Tristable/Testing Constructs

From 2007.igem.org

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===Synthesis Rate===
===Synthesis Rate===
The combined transcription/translation rate of the repressor is the combined strength of the promoter and the RBS.  In [[Image:alphaTest.png|thumb|left|The Alpha test Architecture]]our model this is the alpha value.  Our model predicts that the alpha values for each repressor should be fairly comparable (the stable region is along the 1 to 1 to 1 line in 3D).  Since we can't change the promoter strength very easily, we will change the RBS strength to obtain similar alpha values for all repressors.
The combined transcription/translation rate of the repressor is the combined strength of the promoter and the RBS.  In [[Image:alphaTest.png|thumb|left|The Alpha test Architecture]]our model this is the alpha value.  Our model predicts that the alpha values for each repressor should be fairly comparable (the stable region is along the 1 to 1 to 1 line in 3D).  Since we can't change the promoter strength very easily, we will change the RBS strength to obtain similar alpha values for all repressors.
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The full testing construct will look like:
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Constitutive Promoter>>RBS>>Repressor of Interest>>Term
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Promoter of Interest>>RBS>>Reporter>>Term
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The respective ligand would be added to the system at t=0, repressor would fall off the operator region and Reporter would start to be produced.  We would measure this production rate and determine alpha.
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===Cooperativity of Repression===
===Cooperativity of Repression===
The cooperativity describes an inherent characteristic of a repressor's repression.  In our system we want to know how [[Image:betaTest.png|thumb|left|The Beta test Architecture]]much increased repressor concentration will increase repression.  In our model, cooperativity is an exponent, beta, so that the repressor concentration is raised to the beta ([repressor]^beta = total repression).  For beta = 1, repression increases linearly with repressor concentration.  With twice as much repressor there is twice the repression.  For beta = 2, repression increases with the square of the concentration.  Twice as much repressor leads to four times the repression.  Our model predicts that our system will be more robust with greater beta values and the tri stable region (in the graph) will be larger.  Betas must be larger than one for the system to be stable.   
The cooperativity describes an inherent characteristic of a repressor's repression.  In our system we want to know how [[Image:betaTest.png|thumb|left|The Beta test Architecture]]much increased repressor concentration will increase repression.  In our model, cooperativity is an exponent, beta, so that the repressor concentration is raised to the beta ([repressor]^beta = total repression).  For beta = 1, repression increases linearly with repressor concentration.  With twice as much repressor there is twice the repression.  For beta = 2, repression increases with the square of the concentration.  Twice as much repressor leads to four times the repression.  Our model predicts that our system will be more robust with greater beta values and the tri stable region (in the graph) will be larger.  Betas must be larger than one for the system to be stable.   
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 +
 +
The full testing construct looks like:
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 +
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Constitutive Promoter>>RBS>>LuxR>>Term
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pLux>>RBS>>Repressor of Interest>>RBS>>Reporter1>>Term
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Promoter of Interest>>RBS>>Reporter2>>Term
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Initially the Repressor would be off and Reporter2 would be on. Then when AHL is added at varying concentrations, the repressor and Reporter1 are synthesized.  Reporter1 concentration will increase linearly with Repressor so we will compare the Reporter1 vs. Reporter2, fit a curve the relation and determine to what power Reporter1 decreases, the beta value.
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Latest revision as of 06:54, 25 October 2007

Brown University
Home Lead Sensor Tristable Switch Community Supplemental About us


Contents

Testing Constructs

There are two methods we could follow in designing the Switch. We could randomly try different RBSs, hope it works and if not try again without having much of an understanding of why our constructs didn't work work in the first place. Or we can test our repressors, promoters and inducers and have a systematic approach to anaylizing our system so that when something works or doesn't work we will know why. Thus, we have designed a few tests which should give us relative and absolute values of parameters in our system that we can then plug into the model.

We decided to test for three values. The combined transcription/translation rate of each repressor, the cooperativity of each repressor and the concentration of ligand needed to deactivate each repressor. We managed to design three tests all using the same constructs so as to minimize ligations. These tests should determine our variables independantly, i.e. changing synthesis rate should not change cooperativity of repression.


Synthesis Rate

The combined transcription/translation rate of the repressor is the combined strength of the promoter and the RBS. In
The Alpha test Architecture
our model this is the alpha value. Our model predicts that the alpha values for each repressor should be fairly comparable (the stable region is along the 1 to 1 to 1 line in 3D). Since we can't change the promoter strength very easily, we will change the RBS strength to obtain similar alpha values for all repressors.



The full testing construct will look like:

Constitutive Promoter>>RBS>>Repressor of Interest>>Term Promoter of Interest>>RBS>>Reporter>>Term

The respective ligand would be added to the system at t=0, repressor would fall off the operator region and Reporter would start to be produced. We would measure this production rate and determine alpha.








Cooperativity of Repression

The cooperativity describes an inherent characteristic of a repressor's repression. In our system we want to know how
The Beta test Architecture
much increased repressor concentration will increase repression. In our model, cooperativity is an exponent, beta, so that the repressor concentration is raised to the beta ([repressor]^beta = total repression). For beta = 1, repression increases linearly with repressor concentration. With twice as much repressor there is twice the repression. For beta = 2, repression increases with the square of the concentration. Twice as much repressor leads to four times the repression. Our model predicts that our system will be more robust with greater beta values and the tri stable region (in the graph) will be larger. Betas must be larger than one for the system to be stable.


The full testing construct looks like:


Constitutive Promoter>>RBS>>LuxR>>Term

pLux>>RBS>>Repressor of Interest>>RBS>>Reporter1>>Term

Promoter of Interest>>RBS>>Reporter2>>Term

Initially the Repressor would be off and Reporter2 would be on. Then when AHL is added at varying concentrations, the repressor and Reporter1 are synthesized. Reporter1 concentration will increase linearly with Repressor so we will compare the Reporter1 vs. Reporter2, fit a curve the relation and determine to what power Reporter1 decreases, the beta value.





Ligand Concentration

Naturally, we don't want to add more ligand than we need. In what ever application the project might find, if we wanted to change the state again by adding a different
The Ligand test Architecture
ligand, we wouldn't want excessive amounts of the first ligand floating around.


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