Team:ULB-Brussels/Modelling/Conclusion

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<p>In this page, the modelling part will be concluded by comparison between theorical and experimental results (coming soon).</p>
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The population dynamics modelling showed first that the impact of the antibiotics must be included in a realistic model, because without antibiotics, E.Coli bacteria would finish without the plasmids necessary to activate our Mighty Coli system $\small\&$ secondly that the bacterial population grows at a particulary high rate in the beginning, but rapidly it converges until a constant quantity. Consequently, it is important to add bacterial food enough into the LB medium and to select the more productive bacteria, f.e. using a bioreator containing initially non-productive bacteria and where Mighty Coli could work.</p>
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The TA system modelling consisted to evaluate after estimating the degree of cooperativity in the system where antitoxin (gene situated in a plasmid constanlty maintained generation by generation, with a promoter not influenced by the medium) is unstable in comparison with the toxin (gene situated in another plasmid with a promoter activated or repressed by the medium), but is necessary for E.coli to survive. A Michaelis-Menten statistics was chosen and the equations were solved at stationary state to obtain analytical expression between the parameters (and depending of the PI to produce, but also of the kind of bioreactor).</p>
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The p2A modelling: estimating the cleavage rate of the 2A peptid chosen, the frequency of the mutations and the ratio [Tox]/[Anti-Tox], we obtained the boost of the production in a bioreactor using Mighty Coli in comparison with using the classical Stabi system, for in vivo protein production.</p>
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A future continuation of our project could be to study accurately the 2A peptides to refine our current model and to build new Biobricks using different 2A peptids, ready to be applied in bioreactors.</p>
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Revision as of 23:16, 10 October 2014

$~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \newcommand{\MyColi}{{\small Mighty\hspace{0.12cm}Coli}} \newcommand{\Stabi}{\small Stabi}$ $\newcommand{\EColi}{\small E.coli} \newcommand{\SCere}{\small S.cerevisae}\\[0cm] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \newcommand{\PI}{\small PI}$ $\newcommand{\Igo}{\Large\mathcal{I}} \newcommand{\Tgo}{\Large\mathcal{T}} \newcommand{\Ogo}{\Large\mathcal{O}} ~$ Example of a hierarchical menu in CSS

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Coming Soon ^




- Université Libre de Bruxelles -


Conclusion


The population dynamics modelling showed first that the impact of the antibiotics must be included in a realistic model, because without antibiotics, E.Coli bacteria would finish without the plasmids necessary to activate our Mighty Coli system $\small\&$ secondly that the bacterial population grows at a particulary high rate in the beginning, but rapidly it converges until a constant quantity. Consequently, it is important to add bacterial food enough into the LB medium and to select the more productive bacteria, f.e. using a bioreator containing initially non-productive bacteria and where Mighty Coli could work.

The TA system modelling consisted to evaluate after estimating the degree of cooperativity in the system where antitoxin (gene situated in a plasmid constanlty maintained generation by generation, with a promoter not influenced by the medium) is unstable in comparison with the toxin (gene situated in another plasmid with a promoter activated or repressed by the medium), but is necessary for E.coli to survive. A Michaelis-Menten statistics was chosen and the equations were solved at stationary state to obtain analytical expression between the parameters (and depending of the PI to produce, but also of the kind of bioreactor).

The p2A modelling: estimating the cleavage rate of the 2A peptid chosen, the frequency of the mutations and the ratio [Tox]/[Anti-Tox], we obtained the boost of the production in a bioreactor using Mighty Coli in comparison with using the classical Stabi system, for in vivo protein production.

A future continuation of our project could be to study accurately the 2A peptides to refine our current model and to build new Biobricks using different 2A peptids, ready to be applied in bioreactors.

< 2A Peptide