Team:Oxford/biosensor characterisation
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<h1>Introduction: what are we characterising?</h1> | <h1>Introduction: what are we characterising?</h1> | ||
- | + | **Methylobacterium Extorquens DM4** in the presence of DCM expresses DcmA, a dichloromethane dehalogenase. | |
- | Within 1.5kb upstream of dcmA and in the opposite orientation is a second gene encoding DcmR, a regulatory protein that controls expression of DcmA:<br><br> | + | Within 1.5kb upstream of **dcmA** and in the opposite orientation is a second gene encoding DcmR, a regulatory protein that controls expression of DcmA:<br><br> |
<img src="https://static.igem.org/mediawiki/2014/0/06/Oxford_characterisation_1.png" style="float:right;position:relative; width:75%; margin-right:10%;margin-bottom:2%;" /><br><br><br><br><br><br><br><br><br> | <img src="https://static.igem.org/mediawiki/2014/0/06/Oxford_characterisation_1.png" style="float:right;position:relative; width:75%; margin-right:10%;margin-bottom:2%;" /><br><br><br><br><br><br><br><br><br> | ||
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<h1>Predicting the mCherry fluorescence</h1> | <h1>Predicting the mCherry fluorescence</h1> | ||
- | + | We simplified the first double repression by modelling it as an activation of dcmR by ATC, albeit parameterised by different constants. This assumption is justified by the fact that we are able to precisely control the addition of ATC and measure the fluorescence of the mCherry. | |
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<img src="https://static.igem.org/mediawiki/2014/2/2e/Oxford_DcmR_parameters.png" style="float:right;position:relative; height:8%; width:47%;" /> | <img src="https://static.igem.org/mediawiki/2014/2/2e/Oxford_DcmR_parameters.png" style="float:right;position:relative; height:8%; width:47%;" /> | ||
- | Deterministic models are very powerful tools | + | Deterministic models are very powerful tools for synthetic biology. They describe the behaviour of the bacteria at the population level and use Ordinary Differential Equations (ODEs) to relate each activation and repression. By constructing a cascade of differential equations one can build a realistic model of the average behaviour of the system. |
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- | The differential equation that | + | The differential equation that descibes this first step of the system is: |
Revision as of 15:04, 7 October 2014
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