Team:ETH Zurich/achievements

From 2013.igem.org

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<h1> We achieved </h1>
<h1> We achieved </h1>
<b>Pre-Processing:</b><br><br>
<b>Pre-Processing:</b><br><br>
-
- to characterize the AHL diffusion on agar plates and define, with predictions from the model and the experimental results, the distance between colonies, the strengh of the  promoter controlling LuxI production and the incubation time needed to establish a proper AHL gradient.<br>
+
- to characterize the AHL diffusion on agar plates and define, with predictions from the model and the [https://2013.igem.org/Team:ETH_Zurich/Experiments_2 experimental results], the distance between colonies, the strengh of the  promoter controlling LuxI production and the incubation time needed to establish a proper AHL gradient.<br>
- to establish several AHL gradients from different mines on one plate, intersections of gradients result in higher AHL levels for the detection of 1, 2 or 3 mines.<br>
- to establish several AHL gradients from different mines on one plate, intersections of gradients result in higher AHL levels for the detection of 1, 2 or 3 mines.<br>
-
- to make a 2D spatio-temporal model for AHL, that encompasses local reactions and diffusion.<br><br>
+
- to make a [https://2013.igem.org/Team:ETH_Zurich/Modeling/Reaction_Diffusion_OOHL 2D spatio-temporal model] for AHL, that encompasses local reactions and diffusion.<br><br>
   
   
<b>Processing:</b><br><br>
<b>Processing:</b><br><br>
-
- to design a P<sub>LuxR</sub> promoter 1st library by site directed mutagenisis and a 2nd on by rational design  with different EC<sub>50</sub>.<br>
+
- to create a [https://2013.igem.org/Team:ETH_Zurich/Experiments_5#first mutant first mutant] P<sub>LuxR</sub> variant form P<sub>LuxR</sub> wild-type promoter by site directed mutagenisis and a [https://2013.igem.org/Team:ETH_Zurich/Experiments_5#secondlibrary 2nd library] by rational design  with different EC<sub>50</sub>.<br>
-
- to measured the dose-response of those promoters by single cell analysis and determined the EC<sub>50</sub> going from 0.02 nM to 6482 nM in liquid culture and from 4.45 nM to 12'555 nM on agar plates.<br>
+
- to measure the dose-response of those promoters by [https://2013.igem.org/Team:ETH_Zurich/Experiments_5#first mutant single cell analysis] and determined the EC<sub>50</sub> going from 0.02 nM to 6482 nM in liquid culture (for the wild-type and G1) and from 4.45 nM to 12'555 nM on agar plates (for the whole library).<br>
-
- to find a analytical solution for the EC<sub>50</sub> of the promoter we need and therby choose the right candidate from the libary.<br>
+
- to find a [https://2013.igem.org/Team:ETH_Zurich/Modeling/Analytical_Approximations analytical solution] for the EC<sub>50</sub> of the promoter we need and therby choose the right candidate from the libary.<br>
-
&rArr; '''a proof-of-principle using a GFP reporter.'''<br><br>
+
&rArr; '''a [https://2013.igem.org/Team:ETH_Zurich/Experiments_6 proof-of-principle] using a GFP reporter.'''<br><br>
   
   
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<b>Optimization:</b>
<b>Optimization:</b>
<br><br>
<br><br>
-
- the identification of the leakiness source.<br>
+
- the identification of the [https://2013.igem.org/Team:ETH_Zurich/Optimization leakiness source].<br>
-
- to model different solution to reduce the leakiness, such as destabilization of proteins and double negative feedback loop.<br>
+
- to model [https://2013.igem.org/Team:ETH_Zurich/Optimization different solution] to reduce the leakiness, such as destabilization of proteins and double negative feedback loop.<br>
-
- to optimize the circuit to reduce the leakiness by introduction of a positive feedback loop.<br>
+
- to [https://2013.igem.org/Team:ETH_Zurich/Optimization optimize the circuit] to reduce the leakiness by introduction of a positive feedback loop.<br>
   
   
<b>Output:</b><br><br>
<b>Output:</b><br><br>
-
- to implement several reporters (hydrolases and fluorescent proteins) in one construct.<br>
+
- to implement [https://2013.igem.org/Team:ETH_Zurich/Experiments_3 several reporters] (hydrolases and fluorescent proteins) in one construct.<br>
-
- to show different colorimetric responses (yellow, salmon, magenta, violett, green and blue) for five hydrolases.<br>
+
- to show different [https://2013.igem.org/Team:ETH_Zurich/Experiments_3 colorimetric responses] (yellow, salmon, magenta, violett, green and blue) for five hydrolases.<br>
-
- to show the orthogonality between hydrolase.<br>
+
- to show the [https://2013.igem.org/Team:ETH_Zurich/Experiments_3#orthogonal orthogonality] between hydrolase.<br>
-
- to characterize the hydrolases with Michaelis-Menten kinetics.<br>
+
- to show a [https://2013.igem.org/Team:ETH_Zurich/Experiments_3#overlay color overlay].
 +
- to [https://2013.igem.org/Team:ETH_Zurich/Experiments_3 characterize] the hydrolases with Michaelis-Menten kinetics.<br>
&rArr; '''A preliminary game with the hydrolases.'''<br><br>
&rArr; '''A preliminary game with the hydrolases.'''<br><br>
<b>Information processing:</b><br><br>
<b>Information processing:</b><br><br>
-
- to establish a spatio-temporal model of the proof-of-principle and the final game.
+
- to establish a spatio-temporal model of the [https://2013.igem.org/Team:ETH_Zurich/GFP proof-of-principle] and the [https://2013.igem.org/Team:ETH_Zurich/Modeling final game].
<b>Human practice:</b><br><br>
<b>Human practice:</b><br><br>
-
- analyze the relationship between synthetic biology and games.<br>
+
- analyze the [https://2013.igem.org/Team:ETH_Zurich/Human relationship] between synthetic biology and games.<br>
-
- remote controled roboter playing of the game.<br>
+
- remote controled [https://2013.igem.org/Team:ETH_Zurich/World roboter playing] of the game.<br>
-
- set-up an educational kit containing all parts needed to built up Colisweeper.<br>
+
- set-up an [https://2013.igem.org/Team:ETH_Zurich/HEducational educational kit] containing all parts needed to built up Colisweeper.<br>
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{{:Team:ETH_Zurich/templates/footer}}
{{:Team:ETH_Zurich/templates/footer}}

Revision as of 19:53, 28 October 2013

Header2.png
80px-Eth igem logo.png

We achieved

Pre-Processing:

- to characterize the AHL diffusion on agar plates and define, with predictions from the model and the experimental results, the distance between colonies, the strengh of the promoter controlling LuxI production and the incubation time needed to establish a proper AHL gradient.
- to establish several AHL gradients from different mines on one plate, intersections of gradients result in higher AHL levels for the detection of 1, 2 or 3 mines.
- to make a 2D spatio-temporal model for AHL, that encompasses local reactions and diffusion.


Processing:

- to create a mutant first mutant PLuxR variant form PLuxR wild-type promoter by site directed mutagenisis and a 2nd library by rational design with different EC50.
- to measure the dose-response of those promoters by mutant single cell analysis and determined the EC50 going from 0.02 nM to 6482 nM in liquid culture (for the wild-type and G1) and from 4.45 nM to 12'555 nM on agar plates (for the whole library).
- to find a analytical solution for the EC50 of the promoter we need and therby choose the right candidate from the libary.

a proof-of-principle using a GFP reporter.


Optimization:

- the identification of the leakiness source.
- to model different solution to reduce the leakiness, such as destabilization of proteins and double negative feedback loop.
- to optimize the circuit to reduce the leakiness by introduction of a positive feedback loop.


Output:

- to implement several reporters (hydrolases and fluorescent proteins) in one construct.
- to show different colorimetric responses (yellow, salmon, magenta, violett, green and blue) for five hydrolases.
- to show the orthogonality between hydrolase.
- to show a color overlay. - to characterize the hydrolases with Michaelis-Menten kinetics.

A preliminary game with the hydrolases.

Information processing:

- to establish a spatio-temporal model of the proof-of-principle and the final game.

Human practice:

- analyze the relationship between synthetic biology and games.
- remote controled roboter playing of the game.
- set-up an educational kit containing all parts needed to built up Colisweeper.