Team:Grenoble/Projet/Results

From 2011.igem.org

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<h1>Results</h1>
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<h2>Post-transcriptional regulation<h2>
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<P>The RsmA system has a homologous in Escherichia Coli named CsrA. We know these two system are extremely closed on structural and functional sides. The most difference between this two regulation systems is on target regulon. For example, in Pseudomonas aeruginosa Rsma regulate many virulence genes as type III secretion system (anja Brencic and Stephen Lory). In Escherichia coli, RsmA homologous regulate metabolic network. Our goal is to integrate this translational regulation system in the toggle switch. We need to know whether it influence the bacteria’s life.</P><a href="https://2011.igem.org/File:Growth_cur_final2.png"><img
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    <h2>Post-transcriptional regulation<h2>
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height="350px" src="https://2011.igem.org/File:Growth_cur_final2.png"
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<div class="left">
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alt="logo iGEM"/></a>
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<p>The RsmA system has a homologous in Escherichia Coli named CsrA. We know these two system are extremely closed on  
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<div class="legend"><strong><b>Figure 1 RsmA influence on DH5α growth.</b> Bacteria from overnight culture were reseeding in rich medium supplemented with tetracycline at 20mg/ml and also IPTG at the concentration given in the legend.</strong></div><p>Figure 1 present growth curve of DH5α carries into a plasmid pVLT31 with or without rsmA and Natural RBS cloned downstream the Plac promoter. Two triads can be seen. The triad containing the strains with empty plasmid shows an upper growth curve compared to the second triad carries pVLT31-rsmA. But it’s important to say that the two groups start their growth not at the same value. That explains a time lag between these two groups. After normalization of all curves, no differences between these two kind of bacteria could be seen. We conclude that the RsmA overexpression hasn’t effects on the growth of bacteria.</P>
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structural and functional sides. The most difference between this two regulation systems is on target regulon.  
 +
For example, in Pseudomonas aeruginosa Rsma regulate many virulence genes as type III secretion system  
 +
(anja Brencic and Stephen Lory). In Escherichia coli, RsmA homologous regulate metabolic network.  
 +
Our goal is to integrate this translational regulation system in the toggle switch. We need to know whether it influence  
 +
the bacteria’s life.</p>
 +
<a href="https://static.igem.org/mediawiki/2011/9/91/Growth_cur_final2.png"><img src="https://static.igem.org/mediawiki/2011/9/91/Growth_cur_final2.png"
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alt="logo iGEM"/></a>
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<div class="legend"><strong>Figure 1 RsmA influence on DH5α growth.</strong> Bacteria from overnight culture were reseeding in rich medium supplemented with tetracycline at 20mg/ml and also IPTG at the concentration given in the legend.</div>
 +
<p>Figure 1 present growth curve of DH5α carries into a plasmid pVLT31 with or without rsmA and Natural RBS cloned downstream  
 +
the Plac promoter. Two triads can be seen. The triad containing the strains with empty plasmid shows an upper growth curve  
 +
compared to the second triad carries pVLT31-rsmA. But it’s important to say that the two groups start their growth not at  
 +
the same value. That explains a time lag between these two groups. After normalization of all curves, no differences  
 +
between these two kind of bacteria could be seen. We conclude that the RsmA overexpression hasn’t effects on the growth of bacteria.</p>
</div>
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    <div  class="blocbackground" id="Toggle_results">
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document.getElementById('submenu').innerHTML = '<h3><span class="vert">Le Projet:</span> Results</h3><ul><li><a href="https://2011.igem.org/Team:Grenoble/Projet/Device">The device</a></li><li><a href="https://2011.igem.org/Team:Grenoble/Projet/Design">The genetic circuit :</a></li><li><a href="https://2011.igem.org/Team:Grenoble/Projet/Modelling">Modelling</a></li><li><a href="https://2011.igem.org/Team:Grenoble/Projet/Results">Results</a></li><li><a href="https://2011.igem.org/Team:Grenoble/Projet/Biobricks">Biobricks</a></li></ul>'
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    <h2>Construction of a Toggle Switch test</h2>
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</script>
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    <p>
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In order to test if our system could work, we construct a toggle switch test based on Gardner's work <a href="#1">[1]</a>.
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</p>
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<img src="https://static.igem.org/mediawiki/2011/1/1d/Toggle_GeoGeo%281%29.png" class="centerwide" style="box-shadow: none"/>
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<p>
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For realized this toggle, we used 4 primary bricks :
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<ul>
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<li>pTet : <a href="http://partsregistry.org/Part:BBa_R0040">BBa_R0040</a></li>
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<li>RBS-LacI-oo-pLac : <a href="http://partsregistry.org/Part:BBa_Q04121">BBa_Q04121</a></li>
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<li>RBS-GFP : <a href="http://partsregistry.org/Part:BBa_E0240">BBa_E0240</a></li>
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<li>RBS-TetR composed of RBS <a href="http://partsregistry.org/Part:BBa_B0034">BBa_B0034</a> and TetR <a href="http://partsregistry.org/Part:BBa_C0040">BBa_C0040</a></li>
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</ul>
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First we put RBS-GFP behind RBS-TetR, and Q04121 behind pTet: both size are around 1 500 bp. The following gel shows that both constructions
 +
were at the expected size. Construction were confirmed by sequencing.
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</p>
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    <img src="https://static.igem.org/mediawiki/2011/f/fa/1etape.png" class="centerwide" style="box-shadow: none"/>
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    <div class="legend">
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<strong>Figure 1:</strong>
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First step of cloning gel
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</div>
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    <p>
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In a last step of cloning, we put RBS-tetR-RBS-GFP behind pTet-Q04121. The size is around 3 000 bp. The following gel shows that
 +
constructions was at the expected size. In addition to this test, transformation of bacteria have grown on plate with IPTG to block
 +
them in the fluorescence way. And some of the bacteria were fluorescent. Construction was also confirmed by sequencing.
 +
    </p>
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<table class="noborudre">
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<tr>
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<td><img src="https://static.igem.org/mediawiki/2011/c/c5/Toggletest.png" class="centerwide" style="box-shadow: none"/>
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<div class="legend">
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<strong>Figure 2:</strong>
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Last step of cloning gel
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</div></td>
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<td><img src="https://static.igem.org/mediawiki/2011/8/82/Image_2.jpg" class="centerwide" style="box-shadow: none"/>
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<div class="legend">
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<strong>Figure 3:</strong>
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Fluorescence test picture
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</div></td>
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</tr>
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</table>
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<p>
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To test this system, bacterias had grown in an aTc preculture to block them in a nonfluorescent way. This bacteria were put
 +
in a 96 wells plate with a two dimensionnal gradient (aTc and IPTG). After 10 hours of acquisition, we obtained the following curve :
 +
</p>
 +
<img src="https://static.igem.org/mediawiki/2011/2/2d/Fusion.png" class="centerwide" style="box-shadow: none"/>
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<p>
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We can get from this graph that between an aTc concentration of 50ng/mL and 150 ng/mL there is a switch after 3 hours of experiment.
 +
However, we can see more fluorescence than expected. In fact, the GFP protein has an half life of 10 hours and it was impossible to get
 +
no fluorescence.
 +
</p>
 +
<p>
 +
We also did an experiment on bacterias which had grown in an IPTG preculture. But we did'nt see a switch because IPTG block bacterias in
 +
the fluorescence way. Because of the half life of GFP, it was possible to detect a switch only with bacteria which had grown with aTc.
 +
</p>
 +
<p>
 +
To go further, it will be very interesting to put an LVA tag on GFP in order to control its degradation. In this case we will be abble to see
 +
the switch in both case and with more magnitude.
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</p>
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</div>
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<div id="selector">
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<form method="get" >
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  <input type="button" value="< PREVIOUS <" onclick="document.location = '/Team:Grenoble/Projet/Modelling/Deterministic';" />
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    <optgroup label="Modelling Homepage">
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    <option value="#Content" >Table of content</option>
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    </optgroup>
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    <optgroup label="Deterministic Modelling" >
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                                    <option value="/Deterministic#Our_EquationsTS" >Our equations - Toggle switch</option>
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                                    <option value="/Deterministic#Our_EquationsQS" >Our equations - Quorum sensing</option>
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                                    <option value="/Deterministic#Our_algorithms" >Our algorithms</option>
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                                    <option value="/Deterministic#Isoclines">Nullclines and Hysteresis</option>
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                            </optgroup>
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                                    <option value="/Stochastic#Geof" selected="selected">Random Aspect of the system</option>
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                                    <option value="/Stochastic#Gillespie_algorithm">Gillespie algorithm</option>
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                                    <option value="/Stochastic#Stats">Mean, standard deviation and stats</option>
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                            </optgroup>
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                            <optgroup label="Parameters">
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    <option value="/Parameters">Our parameters</option>
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    </optgroup>
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                            <optgroup label="Results">
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    <option value="/Results#Validation">Validation of our Network</option>
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    <option value="/Results#Device">Device specificities</option>
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    </optgroup>
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                    <input type="hidden" name="id2" value="0" />
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                    <input type="submit" value="Go!" />
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  <input type="button" value="> NEXT >" onclick="document.location = '/Team:Grenoble/Projet/Modelling/Parameters';" />
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</div>
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Revision as of 03:46, 22 September 2011

Grenoble 2011, Mercuro-Coli iGEM


Post-transcriptional regulation

The RsmA system has a homologous in Escherichia Coli named CsrA. We know these two system are extremely closed on structural and functional sides. The most difference between this two regulation systems is on target regulon. For example, in Pseudomonas aeruginosa Rsma regulate many virulence genes as type III secretion system (anja Brencic and Stephen Lory). In Escherichia coli, RsmA homologous regulate metabolic network. Our goal is to integrate this translational regulation system in the toggle switch. We need to know whether it influence the bacteria’s life.

logo iGEM
Figure 1 RsmA influence on DH5α growth. Bacteria from overnight culture were reseeding in rich medium supplemented with tetracycline at 20mg/ml and also IPTG at the concentration given in the legend.

Figure 1 present growth curve of DH5α carries into a plasmid pVLT31 with or without rsmA and Natural RBS cloned downstream the Plac promoter. Two triads can be seen. The triad containing the strains with empty plasmid shows an upper growth curve compared to the second triad carries pVLT31-rsmA. But it’s important to say that the two groups start their growth not at the same value. That explains a time lag between these two groups. After normalization of all curves, no differences between these two kind of bacteria could be seen. We conclude that the RsmA overexpression hasn’t effects on the growth of bacteria.

Construction of a Toggle Switch test

In order to test if our system could work, we construct a toggle switch test based on Gardner's work [1].

For realized this toggle, we used 4 primary bricks :

First we put RBS-GFP behind RBS-TetR, and Q04121 behind pTet: both size are around 1 500 bp. The following gel shows that both constructions were at the expected size. Construction were confirmed by sequencing.

Figure 1: First step of cloning gel

In a last step of cloning, we put RBS-tetR-RBS-GFP behind pTet-Q04121. The size is around 3 000 bp. The following gel shows that constructions was at the expected size. In addition to this test, transformation of bacteria have grown on plate with IPTG to block them in the fluorescence way. And some of the bacteria were fluorescent. Construction was also confirmed by sequencing.

Figure 2: Last step of cloning gel
Figure 3: Fluorescence test picture

To test this system, bacterias had grown in an aTc preculture to block them in a nonfluorescent way. This bacteria were put in a 96 wells plate with a two dimensionnal gradient (aTc and IPTG). After 10 hours of acquisition, we obtained the following curve :

We can get from this graph that between an aTc concentration of 50ng/mL and 150 ng/mL there is a switch after 3 hours of experiment. However, we can see more fluorescence than expected. In fact, the GFP protein has an half life of 10 hours and it was impossible to get no fluorescence.

We also did an experiment on bacterias which had grown in an IPTG preculture. But we did'nt see a switch because IPTG block bacterias in the fluorescence way. Because of the half life of GFP, it was possible to detect a switch only with bacteria which had grown with aTc.

To go further, it will be very interesting to put an LVA tag on GFP in order to control its degradation. In this case we will be abble to see the switch in both case and with more magnitude.