Data sheet generated in Greifswald to measure the response of sigB activity in response to different media composition.
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Created: 26th Oct 2009 at 14:48
Last updated: 20th May 2014 at 14:19
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Version 1 (earliest) Created 26th Oct 2009 at 14:48 by Ulf Liebal
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Projects: BaCell-SysMO
Institutions: University of Rostock
Expertise: Mathematical modelling, Bacillus subtilis, Deterministic modelling of gene regulation networks, stress responses, Systems Biology, sensitivity analysis, Dynamics and Control of Biological Networks, Parameter estimation
Tools: Biochemistry, Computational and theoretical biology, ODE, Matlab, linux, Stochastic models, Deterministic models, Dynamic modelling
Modelling of the general stress response activation cascade of sigB in B. subtilis in response to starvation.
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 ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
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 ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=53
Organisms: Bacillus subtilis
Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...
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,
Submitter: Praveen kumar Sappa
Studies: B. subtilis Transcription Factor Competition, Batchfermentation exp-starv01_090204, Biphase Batch Fermentation(2009/02/04), Controlled sigmaB induction in shake flask, Transition to starvation in shake flask
Assays: 2D-gelbased analysis of intracellular proteins, Absolute quantification of proteins by the AQUA-technology, B. subtilis Transcription Factor Competition - theoretical interpretation, B. subtilis Transcription Factor Competition - theoretical interpretation, Fermentation-BM5_SysMo, Gene expression(Transcriptome), IPTG induction of sigmaB in BSA115, IPTG induction of sigmaB in BSA115, Relative quantification of proteins by metabolic labeling, Stressosome activation dynamics, metabolome-LCMS
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Experimental study for hands on session
Submitter: Olga Krebs
Investigation: Using SEEK and I-S-A structure to integrate ex...
Assays: How to use templates for FAIR experimental data representation, How to use templates to structure experimental data 222
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Experiments using shake flask cultures to measure dynamics associated with sigB response.
Submitter: Ulf Liebal
Investigation: The transition from growing to non-growing Baci...
Assays: No Assays
Snapshots: No snapshots
Here we will use JERM templates with embedded ontologies to describe and annotate example data 222
Submitter: Olga Krebs
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Using SEEK and I-S-A structure to integrate ex...
Organisms: Bacillus subtilis : test 1 (insertion xyl / wild-type)
SOPs: Extraction and quantitative analysis of protein...
Data files: 0804_shake-flask-sigB-starvation
Snapshots: No snapshots