Difference between revisions of "Team:ETH Zurich/Modeling/Experiments Model"

(Created page with "{{ETH_Zurich}} <html> <div class="expContainer"> <h1>Experiments Meet Modeling</h1> </div> </div> </html> {{:Template:ETH_Zurich/footer}}")
 
Line 3: Line 3:
 
<div class="expContainer">
 
<div class="expContainer">
 
<h1>Experiments Meet Modeling</h1>
 
<h1>Experiments Meet Modeling</h1>
 +
 +
</div>
 +
 +
 +
<div class="expContainer">
 +
<h2>Characterization of the LldR promoters and Biophysical Model</h2>
 +
<p> To see, how this model was derived in the first place, <a href="#Early_stage_modeling">click here</a>.</p>
 +
<h3>A closer look at the mechanism of LldR</h3>
 +
<div class="imgBox" style="float:right;width:40%;margin: 10px 0px 10px 20px !important;">
 +
<a href="https://static.igem.org/mediawiki/2015/d/d1/MechanismLldr.svg">
 +
<!--[if gte IE 9]><!-->
 +
<object class="svg" id="MechanismLldr" data="https://static.igem.org/mediawiki/2015/5/57/MechanismLldr.svg" type="image/svg+xml" style="overflow:hidden">
 +
<img src="IMG FALLBACK URL" />
 +
</object>
 +
<!--<![endif]-->
 +
<!--[if lte IE 8]>
 +
<img src="IMG FALLBACK URL" />
 +
<![endif]-->
 +
</a>
 +
<p><b> Figure 1:</b> Mechanism LldR</p>
 +
</div>
 +
<p>After looking at <a href="https://2015.igem.org/Team:ETH_Zurich/Results#Bacterial_sensor">puzzling results</a>, we realized that our <a href="#How_did_we_derive_the_model_">first model </a>of the mechanism of action of LldR was not realistic. In the literature, we found a compatible explanation, depicted here. In the paper by <a href="https://2015.igem.org/Team:ETH_Zurich/References#Aguilera2008">Aguilera et al. (2008)</a>, they suggest that LldR may be required for the transcription machinery. Hence, instead of having only repression by LldR, LldR might play a <b>dual role as a repressor and an activator</b>.  It suggests that when lactate is present, it destabilizes the DNA loop and induces a conformational change of LldR.This results in the transcription of the gene of interest (goi).  This mechanism is consistent with our results. In the following, we will describe the mathematical equations corresponding to this mechanism.</p>
 +
<h4> Reactions</h4>
 +
<table>
 +
<tr>
 +
<td style="width:60%">
 +
\begin{align} \label{eq:1}
 +
\varnothing&\mathop{\xrightarrow{\hspace{4em}}}^{a_{\mathrm{LldR}}} \text{LldR}\\
 +
2 \cdot \text{LldR} &\mathop{\mathop{\xrightarrow{\hspace{4em}}}^{\xleftarrow{\hspace{4em}}}}^{K_{\mathrm{d,1}}} \text{LldR}_2\\
 +
2 \cdot \text{Lact}+\text{LldR}_2 &\mathop{\mathop{\xrightarrow{\hspace{4em}}}^{\xleftarrow{\hspace{4em}}}}^{K_{\mathrm{d,2}}}2 \cdot  \text{LactLldR} \hspace{2em}\\
 +
\text{LldR} &\mathop{\xrightarrow{\hspace{4em}}}^{d_{\mathrm{lldR}}} \varnothing\\
 +
\text{LldR}_2 &\mathop{\xrightarrow{\hspace{4em}}}^{d_{\mathrm{lldR_2}}} \varnothing\\
 +
\text{LactLldR} &\mathop{\xrightarrow{\hspace{4em}}}^{d_{\mathrm{LactLldR}}} \varnothing\\
 +
\end{align}
 +
</td>
 +
<td>
 +
<ol>
 +
<li>Production of LldR.</li>
 +
<li>Dimerization of LldR in solution.</li>
 +
<li>Unbinding of the dimer of LldR with lactate.</li>
 +
<li>Degradation of all the species.</li>
 +
</ol>
 +
</td>
 +
</tr>
 +
</table>
 +
<h4> Mathematical model</h4>
 +
<p> According to the previous description, the gene of interest is activated by LactLldR and repressed by LldR dimer. Hence, if <i>gfp</i> is the gene of interest, we get the following ODE: </p>
 +
\begin{align*}
 +
\frac{d[GFP]}{dt}&=\frac{a_{GFP}}{1+(\frac{[LldR_2]}{K_R})^{n_r}}\cdot \frac{(\frac{[LactLldR]}{K_A})^{n_a}}{1+(\frac{[LactLldR]}{K_A})^{n_a}}-d_\mathrm{GFP}[GFP]
 +
\end{align*}
 +
<p> Assuming mass conservation for LldR, the total amount of LldR is given by: </p>
 +
\begin{align*}
 +
\text{LldR}_{tot}&=[LldR]+[LactLldR]+2 \cdot [LldR_2]
 +
\end{align*}
 +
<h4> Simplification</h4>
 +
<p>This equation is unidentifiable and we simplified the system by approximating the transcription of <i>gfp</i> by an Hill activation function: </p>
 +
\begin{align*}
 +
\frac{d[GFP]}{dt}&=\frac{a_\mathrm{GFP} \cdot (\frac{[Lact]}{K_\mathrm{A,Lact}})^{n}}{1+(\frac{[Lact]}{K_\mathrm{A,Lact}})^{n}}-d_\mathrm{GFP}[GFP]\\
 +
\end{align*}
 +
<h3>Characterization of the lactate responsive promoter in LB</h3>
 +
<div class="imgBox" style="float:right;width:40%;margin: 10px 0px 10px 20px !important;">
 +
<a href="https://static.igem.org/mediawiki/2015/d/d1/LactateReponsivePromoters.svg">
 +
<!--[if gte IE 9]><!-->
 +
<object class="svg" id="MechanismLldr" data="https://static.igem.org/mediawiki/2015/0/05/LactateReponsivePromoters.svg" type="image/svg+xml" style="overflow:hidden">
 +
<img src="IMG FALLBACK URL" />
 +
</object>
 +
<!--<![endif]-->
 +
<!--[if lte IE 8]>
 +
<img src="IMG FALLBACK URL" />
 +
<![endif]-->
 +
</a>
 +
<p><b> Figure 1:</b> Experiments for the characterization of the LldR promoters</p>
 +
</div>
 +
<p> We characterized the LldR promoter in different media. While all promoters has been tested in <b>LB </b> medium, only the best synthetic promoter has been tested in different mammalian media. </p>
 +
 +
<p> To the extent of our knowledge, no characterization of  the lldPRD operon is available in the literature, nor in the iGEM registry. We characterized our synthetic promoters and the natural promoter in two lactate titration experiments: one with overexpressed LldP, and one with the natural expression of LldP. For a further description of this experiment, click here.
 +
However, we encountered several problems. In this setup, the lldPRD operon is not knocked out in our <i> E. coli </i> strains. Thus, we don't know how much LldP is expressed by the  <i> E. coli </i>. We only know that the natural promoter is weak. Therefore, we assumed that when LldP is not overexpressed, there is no active transport of lactate by the permease. As the lactate molecule is small, we consider lactate passes through the <i> E. coli</i> only thanks to diffusion mechanisms, and then:
 +
\([Lact_{in}]=[Lact_{out}]\).</p>
 +
<p> To see the details about the characterization, <a href="https://2015.igem.org/Team:ETH_Zurich/Results#Resultsa">click here</a>.</p>
 +
<h4> Experiment 1): No overexpressed LldP in LB</h4>
 +
<p> <u>Equations</u></p>
 +
<p> Because, we consider that only diffusion is happening, then we have </p>
 +
\begin{align*}
 +
\frac{d[GFP]}{dt}&=\frac{a_\mathrm{GFP} \cdot (\frac{[Lact_{in}]}{K_\mathrm{A,Lact}})^{n_1}}{1+(\frac{[Lact_{in}]}{K_\mathrm{A,Lact}})^{n_1}}-d_\mathrm{GFP}[GFP]\\
 +
\end{align*}
 +
<p id="Parameter_fitting"> <u>Parameter Fitting</u></p>
 +
<p> We fitted our model using the Least Absolute Residual method, using the fitting toolbox of Matlab.
 +
We <a href="https://2015.igem.org/Team:ETH_Zurich/Part_Collection#Design_of_synthetic_lldR_promoters">designed different constructs</a> of the LldR responsive promoters.We were thus able to compare all the promoters thanks to their ON/OFF ratio and K<SUB>M</SUB> values. For a more detailed description of the experiment and the characterization, go to the registry, by clicking on the different links provided below. </p>
 +
<table>
 +
<tr> <th>Promoter </th> <th><a href="http://parts.igem.org/Part:BBa_J23114">Promoter Strength</a> </th> <th>ON/OFF ratio</th> <th>K<SUB>M</SUB> (&mu;M)</th></tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K822000">K822000</a></td><td>unknown (natural)</td> <td> 10.35 </td>  <td>955    </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847008">K1847008</a></td> <td>162</td><td> 15.26 </td>  <td>  1075</td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847009">K1847009</a></td> <td>  1429</td> <td>1.56    </td>  <td>977.5    </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847007">K1847007</a></td> <td>2547</td><td>1.34  </td>  <td> 697.7 </td> </tr>
 +
</table>
 +
<p> We can observe that our construct <a href="http://parts.igem.org/Part:BBa_K1847008">K1847008</a> has the best ON/OFF compared to the other synthetic promoters which are very leaky. Also, during all these experiments, the levels of LldR inside the cell were kept constant. The two binding sites of LldR were also conserved (same distance to the promoter and same sequences). It is therefore nice to see that the K<SUB>M</SUB> values do not vary a lot depending on the construct. </p>
 +
<h4> Experiment 2): Overexpressed LldP in LB</h4>
 +
<p> We then designed other constructs including the symporter LldP. We expected an increase in lactate import such that the <i>E. coli </i> cells became more sensitive. However, the designed promoters show completely different LldR levels compared to the previous experiments. That is why we can not extract the parameters for LldP symporter using both experiments, because the data sets are not comparable. We will therefore use the same fitting function as before. Below, the promoter levels computed with a <a href="https://salislab.net/software/doReverseRBS">RBS calculator</a> and the <a href="http://parts.igem.org/Part:BBa_J23114">registry</a> are indicated.  </p>
 +
<table>
 +
<tr> <th> Construct </th> <th> Expression of LldR(A. U.)</th> <th> Expression of LldP(A. U.)</th> </tr>
 +
<tr> <td> LldR </td> <td> 51100</td>  <td></td></tr>
 +
<tr> <td> Low LldP- lldR</td> <td> 664</td><td> 8400</td> </tr>
 +
<tr> <td> High LldP- lldR</td> <td> 12</td> <td> 23.4</td> </tr>
 +
</table>
 +
<p> <u>Parameter Fitting</u></p>
 +
<p> We then fitted our model as explained before,and we obtained the following values for ON/OFF ratio and K<SUB>M</SUB> values. </p>
 +
 +
 +
<div style="width:100%">
 +
<table style="float:left;width:50%">
 +
<caption ><p> <b><u> Low LldP-LldR</u> </b> </p> </caption >
 +
<tr> <th>Promoter </th> <th><a href="http://parts.igem.org/Part:BBa_J23114">Promoter Strength</a> </th> <th>ON/OFF ratio</th> <th>K<SUB>M</SUB> (&mu;M)</th></tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K822000">K822000</a></td><td>unknown (natural)</td> <td> 1.16</td>  <td> 720.2 </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847008">K1847008</a></td> <td>162</td><td>1.42  </td>  <td> 337.7 </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847009">K1847009</a></td> <td>  1429</td> <td>0.96  </td>  <td> 459.8    </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847007">K1847007</a></td> <td>2547</td><td> 1.29 </td>  <td>1337  </td> </tr>
 +
</table>
 +
 +
<table style="float:right;width:50%">
 +
<caption><p>  <b><u> High LldP-LldR</u>  </b></p> </caption>
 +
<tr> <th>Promoter </th> <th><a href="http://parts.igem.org/Part:BBa_J23114">Promoter Strength</a> </th> <th>ON/OFF ratio</th> <th>K<SUB>M</SUB> (&mu;M)</th></tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K822000">K822000</a></td><td>unknown (natural)</td> <td>8.04 </td>  <td>    1930</td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847008">K1847008</a></td> <td>162</td><td> 23.96 </td>  <td> 1751  </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847009">K1847009</a></td> <td>  1429</td> <td>24.34  </td>  <td> 2361  </td> </tr>
 +
<tr> <td><a href="http://parts.igem.org/Part:BBa_K1847007">K1847007</a></td> <td>2547</td><td> 3.85 </td>  <td>1977    </td> </tr>
 +
</table>
 +
</div>
 +
<h4> Observations </h4>
 +
<p> It is difficult to make a correct explanation here, since, both the levels of LldP and lldR change. However, in the first construct, we can clearly see that the leakiness is increased for small amounts of LldP/LldR. Consistent with our model, it is probably due to the insufficient levels of LldR. Since LldR is thought to repress the transcription, this could explain the leakiness. </p>
 +
<h3>Characterization of the lactate responsive promoter in mammalian medium</h3>
 +
<p> Below is displayed the response of one synthetic promoter in < a href= "https://2015.igem.org/Team:ETH_Zurich/Materials">RPMI</a>- serum free medium. The promoter harboring the permease  and LldR displays a much higher sensitivity than the one only harboring LldR. In the following, these parameters are going to be used to simulate the fold-change sensor. </p>
 +
<div class="imgBox">
 +
<table> <tr> <td>
 +
<a href="https://2015.igem.org/File:P70inRPMILldrLldPR.png">
 +
<img width="100%" src="https://static.igem.org/mediawiki/2015/a/a5/P70inRPMILldrLldPR.png">
 +
</a>
 +
</td>
 +
<td>
 +
<table><tr><th>Parameter </th><th> value</th></tr>
 +
<tr> <td> K<SUB>M</SUB></td> <td>173 &mu;M </td> </tr>
 +
<tr> <td>ON/OFF </td> <td>7 </td> </tr>
 +
<tr> <td> n</td> <td>1.7 </td> </tr>
 +
</td></tr></table>
 +
</td></tr></table>
 +
<p>Characterization of the low engineered promoter</p>
 +
</div>
 +
 +
 +
 +
</div>
 +
 +
 +
 +
 +
 +
 +
 +
 +
 
</div>
 
</div>
  

Revision as of 08:33, 18 September 2015

"What I cannot create I do not understand."
- Richard Feynmann

Experiments Meet Modeling

Characterization of the LldR promoters and Biophysical Model

To see, how this model was derived in the first place, click here.

A closer look at the mechanism of LldR

Figure 1: Mechanism LldR

After looking at puzzling results, we realized that our first model of the mechanism of action of LldR was not realistic. In the literature, we found a compatible explanation, depicted here. In the paper by Aguilera et al. (2008), they suggest that LldR may be required for the transcription machinery. Hence, instead of having only repression by LldR, LldR might play a dual role as a repressor and an activator. It suggests that when lactate is present, it destabilizes the DNA loop and induces a conformational change of LldR.This results in the transcription of the gene of interest (goi). This mechanism is consistent with our results. In the following, we will describe the mathematical equations corresponding to this mechanism.

Reactions

\begin{align} \label{eq:1} \varnothing&\mathop{\xrightarrow{\hspace{4em}}}^{a_{\mathrm{LldR}}} \text{LldR}\\ 2 \cdot \text{LldR} &\mathop{\mathop{\xrightarrow{\hspace{4em}}}^{\xleftarrow{\hspace{4em}}}}^{K_{\mathrm{d,1}}} \text{LldR}_2\\ 2 \cdot \text{Lact}+\text{LldR}_2 &\mathop{\mathop{\xrightarrow{\hspace{4em}}}^{\xleftarrow{\hspace{4em}}}}^{K_{\mathrm{d,2}}}2 \cdot \text{LactLldR} \hspace{2em}\\ \text{LldR} &\mathop{\xrightarrow{\hspace{4em}}}^{d_{\mathrm{lldR}}} \varnothing\\ \text{LldR}_2 &\mathop{\xrightarrow{\hspace{4em}}}^{d_{\mathrm{lldR_2}}} \varnothing\\ \text{LactLldR} &\mathop{\xrightarrow{\hspace{4em}}}^{d_{\mathrm{LactLldR}}} \varnothing\\ \end{align}
  1. Production of LldR.
  2. Dimerization of LldR in solution.
  3. Unbinding of the dimer of LldR with lactate.
  4. Degradation of all the species.

Mathematical model

According to the previous description, the gene of interest is activated by LactLldR and repressed by LldR dimer. Hence, if gfp is the gene of interest, we get the following ODE:

\begin{align*} \frac{d[GFP]}{dt}&=\frac{a_{GFP}}{1+(\frac{[LldR_2]}{K_R})^{n_r}}\cdot \frac{(\frac{[LactLldR]}{K_A})^{n_a}}{1+(\frac{[LactLldR]}{K_A})^{n_a}}-d_\mathrm{GFP}[GFP] \end{align*}

Assuming mass conservation for LldR, the total amount of LldR is given by:

\begin{align*} \text{LldR}_{tot}&=[LldR]+[LactLldR]+2 \cdot [LldR_2] \end{align*}

Simplification

This equation is unidentifiable and we simplified the system by approximating the transcription of gfp by an Hill activation function:

\begin{align*} \frac{d[GFP]}{dt}&=\frac{a_\mathrm{GFP} \cdot (\frac{[Lact]}{K_\mathrm{A,Lact}})^{n}}{1+(\frac{[Lact]}{K_\mathrm{A,Lact}})^{n}}-d_\mathrm{GFP}[GFP]\\ \end{align*}

Characterization of the lactate responsive promoter in LB

Figure 1: Experiments for the characterization of the LldR promoters

We characterized the LldR promoter in different media. While all promoters has been tested in LB medium, only the best synthetic promoter has been tested in different mammalian media.

To the extent of our knowledge, no characterization of the lldPRD operon is available in the literature, nor in the iGEM registry. We characterized our synthetic promoters and the natural promoter in two lactate titration experiments: one with overexpressed LldP, and one with the natural expression of LldP. For a further description of this experiment, click here. However, we encountered several problems. In this setup, the lldPRD operon is not knocked out in our E. coli strains. Thus, we don't know how much LldP is expressed by the E. coli . We only know that the natural promoter is weak. Therefore, we assumed that when LldP is not overexpressed, there is no active transport of lactate by the permease. As the lactate molecule is small, we consider lactate passes through the E. coli only thanks to diffusion mechanisms, and then: \([Lact_{in}]=[Lact_{out}]\).

To see the details about the characterization, click here.

Experiment 1): No overexpressed LldP in LB

Equations

Because, we consider that only diffusion is happening, then we have

\begin{align*} \frac{d[GFP]}{dt}&=\frac{a_\mathrm{GFP} \cdot (\frac{[Lact_{in}]}{K_\mathrm{A,Lact}})^{n_1}}{1+(\frac{[Lact_{in}]}{K_\mathrm{A,Lact}})^{n_1}}-d_\mathrm{GFP}[GFP]\\ \end{align*}

Parameter Fitting

We fitted our model using the Least Absolute Residual method, using the fitting toolbox of Matlab. We designed different constructs of the LldR responsive promoters.We were thus able to compare all the promoters thanks to their ON/OFF ratio and KM values. For a more detailed description of the experiment and the characterization, go to the registry, by clicking on the different links provided below.

Promoter Promoter Strength ON/OFF ratio KM (μM)
K822000unknown (natural) 10.35 955
K1847008 162 15.26 1075
K1847009 1429 1.56 977.5
K1847007 25471.34 697.7

We can observe that our construct K1847008 has the best ON/OFF compared to the other synthetic promoters which are very leaky. Also, during all these experiments, the levels of LldR inside the cell were kept constant. The two binding sites of LldR were also conserved (same distance to the promoter and same sequences). It is therefore nice to see that the KM values do not vary a lot depending on the construct.

Experiment 2): Overexpressed LldP in LB

We then designed other constructs including the symporter LldP. We expected an increase in lactate import such that the E. coli cells became more sensitive. However, the designed promoters show completely different LldR levels compared to the previous experiments. That is why we can not extract the parameters for LldP symporter using both experiments, because the data sets are not comparable. We will therefore use the same fitting function as before. Below, the promoter levels computed with a RBS calculator and the registry are indicated.

Construct Expression of LldR(A. U.) Expression of LldP(A. U.)
LldR 51100
Low LldP- lldR 664 8400
High LldP- lldR 12 23.4

Parameter Fitting

We then fitted our model as explained before,and we obtained the following values for ON/OFF ratio and KM values.

Low LldP-LldR

Promoter Promoter Strength ON/OFF ratio KM (μM)
K822000unknown (natural) 1.16 720.2
K1847008 1621.42 337.7
K1847009 1429 0.96 459.8
K1847007 2547 1.29 1337

High LldP-LldR

Promoter Promoter Strength ON/OFF ratio KM (μM)
K822000unknown (natural) 8.04 1930
K1847008 162 23.96 1751
K1847009 1429 24.34 2361
K1847007 2547 3.85 1977

Observations

It is difficult to make a correct explanation here, since, both the levels of LldP and lldR change. However, in the first construct, we can clearly see that the leakiness is increased for small amounts of LldP/LldR. Consistent with our model, it is probably due to the insufficient levels of LldR. Since LldR is thought to repress the transcription, this could explain the leakiness.

Characterization of the lactate responsive promoter in mammalian medium

Below is displayed the response of one synthetic promoter in < a href= "https://2015.igem.org/Team:ETH_Zurich/Materials">RPMI- serum free medium. The promoter harboring the permease and LldR displays a much higher sensitivity than the one only harboring LldR. In the following, these parameters are going to be used to simulate the fold-change sensor.

Parameter value
KM 173 μM
ON/OFF 7
n 1.7

Characterization of the low engineered promoter

We would like to thank our sponsors