Team:Northwestern/Project/MathModel

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<div style="margin: -55px 0px 0px 80px;font:35px helvetica; color:#ffffff;"> Project</div>
<div style="margin: -55px 0px 0px 80px;font:35px helvetica; color:#ffffff;"> Project</div>
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<div style="margin: -40px 0px 0px 400px;font:35px helvetica; color:#444444;">   &nbsp; Math Model</div>
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<div style="margin: -40px 0px 0px 400px;font:35px helvetica; color:#444444;">Modelling</div>
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<DIV style="font-size:20px">Modelling Overview</DIV>
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<DIV style="font-size:20px">Mathematical Model Overview</DIV>
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In our mathematical model we developed a system to characterize each of the two (las and rhl) plasmids. Simple detection is fairly straightforward. The engineered E. coli cells will be saturated with R-proteins (LasR and RhlR) due to constitutive production. In the presence of PAI-1 and PAI-2, the R-proteins and the autoinducers will dimerize which results in the induction of the induced promoter. Upon induction the induced promoters will express the reporter genes.
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In our mathematical model we developed a system to characterize each of the two (las and rhl) plasmids. Simple detection is fairly straightforward. The engineered E. coli cells will express R-proteins (LasR or RhlR) constitutively. In the presence of PAI-1 and PAI-2, the R-proteins and the autoinducers will dimerize, which results in the induction of the induced promoter. Upon induction the induced promoters will express the reporter genes.
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Our modeling approach will express the concentration of the relevant molecules as a system of first-order, nonlinear, ordinary differential equations. The associated variable and constants relevant to the generic model are detailed in the table below. Additionally, the [] indicate concentrations.
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Our modeling approach describes the time evolution of concentrations of the relevant molecules as a system of first-order, nonlinear, ordinary differential equations. The associated variable and constants relevant to the general model are detailed in the table below. Additionally, the [] indicate concentrations.
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<DIV style="font-size:20px">The Generic Mathematical Model</DIV>
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<DIV style="font-size:20px">General Mathematical Model</DIV>
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We have developed two distinct systems which can function independently of the other. They are the Las and Rhl plasmid systems. However, each system can be modeled using a similar approach, implementing a series differential equations. The generic model accounts for the production of the R-protein from the plasmid, diffusion of the autoinducer into the cell, and finally, the transcriptional activation and fluorescent reporting. A graphical representation of the biochemical system can be found below in Figure 1.
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We have developed two distinct biosensor systems which can function independently of one another. They are the Las and Rhl sensor systems. However, each system can be modeled using a similar approach, implementing a series differential equations. The general model accounts for the production of the R-protein from the plasmid, diffusion of the autoinducer into the cell, and finally, the transcriptional activation and production of fluorescent reporter protein. A graphical representation of the biochemical system can be found below in Figure 1.
<div align="center"><html><table class="image">
<div align="center"><html><table class="image">
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<caption align="bottom"></html>'''Figure 1:''' The generic model schematic which represents both Las and Rhl (plasmid) systems that we created <html></caption>
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<caption align="bottom"></html>'''Figure 1:''' The general model scheme that represents both Las and Rhl sensor systems that we created <html></caption>
<tr><td><img src="https://static.igem.org/mediawiki/2011/2/2c/Generic_system.jpg" style="opacity:1;filter:alpha(opacity=100);" width="600px" height="400px" alt="fig1"/ border="0"></td></tr></table></html></div>
<tr><td><img src="https://static.igem.org/mediawiki/2011/2/2c/Generic_system.jpg" style="opacity:1;filter:alpha(opacity=100);" width="600px" height="400px" alt="fig1"/ border="0"></td></tr></table></html></div>
   
   
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Our first assumption is that R-protein/autoinducer dimer (D) is produced at a rate r1 and degrades at rate r2. Additionally, D can act as a transcriptional factor and bind to the induced promoter (IP), which induces the expression of the reporter at the rate r6 and degrades back to D and IP at the rate r13. Rates r6 and r13 are introduced to the model as a hill equation,
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The R-protein/autoinducer dimer (D) can act as a transcription factor and bind to the induced promoter (IP), which induces the expression of the reporter at the rate r6 and degrades back to D and IP at the rate r13. Transcription and translation are described as a single step that follows a hill function, yielding:
<html><div align="center"><img src="https://static.igem.org/mediawiki/2011/5/59/DL.gif" style="opacity:1;filter:alpha(opacity=100);" width="398px" height="59px" alt="fig1"/ border="0"></div></html>
<html><div align="center"><img src="https://static.igem.org/mediawiki/2011/5/59/DL.gif" style="opacity:1;filter:alpha(opacity=100);" width="398px" height="59px" alt="fig1"/ border="0"></div></html>
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<DIV style="font-size:20px">The Las and Rhl Plasmid System</DIV>
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<DIV style="font-size:20px">Las and Rhl Plasmid System</DIV>
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The generic model will now be briefly applied to the Las and Rhl systems in the figure below. The increasing rate numbers are just indicative of independent reactions and rate constants for each reaction.  
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The general model will now be applied to the Las and Rhl systems in the figure below. The increasing rate numbers are just indicative of independent reactions and rate constants for each reaction.  
<div align="center"><html><table class="image">
<div align="center"><html><table class="image">
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<caption align="bottom"></html>'''Figure 2:''' Application of the generic model to the Las and the Rhl system <html></caption>
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<caption align="bottom"></html>'''Figure 2:''' Application of the general model to the Las and the Rhl system <html></caption>
<tr><td><img src="https://static.igem.org/mediawiki/2011/0/09/Applied_system.jpg" style="opacity:1;filter:alpha(opacity=100);" width="750px" height="275px" alt="fig1"/ border="0"></td></tr></table></html></div>
<tr><td><img src="https://static.igem.org/mediawiki/2011/0/09/Applied_system.jpg" style="opacity:1;filter:alpha(opacity=100);" width="750px" height="275px" alt="fig1"/ border="0"></td></tr></table></html></div>

Latest revision as of 23:16, 28 September 2011

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Mathematical Model Overview


In our mathematical model we developed a system to characterize each of the two (las and rhl) plasmids. Simple detection is fairly straightforward. The engineered E. coli cells will express R-proteins (LasR or RhlR) constitutively. In the presence of PAI-1 and PAI-2, the R-proteins and the autoinducers will dimerize, which results in the induction of the induced promoter. Upon induction the induced promoters will express the reporter genes.


Our modeling approach describes the time evolution of concentrations of the relevant molecules as a system of first-order, nonlinear, ordinary differential equations. The associated variable and constants relevant to the general model are detailed in the table below. Additionally, the [] indicate concentrations.


fig1


General Mathematical Model


We have developed two distinct biosensor systems which can function independently of one another. They are the Las and Rhl sensor systems. However, each system can be modeled using a similar approach, implementing a series differential equations. The general model accounts for the production of the R-protein from the plasmid, diffusion of the autoinducer into the cell, and finally, the transcriptional activation and production of fluorescent reporter protein. A graphical representation of the biochemical system can be found below in Figure 1.


Figure 1: The general model scheme that represents both Las and Rhl sensor systems that we created
fig1


The R-protein/autoinducer dimer (D) can act as a transcription factor and bind to the induced promoter (IP), which induces the expression of the reporter at the rate r6 and degrades back to D and IP at the rate r13. Transcription and translation are described as a single step that follows a hill function, yielding:

fig1


The R-protein is produced by the translation of the R-protein mRNA (RmRNA) at a rate r5 and degrades at the rate r10. Moreover, the R-protein can forward dimerize at the rate r1 and reverse at rate r2. RmRNA is transcribed at the rate r3 by the constitutive promoter (CP) and degrades at the rate r4,

fig1


Upon the binding of D to IP at the rate r6, GFP mRNA (GmRNA) is transcribed. GmRNA degrades at the rate r9 and is translated to GFP at the rate r7. GFP degrades at the rate r8,

fig1


The autoinducer PAI-1 diffuses passively into the cell as a result of the concentration gradient, cell volume, surface area and membrane thickness which establish the equation mass transfer1. The intracellular (A1i) and extracellular (A1e) PAI-1 degrade at the rate r11 and r12,

fig1


Las and Rhl Plasmid System


The general model will now be applied to the Las and Rhl systems in the figure below. The increasing rate numbers are just indicative of independent reactions and rate constants for each reaction.


Figure 2: Application of the general model to the Las and the Rhl system
fig1


Therefore, as we have shown above, our model can be applied with great ease to both the Las and Rhl systems. Hence it can be reused to model both of our (constructed plasmid) systems. However, in each for each system the rate constants will need to be updated, and the generic variables will represent a different set of biochemical-species.



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