Team:ATOMS-Turkiye/Modeling
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<li>These are the four chemical reactions which represent each process.</li> | <li>These are the four chemical reactions which represent each process.</li> | ||
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<p style="text-indent:"25px">The symbol declaration is:</p> | <p style="text-indent:"25px">The symbol declaration is:</p> | ||
<li>X1 : HIF1-α</li> | <li>X1 : HIF1-α</li> | ||
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<li>Using the SimBiology toolbox for Matlab we created a framework of the pTRE-Tet Off System (Figure 1).</li> | <li>Using the SimBiology toolbox for Matlab we created a framework of the pTRE-Tet Off System (Figure 1).</li> | ||
</ul> | </ul> | ||
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<ul><li>We wrote down the seven chemical reactions in represent of each process.</li></ul> | <ul><li>We wrote down the seven chemical reactions in represent of each process.</li></ul> | ||
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<ul><li>The symbol decleration is:</li></ul> | <ul><li>The symbol decleration is:</li></ul> | ||
<p>X1: pCMV</p> | <p>X1: pCMV</p> | ||
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<li>After creating the basic framework for the model we needed to create mathematical equations for each reaction with appropriate rate constants. These equations and the corresponding values are shown below in Tables 1 and 2.</li> | <li>After creating the basic framework for the model we needed to create mathematical equations for each reaction with appropriate rate constants. These equations and the corresponding values are shown below in Tables 1 and 2.</li> | ||
</ul> | </ul> | ||
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<h3>What did it show???</h3> | <h3>What did it show???</h3> | ||
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</ul> | </ul> | ||
<h3>Modelling Results</h3> | <h3>Modelling Results</h3> | ||
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<h3>Experiment Result </h3> | <h3>Experiment Result </h3> | ||
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Revision as of 13:05, 17 October 2014
Modeling
Overview
1.Gene Expression Dynamics
Analysis of the problem
The symbol declaration is:
Finally, we assigned each process with a reaction rate constant.
How did we build it?
Figure1: The diagram of reactions was designed in the SimBiology toolbox for MATLAB.
What did it show?
- Before running the model, we had to decide on how the hypoxia response element affects gene expression The pCMV promoter (distincted from HRE) expressed approximately 0.15 nM and the [HRE- pCMV] complex expressed 1.86 nM of luciferase in 12 hours. In our simulations, we show that adding hypoxia response element in our promoter design increases the protein expression approximately 20 times more in hypoxic conditions.
- This data was then used to design an experiment that could be performed in the lab to verify the model. You can visit our results page to see the comparison.
2.Safety approach of gene expression dynamics of tetracycline regulatory system
pTRE-Tet Off System
- For clinical use and application, we are required to add new features in order to manage and monitor our therapy. To make this possible, we have designed our parts under tetracycline regulatory operon which interacts with the tetracycline antibiotic. This interaction results in the inhibition of our desired proteins production. Therefore clinician may use this as an advantage to stop the treatment when necessary.
- In order to realize how our system will work. We try to calculate the inhibition of production of interested protein by adding tetracycline antibiotic.
- Using the SimBiology toolbox for Matlab we created a framework of the pTRE-Tet Off System (Figure 1).
- We wrote down the seven chemical reactions in represent of each process.
- The symbol decleration is:
X1: pCMV
Y: tTA
X2 : [TetRE -PminiCMV]
X2Y: tTA[TetRE -PminiCMV]
X3 : Luciferase
Z : Tc
YZ: [Tc-tTA]
What did it show???
- In order to prove the safety of our project, we added a switch of mechanism in our design and we calculate how it will change the gene expression by modeling. Then, the result of model compared with wet lab experiments to check is it reliable or not.
- In our model approach, we calculated the final effect of addition of different amount of tetracycline on amount of interested protein.
- Inhibition of luciferase reached %25 by adding 106 molecules tetracycline in wet and dry lab results.