Difference between revisions of "Team:Bielefeld-CeBiTec/Model"

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The toxicity of copper ions on the cell is well characterized (Ning <i>et al.</i>, 2015) but for important parts of this project like the <a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">crossflow reactor</a> we needed to know the exact point of time when our cells will die to achieve highest possible yields of copper.  
 
The toxicity of copper ions on the cell is well characterized (Ning <i>et al.</i>, 2015) but for important parts of this project like the <a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">crossflow reactor</a> we needed to know the exact point of time when our cells will die to achieve highest possible yields of copper.  
 
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The residence time should not exceed the rate of dying and cell lysis in <a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">the system</a>. If cell lysis kicks in copper gets released back again into the substrate media and the yield minimizes. The modeling started with the copper uptake in our cells containing the BioBrick BBa_K2638204, which expresses <i>oprC</i> un<script>der pAra​BAD (<a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">BBa_I0500)</a>) control and induction at 1.0 % arabinose in. The toxicity is calculated for a single cell.</div><div class="article">
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The residence time should not exceed the rate of dying and cell lysis in <a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">the system</a>. If cell lysis kicks in copper gets released back again into the substrate media and the yield minimizes. The modeling started with the<script> copper uptake in our cells containing the BioBrick BBa_K2638204, which expresses <i>oprC</i> un<script>der pAra​BAD (<a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">BBa_I0500)</a>) control and induction at 1.0 % arabinose in. The toxicity is calculated for a single cell.</div><div class="article">
 
The first step was to calculate the rate of expression of <i>oprC</i>. Therefore the characterization of  <a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">BBa_I0500)</a> of <a href="https://2011.igem.org/Team:Groningen/project_characterisation_promoters_pbad">Groningen</a> was used to calculate the expression speed. At 1.0 % arabinose induction a raise of fluorescence of approx. <i>ΔF</i> = 82,000 within of t = 36,000 s was measurable.  
 
The first step was to calculate the rate of expression of <i>oprC</i>. Therefore the characterization of  <a href="https://2018.igem.org/Team:Bielefeld-CeBiTec/Hardware">BBa_I0500)</a> of <a href="https://2011.igem.org/Team:Groningen/project_characterisation_promoters_pbad">Groningen</a> was used to calculate the expression speed. At 1.0 % arabinose induction a raise of fluorescence of approx. <i>ΔF</i> = 82,000 within of t = 36,000 s was measurable.  
 
The conversion from fluorescence units to concentration in mol/L was calculated as <i>k</i> = 2.5 * 10<sup>-6</sup> mol*L<sup>-1</sup> (Furtado and Henry, 2002) and the volume of the used capillaries was <i>V</i> = 3.14 * 10<sup>-9</sup> L The rate of protein expression with 1.0 % arabinose is:
 
The conversion from fluorescence units to concentration in mol/L was calculated as <i>k</i> = 2.5 * 10<sup>-6</sup> mol*L<sup>-1</sup> (Furtado and Henry, 2002) and the volume of the used capillaries was <i>V</i> = 3.14 * 10<sup>-9</sup> L The rate of protein expression with 1.0 % arabinose is:
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Revision as of 02:16, 18 October 2018

https://static.igem.org/mediawiki/2018/e/e9/T--Bielefeld-CeBiTec--JZ--Modelingwithcopper.png
Modeling
Any modeling project should be tempered by the morality of laziness.“ (Barnes et. al., 2010)

Short Summary

This phrase illustrates that lab results can be predicted before actually working in the lab, saving precious time.
Our project revolves around new discovered or theoretical biological systems like for example RNAi in prokaryotes or newly discovered copper transporters. Our project required four different modeling approaches:
  • toxicity modeling
  • reactor modeling
  • siRNA modeling
  • ferritin structure modeling

Toxicity modeling

The toxicity of copper ions on the cell is well characterized (Ning et al., 2015) but for important parts of this project like the crossflow reactor we needed to know the exact point of time when our cells will die to achieve highest possible yields of copper.
The residence time should not exceed the rate of dying and cell lysis in the system. If cell lysis kicks in copper gets released back again into the substrate media and the yield minimizes. The modeling started with the