Difference between revisions of "Team:Imperial College/Model"

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           <h3> Diffusion modelling</h3>
           <h3>What is Modelling?</h3>
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           <p2>We wanted to know whether or not it was feasible to use electrodes on top of an agar plate to create a localised, well-defined oxidising or reducing environment. Modelling the diffusion of an arbitrary chemical species away from an electrode would give us a measure of both; the spatial resolution we could expect from the induced concentration profile and also whether or not we could feasibly create enough of a difference in the concentrations of oxidised and reduced species within that region that the cells would perform differently to cells far away from the electrode.
           <p2>Constructing and manipulating abstract (mathematical and/or graphical) representations of economic, engineering, manufacturing, social, and other types of situations and natural phenomenon, simulated with the help of a computer system. Also called computer simulation.  
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        <h3>Why is Modelling important in biological studies?</h3>
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        <p2>Computer modeling simulates the interaction among many different variables to provide scientists with a general idea of how a biological system may work.</p2>
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  <!--Start Experiment 1-->
 
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                 <h4 class="underbold" > Assembling the Pixcell Constructs</h4>
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                 <h4 class="underbold" > Analytical Evaluation</h4>
 
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                               <p class="expand expt1p colorChange" style="font-size:25px;padding-top:1px;" >Access All</p>
 
                               <p class="expand expt1p colorChange" style="font-size:25px;padding-top:1px;" >Access All</p>
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                 <div type="button" class="accordion"> Description </div>
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                 <div type="button" class="accordion">Purpose</div>
 
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                 <div class="description">
                     <p> The PixCell Construct consists of a repurposed version of the soxRS regulon from E. coli, consisting of SoxR and GFP being expressed from either side of the pSoxR/pSoxS bidirectional promoter. pSoxR provides constitutive expression of SoxR. When oxidised, either directly by redox-cycling molecule or by oxidative stress, SoxR binds and activates transcription of GFP downstream of pSoxS.</p>
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                     <p> We wanted to perform the initial evaluation for the concentration profile by hand to ensure we knew every assumption made in its entirety, and to maximise our understanding of the system. We did not want to simply use numerical modelling software without first understanding enough about the system to be able to identify aberrant results and unjustified assumptions.</p>
 
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                 <div type="button" class="accordion">Relevance</div>
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                 <div type="button" class="accordion">Method</div>
 
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                     <p> The Pixcell construct was designed to test whether we could control the expression of GFP by controlling the oxidation state of SoxR through our electrochemical set up.</p>
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                     <p> The We initially modelled the diffusion of the chemical species away from the electrode by treating the electrode as a disc source with a constant flux of the molecule across it. We then constructed the problem by assuming that the agar medium itself was not generating additional molecules, and therefore that the only source of said molecules was the disc electrode. This assumption, combined with the conservation of species, allows us to describe the concentration of the species within the agar with the partial differential equation known as the Laplace equation. The Laplace equation in this situation represents the idea that the number of molecules arriving at a point in space per unit time is equal to the number of molecules that leave that space per unit time.
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The radially symmetric nature of the problem (the problem looks the same from any angle, as the electrode is a disc, not a rectangle or any other shape) allows us to use the 2D axisymmetric form of the Laplace equation, rather than the full 3D form, which makes solving the problem easier.
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</p>
 
                 </div>
 
                 </div>
  
                   <div type="button" class="accordion">Results</div>
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                   <div type="button" class="accordion">Assumptions</div>
 
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       <p> Using the Golden Gate assembly method, with two inserts; the SOXRS regulon and GFP, which were originally amplified out from the E. coli genome and a storage vector respectively, the construct was assembled. Gel electrophoresis showed that a construct of approximately the right length was produced and the construct was then sequence verified. </p>
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       <p> Due to the slow speed of diffusion, and the square root proportionality between time and diffusion distance, we assumed that the agar plate was arbitrarily deep, and that the concentration of the species tended to 0 as depth (z) increased. This can also be conceptualised as the diffusion “front” not reaching the bottom of the plate within the timescales that we are interested in. This assumption was also applied in the radial direction (ie the diffusion front does not reach the edge of the agar plate). This assumption was later confirmed through the use of Comsol modelling. (INSERT LINK?) We also constrained the problem to positive values of z, meaning that no molecules can leave the agar through its top surface. We also assumed that the chemical species analysed would not adsorb onto, or otherwise interact with, the agar medium.  
     
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      <div class="caption">
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          <p><b>Figure 1.</b> PCR results from the amplification of the entire construct</p>
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      <p>In order to lower the basal level of GFP expression a degradation tag was added. Therefore, any increase in GFP expression induced by the oxidation of SoxR would be more predominant.</p>
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            <img class="figure" src="https://static.igem.org/mediawiki/2018/2/26/T--Imperial_College--PixcellConstructDEGTAG.png">
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            <div class="caption">
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            <p><b>Figure 1.</b> Illustration of the PixCell Construct DegTag</p>
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                 <div type="button" class="accordion" >Summary</div>
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                 <div type="button" class="accordion" >Solution</div>
 
                 <div class="panel expt1p">
 
                 <div class="panel expt1p">
                     <p> The Pixcell construct enables us to test whether we can control gene expression by controlling the oxidation state of soxR. The Pixcell construct DegTag enables the system to be more dynamic in that seeing the system switch from on to off is quicker. </p>
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                     <p> The full mathematical solution for the problem, as well as the justification for the assumption that the molecules are only transported by diffusion, is given in the appendix (INSERT LINK FILE OR SMTH). However, we shall say here that the problem was formulated in cylindrical coordinates (again due to the radially symmetric nature of the problem), and non-dimensionalised both to simplify working and to generalise the problem to any desired scales (scales here meaning length scale of the problem and scale of diffusion, normalised for diffusion constant and flux through the electrode). The scalings are given below. The problem was evaluated analytically and by hand up until the last step. That last step involved the evaluation of a complicated infinite integral, which was non-trivial. However, because the integrand tends to 0 as the variable tends to infinity, use of numerical integration in this case was justified to give the solution for the dimensionless concentration profile.
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SCALING FORMULAE
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INSERT (IntegrandPlot1)
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The exact magnitude of concentration for a given species at a specific flux can be found through simply reinserting the diffusion coefficient for that species. Interestingly, the diffusion coefficients for the species of interest are all reasonably similar, and so give reasonably similar results. Despite this, a wider range of diffusion coefficients was tested (between 5e-10m^2s^-1 and 1e-9m^2s^-1) to account for any differences from literature value due to interactions with the agar medium, or differences due to molecular interactions within the solution.
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</p>
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              <div type="button" class="accordion">Results and conclusions</div>
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                <div class="panel expt1p">
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                    <p> Observing the scalings for the non-dimensionalised problem, it can be seen that the width of the concentration distribution is directly proportional to the electrode radius, and therefore scales linearly with it. The concentration at any given point is directly proportional to the flux through the electrode, and inversely proportional to the Diffusion coefficient. The half-maximal width of the concentration profile is 1.145 times the electrode diameter, which confirms the feasibility of generating spatially resolved regions of oxidising or reducing environment, with the resolution limited only by the electrode radius, which can be considered an engineering parameter. INSERT JUSTIFICATION FOR SPACING
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PLOT OF DIFFERENT D (SSforDs)
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SURF OF PROFILE
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RADIAL PLOT
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Revision as of 22:12, 16 October 2018

Modelling



Diffusion modelling

We wanted to know whether or not it was feasible to use electrodes on top of an agar plate to create a localised, well-defined oxidising or reducing environment. Modelling the diffusion of an arbitrary chemical species away from an electrode would give us a measure of both; the spatial resolution we could expect from the induced concentration profile and also whether or not we could feasibly create enough of a difference in the concentrations of oxidised and reduced species within that region that the cells would perform differently to cells far away from the electrode.

Analytical Evaluation

Access All

Purpose

We wanted to perform the initial evaluation for the concentration profile by hand to ensure we knew every assumption made in its entirety, and to maximise our understanding of the system. We did not want to simply use numerical modelling software without first understanding enough about the system to be able to identify aberrant results and unjustified assumptions.

Figure 1. Illustration of the PixCell Construct

Method

The We initially modelled the diffusion of the chemical species away from the electrode by treating the electrode as a disc source with a constant flux of the molecule across it. We then constructed the problem by assuming that the agar medium itself was not generating additional molecules, and therefore that the only source of said molecules was the disc electrode. This assumption, combined with the conservation of species, allows us to describe the concentration of the species within the agar with the partial differential equation known as the Laplace equation. The Laplace equation in this situation represents the idea that the number of molecules arriving at a point in space per unit time is equal to the number of molecules that leave that space per unit time.
The radially symmetric nature of the problem (the problem looks the same from any angle, as the electrode is a disc, not a rectangle or any other shape) allows us to use the 2D axisymmetric form of the Laplace equation, rather than the full 3D form, which makes solving the problem easier.

Assumptions

Due to the slow speed of diffusion, and the square root proportionality between time and diffusion distance, we assumed that the agar plate was arbitrarily deep, and that the concentration of the species tended to 0 as depth (z) increased. This can also be conceptualised as the diffusion “front” not reaching the bottom of the plate within the timescales that we are interested in. This assumption was also applied in the radial direction (ie the diffusion front does not reach the edge of the agar plate). This assumption was later confirmed through the use of Comsol modelling. (INSERT LINK?) We also constrained the problem to positive values of z, meaning that no molecules can leave the agar through its top surface. We also assumed that the chemical species analysed would not adsorb onto, or otherwise interact with, the agar medium.

Solution

The full mathematical solution for the problem, as well as the justification for the assumption that the molecules are only transported by diffusion, is given in the appendix (INSERT LINK FILE OR SMTH). However, we shall say here that the problem was formulated in cylindrical coordinates (again due to the radially symmetric nature of the problem), and non-dimensionalised both to simplify working and to generalise the problem to any desired scales (scales here meaning length scale of the problem and scale of diffusion, normalised for diffusion constant and flux through the electrode). The scalings are given below. The problem was evaluated analytically and by hand up until the last step. That last step involved the evaluation of a complicated infinite integral, which was non-trivial. However, because the integrand tends to 0 as the variable tends to infinity, use of numerical integration in this case was justified to give the solution for the dimensionless concentration profile. SCALING FORMULAE INSERT (IntegrandPlot1) The exact magnitude of concentration for a given species at a specific flux can be found through simply reinserting the diffusion coefficient for that species. Interestingly, the diffusion coefficients for the species of interest are all reasonably similar, and so give reasonably similar results. Despite this, a wider range of diffusion coefficients was tested (between 5e-10m^2s^-1 and 1e-9m^2s^-1) to account for any differences from literature value due to interactions with the agar medium, or differences due to molecular interactions within the solution.

Results and conclusions

Observing the scalings for the non-dimensionalised problem, it can be seen that the width of the concentration distribution is directly proportional to the electrode radius, and therefore scales linearly with it. The concentration at any given point is directly proportional to the flux through the electrode, and inversely proportional to the Diffusion coefficient. The half-maximal width of the concentration profile is 1.145 times the electrode diameter, which confirms the feasibility of generating spatially resolved regions of oxidising or reducing environment, with the resolution limited only by the electrode radius, which can be considered an engineering parameter. INSERT JUSTIFICATION FOR SPACING PLOT OF DIFFERENT D (SSforDs) SURF OF PROFILE RADIAL PLOT