Team:ULB-Brussels/modeling/conclusion

From 2011.igem.org

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<h1>Introduction</h1>
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<h1>Conclusion</h1>
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The pINDEL plasmid can be divided into $2$ functional units:
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  <li>the IN function which is composed of the <em>gam</em>, <em>exo</em> and <em>bet</em> genes coding for the $\lambda$ Red recombinase system \cite{dat,yu}; and</li>
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  <li> the DEL function which is based on the <em>flp</em> gene encoding the FLP site-specific recombinase \cite{dat,yu}.</li>
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The expression of $\lambda$ Red recombinase genes is under the control of the pBAD promoter.  This promoter is repressed by the AraC transcriptional regulator in absence of arabinose and activated by the same protein in the presence of arabinose. The<em>araC</em> gene is also encoded in the pINDEL plasmid.  The expression of the FLP recombinase is under the control of the $\lambda$ pR promoter.  This promoter is repressed at  $30^\circ$C by the thermosensitive CI857 repressor which is also encoded in the pINDEL plasmid.  We will consider that expression of the <em>flp</em> gene is repressed at 90\% at $30^\circ$C, while at $42^\circ$C the <em>flp</em> gene is fully expressed. However it is reported that at this temperature, the activity of FLP is drastically reduced as compared to lower temperature \cite{buch}.
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The models we built in sections (\ref{Ph1}), (\ref{Ph2}) and (\ref{Ph3}) depended of many different parameters, that we where able to estimate with more or less precision by biological considerations or simple experiments. Moreover, we observed the small sensitivity of the solution of the model for those parameters, around their estimation, which is quite reassuring.
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In addition, pINDEL contains the <em>repA101ts</em> gene encoding the RepA101Ts protein and the origin of replication (<em>ori</em>) \cite{dat,yu}. The RepA101Ts protein initiates replication at $30^\circ$C by specifically binding to the ori. The RepA101Ts protein becomes rapidly inactive when the culture is shifted at 42¡C and is therefore not able to mediate replication initiation at this temperature. The pINDEL plasmid also contains the Amp resistance gene for plasmid selection.
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In order to validate our model quantitatively, it was necessary to find quantities that were not to harsh to measure or predict. That is what we fulfilled in section (\ref{validation}); a comparison of the measures and the predictions of the model then confirmed its validity and the judicious choice of the parameters.
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The Red recombinase promotes the insertion of a gene of interest (gene X) coupled to an antibiotic resistance gene flanked of FRT' sites (FRT'-Cm-FRT', our biobrick BBa\_K551000 for the selection of the insertion event in the bacterial chromosome.  FLP on the other hand is responsible for the site-specific excision of the antibiotic resistance gene, after insertion of the gene of interest, leaving a FRT' site. Thus, the IN and DEL functions are antagonist. Even under <em>flp</em> repression condition ($30^\circ$C), we cannot exclude that a small amount of FLP is produced due to the $\lambda$ pR promoter leakiness. This could drastically affect the frequency of insertion because excision of the Cm resistance gene could occur prior insertion of the X gene in the bacterial chromosome. To overcome this problem, we designed a particular configuration in which the IN and DEL functional units are encoded on the opposite strands and are facing each other. Our hypothesis is that the expression of the IN function (induced by arabinose) would inhibit the DEL function expression by a mechanism denoted as transcriptional interference. First, we will study by a computer simulation whether a potential transcriptional interference occurs between these 2 opposite-oriented functional units (see section (\ref{IntTranscr})).
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Furthermore, our models predicts that after a too long time during the insertion step almost no bacteria will have the chloramphenicol resistance cassette yet, what was a big problem for the Wetlab team. However we saw that they should look around $t=t_\star\approx10000$, because at that time the proportion $p_2$ of the bacteria that have not lost the resistance cassette reaches its maximum $0.75$: around that time, so that a good deal of the bacteria then have received the X gene without having lost the resistance cassette. This could give ideas and clues to the Wetlab team for further interesting and fruitful experiments.
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In our different models, we will consider a few parameters and we will estimate their values based on biological considerations. We will then analyze the coherence of our predictions together with the results of the experiments, and adapt the model if necessary.
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Revision as of 01:48, 22 September 2011

Modelling : Conclusion

Conclusion

The models we built in sections (\ref{Ph1}), (\ref{Ph2}) and (\ref{Ph3}) depended of many different parameters, that we where able to estimate with more or less precision by biological considerations or simple experiments. Moreover, we observed the small sensitivity of the solution of the model for those parameters, around their estimation, which is quite reassuring.

In order to validate our model quantitatively, it was necessary to find quantities that were not to harsh to measure or predict. That is what we fulfilled in section (\ref{validation}); a comparison of the measures and the predictions of the model then confirmed its validity and the judicious choice of the parameters.

Furthermore, our models predicts that after a too long time during the insertion step almost no bacteria will have the chloramphenicol resistance cassette yet, what was a big problem for the Wetlab team. However we saw that they should look around $t=t_\star\approx10000$, because at that time the proportion $p_2$ of the bacteria that have not lost the resistance cassette reaches its maximum $0.75$: around that time, so that a good deal of the bacteria then have received the X gene without having lost the resistance cassette. This could give ideas and clues to the Wetlab team for further interesting and fruitful experiments.

\bibliographystyle{unsrt} \bibliography{biblio}
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