Team:ETH Zurich/Modeling/InitialStates

From 2013.igem.org

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<h1> Initial States </h1>
<h1> Initial States </h1>
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<p align= "justify">It is important to obtain the steady state concentration of molecules in our biological circuit, since these values can be used as biologically meaningful initial conditions for subsequent simulations. To achieve this goal, we implemented a Single Cell Model. The cells plated on the game plate are from an overnight liquid culture. Thus, we assume that the cells have reached the steady state. It should be noted that the receiver cells grow in the absence of OHHL in the medium and this affects the concentrations of intracellular species whose production depends on OHHL.</p>
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<p align= "justify">It is important to obtain the steady state concentration of molecules in our biological circuit, since these values can be used as biologically meaningful initial conditions for subsequent simulations. To achieve this goal, we implemented a Single Cell Model. The cells plated on the game plate are from an overnight liquid culture. Thus, we assume that the levels of the proteins of our engineered system in the cells have reached steady state. </p>
<h1> Initial state for the Mine Cells </h1>
<h1> Initial state for the Mine Cells </h1>
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<p align= "justify">The mine colonies produce the three proteins NagZ, LuxI and OHHL, that is important in our bio-game. The proteins NagZ and LuxI are constitutively produced, whereas the synthesis of OHHL is dependent of LuxI protein. Degradation of these proteins is modeled as linear degradation. The diffusion of OHHL across the cell membrane is modeled as proposed in literature by [https://2013.igem.org/Team:ETH_Zurich/References#Garcia2004 Garcia-Ojalvo ''et. al.'', 2004.]<br><br>
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<p align= "justify">The mine colonies produce three molecules, NagZ, LuxI and AHL, that are important in our bio-game. The proteins NagZ and LuxI are constitutively produced, whereas the synthesis of AHL is dependent on LuxI. Moreover, degradation of these proteins is modeled as linear degradation. We have also taken into account the contribution of the dynamic evolution of AHL due to diffusion toward/from the medium, distinguishing between intracellular and extracellular concentrations ([https://2013.igem.org/Team:ETH_Zurich/References#Garcia2004 Garcia-Ojalvo ''et. al.'', 2004.])<br><br>
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The ODEs for the states involved in the mine cells of the system are given below: <br><br></p>
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The ODEs for the states involved in the mine cells are given below: <br><br></p>
\begin{align}
\begin{align}
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\begin{align}
\begin{align}
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\frac{d[AHL,i]}{dt}= \alpha_{AHL} \cdot [LuxI]-d_{AHL,i} \cdot [AHL,i] - \eta \cdot ([AHL,i]-[AHL,e])\\
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\frac{d[AHL,i]}{dt}= \alpha_{AHL} \cdot [LuxI]-d_{AHL,i} \cdot [AHL,i] - \eta \cdot \left([AHL,i]-[AHL,e]\right)\\
\end{align}
\end{align}
\begin{align}
\begin{align}
-
\frac{d[AHL,e]}{dt}= -d_{AHL,e} \cdot [AHL,e] + \eta_{ext} \sum_{j=1}^{n} ([AHL,j]-[AHL,e])\\
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\frac{d[AHL,e]}{dt}= -d_{AHL,e} \cdot [AHL,e] + \eta_{ext} \sum_{j=1}^{n} \left([AHL,j]-[AHL,e]\right)\\
\end{align}
\end{align}
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<p align="center">System of Differential equations for a Mine Cell.</p>
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<p align="center"><b>System of differential equations for a sender cells, </b> where $\eta = \sigma \cdot A/V_{c}$ measures the diffusion across the cell membrane, with $\sigma$ representing the membrane permeability, $A$ its surface area and $V_{c}$ the cell volume, and $\eta_{ext} = \delta/V_{ext}$ with $V_{ext}$ being the total extracellular volume.</p>
<br>
<br>
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[[File:InitialConMine.png|800px|center|thumb|<b>Figure 1:</b> Steady state concentrations for Mine Cells]]
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[[File:InitCondMine.png|600px|center|thumb|<b>Figure 1:</b> Steady state concentrations for Mine Cells]]
<br clear="all"/>
<br clear="all"/>
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<h1> Initial state for the Receiver Cells </h1>
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<p align= "justify"> The concentration of the species at steady state can be solved analytically, obtaining solutions consistent with the numerical solution (Fig. 1): </p>
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{|style="border: none;" align="center"
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\begin{align}
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|valign="top"|[[File:InitialConReceiver.png|500px|center|thumb|<b>Figure 2:</b> Steady state concentrations for Receiver Cells.]]  
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[LuxI]_{ss} =\frac{\alpha_{LuxI}} {d_{LuxI}} \approx 59.8802 \mu M
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|valign="top"|[[File:InitialConReceiver2.png|500px|center|thumb|<b>Figure 3:</b> Steady state concentrations for Receiver Cells]]
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\end{align}
 +
 
 +
\begin{align}
 +
[NagZ]_{ss} =\frac{\alpha_{NagZ}} {d_{NagZ}}  \approx 43.2809 \mu M
 +
\end{align}
 +
 
 +
\begin{align}
 +
[AHL,i]_{ss}= \frac{\alpha_{AHL} \cdot [LuxI]_{ss}} {d_{AHL,i} + \eta \cdot \left(1-\frac{\eta_{ext}}{d_{AHL,e}+\eta_{ext}}\right)} \approx 55.8492 \mu M
 +
\end{align}
 +
 
 +
\begin{align}
 +
[AHL,e]_{ss}= \frac{ \eta_{ext} \cdot [AHL,i]_{ss}}{d_{AHL,e} + \eta_{ext} } \approx 55.8291 \mu M
 +
\end{align}
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<h1> Initial state for the Receiver Cells</h1>
 +
 
 +
<p align= "justify"> Receiver cells are responsible of processing the AHL signal and generating a visible distinguishable colour outputs. To do so, we introduce a enzymatic reporter system using the hydrolases GusA and AES.  Proteins are expressed under the control of P<sub>LuxR</sub> promoters which are activated by LuxR/AHL complex (denoted as r). We used the wild type promoter to drive expression of GusA and a promoter mutant, less sensitive towards LuxR/AHL complex, for AES.
 +
 
 +
The ODEs for the states involved in the receiver cells are given below: <br><br></p>
 +
 
 +
\begin{align}
 +
\frac{d[LuxR]}{dt}=\alpha_{[LuxR]} - d_{LuxR} [LuxR] \\
 +
\end{align}
 +
 
 +
\begin{align}
 +
\frac{d[R]}{dt}=\rho_{LuxR} \cdot [LuxR ]^2 \cdot [AHL]^2 - d_{R} [R]\\
 +
\end{align}
 +
 
 +
\begin{align}
 +
\frac{d[AHL,i]}{dt}= \eta \cdot \left([AHL,e]-[AHL,i]\right) -d_{AHL,i} \cdot [AHL,i]\\
 +
\end{align}
 +
 
 +
\begin{align}
 +
\frac{d[AHL,e]}{dt}= -d_{AHL,e} \cdot [AHL,e] + \eta_{ext} \sum_{j=1}^{n} \left([AHL,j]-[AHL,e]\right)\\
 +
\end{align}
 +
 
 +
 
 +
\begin{align}
 +
\frac{d[GusA]}{dt}=\alpha_{GusA} \cdot k_{leaky} \cdot [LuxR]+ \frac{\alpha_{GusA}(\frac{[R]}{K_{R_1}})^{n}}{1+(\frac{[R]}{K_{R_1}})^{n}} - d_{GusA}\cdot [GusA]\\
 +
\end{align}
 +
 
 +
\begin{align}
 +
\frac{d[AES]}{dt}=\alpha_{AES} \cdot k_{leaky} \cdot [LuxR] + \frac{\alpha_{AES}(\frac{[R]}{K_{R_2}})^{n}}{1+(\frac{[R]}{K_{R_2}})^{n}} - d_{AES}\cdot [AES]\\
 +
\end{align}
 +
 
 +
<p align="justify">  It should be noted that the receiver cells grow in the absence of AHL in the medium and this affects the concentrations of intracellular species whose production depends on AHL.</p>
 +
 
 +
{|style="border: none;background: transparent;" align="center"
 +
|valign="top" style="border:none;"|[[File:InitialConReceiver.png|500px|center|thumb|<b>Figure 2:</b> Steady state concentrations for Receiver Cells.]]  
 +
|valign="top" style="border:none;"|[[File:InitialConReceiver2.png|500px|center|thumb|<b>Figure 3:</b> Steady state concentrations for Receiver Cells]]
|}
|}
 +
 +
<br>
 +
<p align= "justify"> The analytical solution for the steady state is given below: </p>
 +
 +
\begin{align}
 +
[LuxR]_{ss}= \frac{\alpha_{LuxR}}{d_{LuxR}} \approx 0.5 \mu M
 +
\end{align}
 +
 +
\begin{align}
 +
[GusA]_{ss}= \frac{\alpha_{GusA} \cdot k_{leaky} \cdot [LuxR]_{ss}}{d_{GusA}} \approx 3.2461 \mu M
 +
\end{align}
 +
 +
\begin{align}
 +
[AES]_{ss}= \frac{\alpha_{AES} \cdot k_{leaky} \cdot [LuxR]_{ss}}{d_{AES}} \approx 3.2461 \mu M
 +
\end{align}
 +
 +
<h1> Output System </h1>
 +
 +
<p align= "justify">GusA expression should be triggered by one mine in the vicinity. In figure 4 is shown the GusA steady state concentration as function of AHL as input. We simulated the system of equations for 5000 minutes. </p> <br>
 +
[[File:GusA_AHLsweep.png|600px|center|thumb|<b>Figure 4:</b> GusA concentration vs. increasing AHL input, both in &mu; M.]]
 +
<br clear="all"/>
<br clear="all"/>
 +
{{:Team:ETH_Zurich/templates/footer}}

Latest revision as of 23:11, 28 October 2013

Header2.png
80px-Eth igem logo.png

Contents

Initial States

It is important to obtain the steady state concentration of molecules in our biological circuit, since these values can be used as biologically meaningful initial conditions for subsequent simulations. To achieve this goal, we implemented a Single Cell Model. The cells plated on the game plate are from an overnight liquid culture. Thus, we assume that the levels of the proteins of our engineered system in the cells have reached steady state.

Initial state for the Mine Cells

The mine colonies produce three molecules, NagZ, LuxI and AHL, that are important in our bio-game. The proteins NagZ and LuxI are constitutively produced, whereas the synthesis of AHL is dependent on LuxI. Moreover, degradation of these proteins is modeled as linear degradation. We have also taken into account the contribution of the dynamic evolution of AHL due to diffusion toward/from the medium, distinguishing between intracellular and extracellular concentrations (Garcia-Ojalvo et. al., 2004.)

The ODEs for the states involved in the mine cells are given below:

\begin{align} \frac{d[LuxI]}{dt} =\alpha_{LuxI} - d_{LuxI} \cdot [LuxI]\\ \end{align}

\begin{align} \frac{d[NagZ]}{dt} =\alpha_{NagZ} - d_{NagZ} \cdot [NagZ]\\ \end{align}

\begin{align} \frac{d[AHL,i]}{dt}= \alpha_{AHL} \cdot [LuxI]-d_{AHL,i} \cdot [AHL,i] - \eta \cdot \left([AHL,i]-[AHL,e]\right)\\ \end{align}

\begin{align} \frac{d[AHL,e]}{dt}= -d_{AHL,e} \cdot [AHL,e] + \eta_{ext} \sum_{j=1}^{n} \left([AHL,j]-[AHL,e]\right)\\ \end{align}

System of differential equations for a sender cells, where $\eta = \sigma \cdot A/V_{c}$ measures the diffusion across the cell membrane, with $\sigma$ representing the membrane permeability, $A$ its surface area and $V_{c}$ the cell volume, and $\eta_{ext} = \delta/V_{ext}$ with $V_{ext}$ being the total extracellular volume.


Figure 1: Steady state concentrations for Mine Cells


The concentration of the species at steady state can be solved analytically, obtaining solutions consistent with the numerical solution (Fig. 1):

\begin{align} [LuxI]_{ss} =\frac{\alpha_{LuxI}} {d_{LuxI}} \approx 59.8802 \mu M \end{align}

\begin{align} [NagZ]_{ss} =\frac{\alpha_{NagZ}} {d_{NagZ}} \approx 43.2809 \mu M \end{align}

\begin{align} [AHL,i]_{ss}= \frac{\alpha_{AHL} \cdot [LuxI]_{ss}} {d_{AHL,i} + \eta \cdot \left(1-\frac{\eta_{ext}}{d_{AHL,e}+\eta_{ext}}\right)} \approx 55.8492 \mu M \end{align}

\begin{align} [AHL,e]_{ss}= \frac{ \eta_{ext} \cdot [AHL,i]_{ss}}{d_{AHL,e} + \eta_{ext} } \approx 55.8291 \mu M \end{align}

Initial state for the Receiver Cells

Receiver cells are responsible of processing the AHL signal and generating a visible distinguishable colour outputs. To do so, we introduce a enzymatic reporter system using the hydrolases GusA and AES. Proteins are expressed under the control of PLuxR promoters which are activated by LuxR/AHL complex (denoted as r). We used the wild type promoter to drive expression of GusA and a promoter mutant, less sensitive towards LuxR/AHL complex, for AES. The ODEs for the states involved in the receiver cells are given below:

\begin{align} \frac{d[LuxR]}{dt}=\alpha_{[LuxR]} - d_{LuxR} [LuxR] \\ \end{align}

\begin{align} \frac{d[R]}{dt}=\rho_{LuxR} \cdot [LuxR ]^2 \cdot [AHL]^2 - d_{R} [R]\\ \end{align}

\begin{align} \frac{d[AHL,i]}{dt}= \eta \cdot \left([AHL,e]-[AHL,i]\right) -d_{AHL,i} \cdot [AHL,i]\\ \end{align}

\begin{align} \frac{d[AHL,e]}{dt}= -d_{AHL,e} \cdot [AHL,e] + \eta_{ext} \sum_{j=1}^{n} \left([AHL,j]-[AHL,e]\right)\\ \end{align}


\begin{align} \frac{d[GusA]}{dt}=\alpha_{GusA} \cdot k_{leaky} \cdot [LuxR]+ \frac{\alpha_{GusA}(\frac{[R]}{K_{R_1}})^{n}}{1+(\frac{[R]}{K_{R_1}})^{n}} - d_{GusA}\cdot [GusA]\\ \end{align}

\begin{align} \frac{d[AES]}{dt}=\alpha_{AES} \cdot k_{leaky} \cdot [LuxR] + \frac{\alpha_{AES}(\frac{[R]}{K_{R_2}})^{n}}{1+(\frac{[R]}{K_{R_2}})^{n}} - d_{AES}\cdot [AES]\\ \end{align}

It should be noted that the receiver cells grow in the absence of AHL in the medium and this affects the concentrations of intracellular species whose production depends on AHL.

Figure 2: Steady state concentrations for Receiver Cells.
Figure 3: Steady state concentrations for Receiver Cells


The analytical solution for the steady state is given below:

\begin{align} [LuxR]_{ss}= \frac{\alpha_{LuxR}}{d_{LuxR}} \approx 0.5 \mu M \end{align}

\begin{align} [GusA]_{ss}= \frac{\alpha_{GusA} \cdot k_{leaky} \cdot [LuxR]_{ss}}{d_{GusA}} \approx 3.2461 \mu M \end{align}

\begin{align} [AES]_{ss}= \frac{\alpha_{AES} \cdot k_{leaky} \cdot [LuxR]_{ss}}{d_{AES}} \approx 3.2461 \mu M \end{align}

Output System

GusA expression should be triggered by one mine in the vicinity. In figure 4 is shown the GusA steady state concentration as function of AHL as input. We simulated the system of equations for 5000 minutes.


Figure 4: GusA concentration vs. increasing AHL input, both in μ M.