Difference between revisions of "Team:Toronto/Analysis"

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<div id="subsection-Introduction" class="subsection">
 
<div id="subsection-Introduction" class="subsection">
<h2 class="text-yellow">Introduction</h2>
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<h2 class="text-yellow">MathWorks Simulations</h2>
 
         <p>Using the previously derived expressions from our ODEs, we use the Mathworks Simulink package to derive solutions to our system and model our system for a range of parameters. </p>
 
         <p>Using the previously derived expressions from our ODEs, we use the Mathworks Simulink package to derive solutions to our system and model our system for a range of parameters. </p>
 
<figure>
 
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<div class="image"><img src="https://static.igem.org/mediawiki/2017/5/54/T--Toronto--2017_anti_crispr.png" alt="data" width="200px"></div>
 
<div class="image"><img src="https://static.igem.org/mediawiki/2017/5/54/T--Toronto--2017_anti_crispr.png" alt="data" width="200px"></div>
 
    <div class="image"><img src="https://static.igem.org/mediawiki/2017/2/23/T--Toronto--2017_ci_anti.png" alt="data" width="200px"></div>
 
    <div class="image"><img src="https://static.igem.org/mediawiki/2017/2/23/T--Toronto--2017_ci_anti.png" alt="data" width="200px"></div>
<figcaption>Figure 1:
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<figcaption>Figure 1:<br>
<p>A)<b>cI Protein Simulation</b> Lower cI protein concentrations in the dark (LacILOV is bound, Eq. 1)</p>
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A)<b>cI Protein Simulation</b> Lower cI protein concentrations in the dark (LacILOV is bound, Eq. 1)<br>
<p>B)<b>sgRNA Simulation</b> Lower sgRNA protein concentrations in the dark (LacILOV is bound, Eq. 2)</p>
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B)<b>sgRNA Simulation</b> Lower sgRNA protein concentrations in the dark (LacILOV is bound, Eq. 2)<br>
<p>C)<b>anti-CRISPR Simulation</b> Anti-CRISPR expression inversely proportional to LacILOV activation, Eq. 3)</p>
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C)<b>anti-CRISPR Simulation</b> Anti-CRISPR expression inversely proportional to LacILOV activation, Eq. 3)<br>
<p>D) <b>anti-CRISPR vs cI Protein</b>Anti-CRISPR protein concentration increases in lower cI concentration</p></figcaption>
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D) <b>anti-CRISPR vs cI Protein</b>Anti-CRISPR protein concentration increases in lower cI concentration</figcaption>
 
</div>
 
</div>
 
</figure>
 
</figure>

Revision as of 02:05, 16 December 2017

Analysis

MathWorks Simulations

Using the previously derived expressions from our ODEs, we use the Mathworks Simulink package to derive solutions to our system and model our system for a range of parameters.

data
data
data
data
Figure 1:
A)cI Protein Simulation Lower cI protein concentrations in the dark (LacILOV is bound, Eq. 1)
B)sgRNA Simulation Lower sgRNA protein concentrations in the dark (LacILOV is bound, Eq. 2)
C)anti-CRISPR Simulation Anti-CRISPR expression inversely proportional to LacILOV activation, Eq. 3)
D) anti-CRISPR vs cI ProteinAnti-CRISPR protein concentration increases in lower cI concentration

ODE Solution

Solving:

\begin{eqnarray} \frac{x_2}{dt} = \alpha - \gamma x_2 \\ \frac{x_2}{dt} + \gamma x_2 = \alpha \end{eqnarray}

Integrating Factor:

\begin{eqnarray} e^{\int \gamma dt} = e^{\gamma t} \end{eqnarray}

Multiplying both sides by our integrating factor:

\begin{eqnarray} (\frac{x_2}{dt} + \gamma x_2)e^{\gamma t} = \alpha e^{\gamma t}\\ \int (\frac{x_2}{dt} + \gamma x_2)e^{\gamma t} = \int \alpha e^{\gamma t} \\ x_2 = \frac{\alpha}{\gamma} + ce^{-\gamma t} \end{eqnarray}

R plots

Visit our GitHub repositoryfor our code.

data
Figure 2.a: Log Linear transformation of RFU/OD600 vs Time, Regression Line (red) fitted to data
data
Figure 2.b: RFU/OD600 vs Time with Transformed Regression Line (red)

R Analysis

R Analysis:
Call:
lm(formula = log(x) ~ c(time, time, time))

Residuals:
     Min       1Q   Median       3Q      Max
-0.58853 -0.15536  0.01303  0.19867  0.44055

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)
(Intercept)          2.87199    0.21773   13.19 1.47e-15 ***
c(time, time, time)  0.15267    0.01142   13.37 9.74e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.2935 on 37 degrees of freedom
Multiple R-squared:  0.8285,	Adjusted R-squared:  0.8238
F-statistic: 178.7 on 1 and 37 DF,  p-value: 9.741e-16

Intercept represents the equilibrium value of LacILov, our intercept:

data