Team:Grenoble/Projet/Results/Quorum

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    <div  class="blocbackground" id="Optimization">
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    <h2>Optimization of the device</h2>
    <h2>Optimization of the device</h2>
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<p>
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As the modelling part shows our models for Quorum Sensing allowed us to have a visual representation of
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our entire device. This modelling highlighted the diffusion of the quorum sensing molecule.
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</p>
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<center><a href="https://static.igem.org/mediawiki/2011/9/91/Animatedplate.gif"><img src="https://static.igem.org/mediawiki/2011/9/91/Animatedplate.gif" class="centerwide"/></a><br/>
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<div class="legend"><strong>Figure 4:</strong> Animation generated through MATLAB for visual representation of our models and the complete deterministic simulation</div>
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        </center>
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        <p>
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Decreasing the accuracy of the measure, quorum sensing diffusion is a problem for our system. To fixe this problem,
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we decided to developed a device with channel containing each of them a different IPTG concentration but
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the same aTc concentration.
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        </p>
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        <center><a href="https://static.igem.org/mediawiki/2011/a/a2/IMG_5964_%28copie%29.JPG"><img src="https://static.igem.org/mediawiki/2011/a/a2/IMG_5964_%28copie%29.JPG" class="centerwide"/></a><br/>
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<div class="legend"><strong>Figure 5:</strong> First prototype of the device</div>
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</center>
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<p>
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This kind of device allows us to limit the diffusion of quorum sensing at one channel. Of course the measure won't be a unique concentration, but a range of concentration.
 +
However, the problem posed by quorum sensing diffusion would disrupt the measure more than the channel device (if there are
 +
a sufficent number of channel and a small enough IPTG step).
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</p>
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</div>
</div>
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<div  class="blocbackground" id="Optimization">
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<div  class="blocbackground" id="Test_QS">
    <h2>Test of the quorum sensing system</h2>
    <h2>Test of the quorum sensing system</h2>
</div>
</div>

Latest revision as of 21:21, 24 October 2011

Grenoble 2011, Mercuro-Coli iGEM


Quorum Sensing Achievements

Optimization of the device

As the modelling part shows our models for Quorum Sensing allowed us to have a visual representation of our entire device. This modelling highlighted the diffusion of the quorum sensing molecule.


Figure 4: Animation generated through MATLAB for visual representation of our models and the complete deterministic simulation

Decreasing the accuracy of the measure, quorum sensing diffusion is a problem for our system. To fixe this problem, we decided to developed a device with channel containing each of them a different IPTG concentration but the same aTc concentration.


Figure 5: First prototype of the device

This kind of device allows us to limit the diffusion of quorum sensing at one channel. Of course the measure won't be a unique concentration, but a range of concentration. However, the problem posed by quorum sensing diffusion would disrupt the measure more than the channel device (if there are a sufficent number of channel and a small enough IPTG step).

Test of the quorum sensing system