Team:Paris/Analysis/Construction2
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- | *In the | + | *In the first system, we use a modular design. We consider that the core system is one of the modules of the system and that the other module is a three gene oscillator system presented in [[Team:Paris/Modeling/BOB#Bibliography|[Garcia-Ojalvo]]] that accounts for quorum sensing. We call this alternative the 'bimodular system'. |
- | *In the | + | *In the second system, namely the 'unimodular system', we rewire the architecture of the core system to introduce delay via HSL export in the environment in a single circuit. |
- | Both the bimodular and unimodular | + | Both the bimodular and unimodular systems describe events that happen not only at the cellular level (as in the core system) but also at the population level due to interactions needed between a cell and its environment. |
- | In the following sections, we first describe | + | In the following sections, we first describe population modeling (the common part among our two proposed models) to then focus our attention to the characteristics that are exclusive to each of the modeling alternatives. |
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* A chemostat is generally used to keep bacteria volume constant in the medium. The constant conditions provided by the chemostat help us to control bacteria growth rate. | * A chemostat is generally used to keep bacteria volume constant in the medium. The constant conditions provided by the chemostat help us to control bacteria growth rate. |
Revision as of 16:40, 28 October 2008
Model Construction
IntroductionWe investigate here possible improvements of the core system. Our objective is twofold : the system has to provide sustained oscillations and these oscillations should be synchronized amongst a population of cells. To this aim we explore designs inspired by quorum sensing and model in a chemostat cell growth and species diffusion outside cells. We consider two models relaying on different designs principles. ↓ To joint our quest for alternatives click here! ↑
Modeling AlternativesThe proposed models are:
Both the bimodular and unimodular systems describe events that happen not only at the cellular level (as in the core system) but also at the population level due to interactions needed between a cell and its environment. In the following sections, we first describe population modeling (the common part among our two proposed models) to then focus our attention to the characteristics that are exclusive to each of the modeling alternatives. Description
↓ more detailed description... ↑
Parameters SearchThe following table sumarize our findings. The parameters' values that are used during the simulations. Most them are found in literature others are obtained from further analysis.
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