Team:ETH Zurich/achievements
From 2013.igem.org
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<b>Processing:</b><br><br> | <b>Processing:</b><br><br> | ||
- to design a P<sub>LuxR</sub> promoter 1st libary by site directed mutagenisis and a 2nd on by rational design with different EC<sub>50</sub>.<br> | - to design a P<sub>LuxR</sub> promoter 1st libary by site directed mutagenisis and a 2nd on 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. | + | - 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 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 analytical solution for the EC<sub>50</sub> of the promoter we need and therby choose the right candidate from the libary.<br> | ||
Revision as of 13:16, 28 October 2013
We achieved
Pre-Processing:
- to characterize the AHL diffusion on agar plates and define, with the predition from the model and the experimental results, the distance between colonies, the strengh of the promoter controlling LuxI production and the incubation time for the diffusion.
- to astablish 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 spatio-temporal reaction-diffusion model of AHL.
Processing:
- to design a PLuxR promoter 1st libary by site directed mutagenisis and a 2nd on by rational design with different EC50.
- to measured the dose-response of those promoters by single cell analysis and determined the EC50 going from 0.02 nM to 6482 nM in liquid culture and from 4.45 nM to 12'555 nM on agar plates.
- 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 leakyness source.
- to model different solution to reduce the leakiness.
- to optimize the circuit to reduce the leakiness by introduction of a negative feedback loop.
Output:
- to implement several different reporters (hydrolases and fluorencent proteins) in one construct.
- to show different colormetric (yellow, salmon, violett, green, blue) response for 5 hydrolases.
- to show the orthogonality of all hydrolases.
- to characterize the hydrolases by 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.