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Financement britannique (361 594 £) : Dynamique des agrégats enzymatiques du métabolisme du noyau de carbone dans les cellules en croissance et affamées / a. Etudes d’interactomes Ukri 01/08/2007 Recherche et innovation du Royaume-Uni, Royaume Uni
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Dynamique des agrégats enzymatiques du métabolisme du noyau de carbone dans les cellules en croissance et affamées / a. Etudes d’interactomes
| Abstract | The objective of this project is to develop an integrated understanding of the metabolic and genetic network that controls the transition from growth to glucose starvation in the model bacterium, Bacillus subtilis. In addition to serving as a model system, B. subtilis is an industrial workhorse for 'white biotechnology' since it serves is a primary producer of technical enzymes and other products (e.g. vitamins, antibiotics, flavour enhancers and biochemicals). The transition from growth to growth limitation is a fundamental ecophysiological response and is studied by academic researchers as a model for environmental signal processing and integration. Understanding this transition is also pivotal for industrial fermentations of Bacillus that occur predominantly under nutrient limitation. Our approach is to integrate biological data with mathematical models of the networks that regulate the transition from growth to starvation. The approach starts with quantitative monitoring of defined genetic and environmental perturbations under standardized growth conditions. These data are used for mathematical modelling of regulatory processes. As the programme develops, gaps in our understanding will be revealed by the failure of structural, genome-wide network analyses to describe the biological data. Our concept is to continuously probe model and data consistency in clearly defined (sub)projects, each involving an experimental and a modelling partner. The pivotal element is a model-driven experimental design, where model-based hypotheses are tested through targeted measurements of critical variables. Facilitated through standardized nomenclature, model formats, and defined input/output signals, modular mathematical models are then integrated into a consistent systems representation. In summary, the project will provide convincing evidence that close interactions between experimental and computational scientists on a well advanced model organism can significantly advance our quantitative understanding of, and eventually our ability to control, the highly dynamic and complex regulatory processes in microbes. |
| Category | Research Grant |
| Reference | BB/F003412/1 |
| Status | Closed |
| Funded period start | 01/08/2007 |
| Funded period end | 31/01/2011 |
| Funded value | £361 594,00 |
| Source | https://gtr.ukri.org/projects?ref=BB%2FF003412%2F1 |
Participating Organisations
| Newcastle University | |
| University of Greifswald | |
| University of Göttingen |
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Newcastle University, Newcastle Upon Tyne, Royaume Uni.
