriptomics, Proteomics, Metabolomics,Bacillus subtilis,

The aim of the study is to test the interplay of the effects of different transcriptional regulators on gene expression during different environmental responses in B. subtilis. For a selected set of transcriptional regulators native proteins are fusion-labelled. The intensity of expression of each reporter protein is measured in the absence of several transcriptional regulators that compete for the RNA polymerase.

Theoretical analysis of hypothetical sigma factor competition. Based on the model 'transcription factor competition' possible dynamics of sigma factor competition are simulated and analysed using Lineweaver-Burk representations.