Team:ETH Zurich/GFP
From 2013.igem.org
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<h1>The digital bacterial-based minesweeper</h1> | <h1>The digital bacterial-based minesweeper</h1> | ||
- | We created a 2D spatio-temporal model of the Colisweeper bacterial game in order to evaluate our network and design. For the simulation, we used the software COMSOL Multiphysics. | + | We created a 2D spatio-temporal model of the Colisweeper bacterial game in order to evaluate our network and design. For the simulation, we used the software COMSOL Multiphysics. Most of the parameters we used in the model are derived from literature, and some are fitted. |
<h1>Reaction-Diffusion Model</h1> | <h1>Reaction-Diffusion Model</h1> | ||
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[[File:Diff_AHL.png|500px|center|thumb|<b>Figure 2: Diffusive term for AHL</b>]] | [[File:Diff_AHL.png|500px|center|thumb|<b>Figure 2: Diffusive term for AHL</b>]] | ||
- | For the reaction component, the change of the species concentrations in time is given by non-linear ordinary differential equations (ODEs), following Michaelis- | + | For the reaction component, the change of the species concentrations in time is given by non-linear ordinary differential equations (ODEs), following Michaelis-Menten kinetics. In our model we consider that signalling molecule degrade at different rates, depending on the location, i.e. cytoplasmic or extracellular. Given that the intracellular degradation is driven by enzymatic degradation, whereas the extracellular decay is a non active process. |
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Revision as of 16:58, 11 September 2013
The digital bacterial-based minesweeper
We created a 2D spatio-temporal model of the Colisweeper bacterial game in order to evaluate our network and design. For the simulation, we used the software COMSOL Multiphysics. Most of the parameters we used in the model are derived from literature, and some are fitted.
Reaction-Diffusion Model
In our first spatiotemporal model, we wanted to find out if a suitable AHL gradient would be formed at all and validate the model with experimental data. In this case, the receiver cells (E. coli DH5α strain) have been transformed with a plasmid containing GFP. We simulated a spatio-temporal reaction-diffussion system in 2D with COMSOL Multiphysics.
AHL: Reaction-Diffusion Equation
To explain how the concentration of AHL changes over time, we have to consider the influence of two processes: local chemical reactions and diffusion which causes the molecule to spread out over the agar plate (Fig. 1).
For the Diffusion, the equation is a partial differential equation (Fig. 2) which describes density fluctuations over time and space. DAHL(AHL(r,t),r) denotes the collective diffusion coefficient for AHL at location r. However, we are assuming that the diffusion coefficient does not depend on the density, i.e., DAHL is a constant. The value reported in the literature for the diffusion constant corresponds to measurements performed in water at 25oC. Since diffusion in our system happens in agar, we scaled the diffusion constant by a factor Cagar (Fatin-Rouge et al., 2004).
For the reaction component, the change of the species concentrations in time is given by non-linear ordinary differential equations (ODEs), following Michaelis-Menten kinetics. In our model we consider that signalling molecule degrade at different rates, depending on the location, i.e. cytoplasmic or extracellular. Given that the intracellular degradation is driven by enzymatic degradation, whereas the extracellular decay is a non active process.