Team:ETH Zurich/Modeling
From 2013.igem.org
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<h1><b>Receiver Cells</b></h1> | <h1><b>Receiver Cells</b></h1> | ||
[[File:eqnBiosensor.png|500px|right|thumb|<b>Figure 4: Differential equations of the receiver cells</b>]] | [[File:eqnBiosensor.png|500px|right|thumb|<b>Figure 4: Differential equations of the receiver cells</b>]] | ||
- | Our Receiver cells are engineered to respond differently to high and medium concentrations of AHL. In principle, cells should be capable of discriminate between the presence of 1 or 2 mine cells around them, in the immediate vicinity. | + | Our Receiver cells are engineered to respond differently to high and medium concentrations of AHL. In principle, cells should be capable of discriminate between the presence of 1 or 2 mine cells around them, in the immediate vicinity. <br> |
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+ | To distinguish between AHL-levels, the expression of the hydrolases is controlled by PLuxR promoters mutants, which are sensitive to different concentration of the dimer LuxR-AHL (denoted as R) given by the number of surrounding mines. | ||
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Revision as of 15:09, 5 September 2013
Contents |
The digital bacterial-based minesweeper
We created a two dimensional 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.
AHL: Reaction-Diffusion Model
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).
The change of the species concentrations in time is given by non-linear ordinary differential equations (ODEs), most of which follow Hill kinetics. The parameters we used in the model are derived from literature. In our model we consider that signalling molecules degrade at the same rate whether they are cytoplasmic or not.
Mine Cells
The Mine Cells lead to the synthesis the signalling molecule, by constitutive expression of luxI gene. To reveal the nature of the cells, a coloured-substrate reaction is triggered upon addition of 5-Bromo-4-chloro-3-indoxyl-N-acetyl-beta-D-glucosaminide; given that the glycoside hydrolase NagZ is expressed constitutively.
The ODEs for the states involved in the sender module are given below:
Receiver Cells
Our Receiver cells are engineered to respond differently to high and medium concentrations of AHL. In principle, cells should be capable of discriminate between the presence of 1 or 2 mine cells around them, in the immediate vicinity.
To distinguish between AHL-levels, the expression of the hydrolases is controlled by PLuxR promoters mutants, which are sensitive to different concentration of the dimer LuxR-AHL (denoted as R) given by the number of surrounding mines.