Difference between revisions of "Team:TUDelft/DennisModel"

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<p> Dr. Timon Idema <br>
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Dr. Christophe Danelon
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<a class="toggle" href="javascript:void(0);" ><b>Q2 How does this iFFL behave?</b></a>
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<a class="toggle" href="javascript:void(0);" ><b>Supervisors</b></a>
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<a class="toggle" href="javascript:void(0);" ><b>Q3 How robust is this system when transferring between organisms?</b></a>
 
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<p> Esengül Yildrim <br>
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Dr. David Foschepoth<br>
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Elisa Godino<br>
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Charlotte Koster<br>
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Dr. Zoë Robaey<br>
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Britte Bouchaut
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Revision as of 15:45, 4 September 2019

Sci-Phi 29


Overview

The main goal of our project revolves around predictability. Without predictability, we cannot reliably design and implement synthetic biology solutions. However, when transferring genetic circuits between different organisms, many variables change. This dramatically increases the uncertainty of the outcome. With our modeling, we aim to demonstrate ways to make a genetic circuit independent of some of these variables, thereby decreasing this uncertainty. We couple our model with a software tool that determines a coding sequence for each gene involved in the circuit in such a way that they have similar codon usage bias across species of interest.

TALE - Incoherent Feed Forward Loop to control gene expression

In our system we make use of a commonly applied control system called an Incoherent Feed Forward Loop (iFFL). This control system is established through the expression of a Transcription activator-like effector (TALE) protein which binds to the promoter of a gene of interest and thus repressing the expression, developed by … . TALE proteins recognize DNA by a simple DNA-binding mechanism which can be altered to recognize any sequence you want … .