Team:ETH Zurich/modeling/qs

From 2014.igem.org

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m (Cross-talk)
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== Cross-talk ==
== Cross-talk ==
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We investigated the existence of cross-talk between three quorum sensing systems (Lux, Las and Rhl). Cross-talk implies non-orthogonality of the communication systems. It corresponds to the fact that LasAHL can activate the Lux promoter, even if it is not its native communicating pathway.
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We investigated the existence of cross-talk between three quorum sensing systems (Lux, Las and Rhl). Each quorum sensing system is based on three components: a signaling molecule, a regulatory protein and a promoter. Cross-talk implies non-orthogonality of the communication systems. It corresponds to the fact that LasAHL can activate the Lux promoter, even if it is not its native communicating pathway. There are 27 combinations possible and only 3 native combinations between signaling molecule, regulatory protein and promoter.
[[File:ETH Zurich Crosstalk.png|1500px|center|thumb|Each quorum sensing system is based on three components: a signaling molecule, a regulatory protein and a promoter. These elements are here ordered into three layers. Cross-talk evaluation can be done by comparing all combinations of those three elements. After collecting the [http://2014.igem.org/Team:ETH_Zurich/expresults experimental data] of all possible pathways, we modeled their influence.]]
[[File:ETH Zurich Crosstalk.png|1500px|center|thumb|Each quorum sensing system is based on three components: a signaling molecule, a regulatory protein and a promoter. These elements are here ordered into three layers. Cross-talk evaluation can be done by comparing all combinations of those three elements. After collecting the [http://2014.igem.org/Team:ETH_Zurich/expresults experimental data] of all possible pathways, we modeled their influence.]]
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*[http://parts.igem.org/Part:BBa_C0171:Experience BBa_C0171]
*[http://parts.igem.org/Part:BBa_C0171:Experience BBa_C0171]
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Each experimental data set was fitted to an Hill function using the Least Absolute Residual method.  
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Each experimental data set was fitted to an Hill function using the [http://2014.igem.org/Team:ETH_Zurich/modeling/parameters Least Absolute Residual method].  
$$rFluo = a + b \frac{[AHL]^n}{K_m^n + [AHL]^n}$$
$$rFluo = a + b \frac{[AHL]^n}{K_m^n + [AHL]^n}$$

Revision as of 07:19, 17 October 2014

iGEM ETH Zurich 2014