Team:Dundee/Modeling/dsf

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               <h1>Modelling DSF</h1>
               <h1>Modelling DSF</h1>
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             <p class="lead">What we did</p>
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             <p class="lead">Clp Over-Expression Hypothesis</p>
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             <li class="list-group-item"><a href="#0" class="">Initial planning and cloning strategy</a>
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             <li class="list-group-item"><a href="#0" class="">Objectives</a>
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             <li class="list-group-item"><a href="#1" class="">Building the PQS sensor</a>
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             <li class="list-group-item"><a href="#1" class="">DSF-Induced Phosphorylation of RpfG Mediates GFP Expression</a>
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             <li class="list-group-item"><a href="#2" class="">Characterisation</a>  
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             <li class="list-group-item"><a href="#2" class="">DSF-Independent Activation of the <i>manA</i> Promoter</a>
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            <li class="list-group-item"><a href="#3" class="">Conclusion</a>  
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<h2 id="0">Objectives</h2>
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To investigate why GFP expression was high in the absence of signal in our engineered DSF system.
To investigate why GFP expression was high in the absence of signal in our engineered DSF system.
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<h2>DSF-Induced Phosphorylation of RPFG Mediates GFP Expression</h2>
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<h2 id="1">DSF-Induced Phosphorylation of RpfG Mediates GFP Expression</h2>
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We constructed models similar to those used in the PQS system to investigate the signal-response behaviour of the DSF system. Our results verified what we had expected to happen. Phosphorylation of RpfG is induced by DSF binding to a cell receptor. RpfG[P] then degrades c-di-GMP which relieves the inhibition of Clp. Clp then activated the expression of GFP through the engineered manA promoter. In the absence of a DSF signal, RpfG remained in its unphosphorylated form and GFP expression was repressed.
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We constructed models<sup>1</sup> similar to those used in the PQS system to help design and calibrate  the signal-response behaviour of the DSF system. Thus we determined a theoretical, quantitative link between  DSF signal level and GFP expression in the engineered chassis <sup>2,3</sup>. The model took account of the following processes: phosphorylation of RpfG is induced by DSF binding to a cell receptorRpfG[P] then degrades c-di-GMP which relieves the inhibition of ClpClp then activated the expression of GFP through the engineered <i>manA</i> promoter. In the absence of a DSF signal, RpfG was predicted to remain in its unphosphorylated form and GFP expression repressed.
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<h2>DSF-Independent Activation of the <i>manA</i> Promoter</h2>
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<h2 id="2">DSF-Independent Activation of the <i>manA</i> Promoter</h2>
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Our experimental results revealed that in the absence of DSF, the <i>manA</i> promoter was active in our engineered system and hence GFP expression upregulated.  
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Interestingly, our experimental results subsequently revealed that in the absence of DSF, the <i>manA</i> promoter was active in our engineered system and hence GFP expression upregulated.  
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Like the BDSF pathway, the DSF system contains a phosphorelay system.  Our first hypothesis, therefore was that the expression of GFP was dependent on signal-independent phosphorylation of RpfG.
Like the BDSF pathway, the DSF system contains a phosphorelay system.  Our first hypothesis, therefore was that the expression of GFP was dependent on signal-independent phosphorylation of RpfG.
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However, as shown in Fig 1 the model predicted that increasing the level of phosphorylated RpfG would have no significant effect on the production of GFP in our engineered cells.
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Using the parameter values in Table 1, the model (Fig 1) predicted that increasing the level of phosphorylated RpfG would have no significant effect on the production of GFP in our engineered cells.
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Our second hypothesis was that enhanced inhibition of Clp by elevated levels of c-di-GMP could repress GFP expression. However, on setting c-di-GMP levels in the model to a high level, GFP was still expressed (albeit at a lower low level) , Fig 2. This can be explained by Clp having a higher binding affinity for the promoter than c-di-GMP.  Since both these reactions are reversible, there will still  be sufficient Clp free in the cytoplasm to activate GFP expression.
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Our second hypothesis was that enhanced inhibition of Clp by elevated levels of c-di-GMP could repress GFP expression. However, on setting c-di-GMP levels in the model to a high level, GFP was still expressed (albeit at a lower low level), Fig 2. This can be explained by Clp having a higher binding affinity for the promoter than c-di-GMP.  Since both these reactions are reversible, there will still be sufficient Clp free in the cytoplasm to activate GFP expression.
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The model predictions so far still did not explain the high expression levels reported by the wet team. Thus bringing us to our third hypothesis - our cells were over-expressing Clp.  
The model predictions so far still did not explain the high expression levels reported by the wet team. Thus bringing us to our third hypothesis - our cells were over-expressing Clp.  
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An analysis of our model for the DSF system revealed that the steady state levels of free Clp and c-di-GMP are only dependent on their (constitutive) rate of production and degradation (and not dependent on the Clp - c-di-GMP binding affinities nor the promoter binding affinity).  As shown in Fig 3 we see that the model predict that an over-expression of Clp results in a corresponding high level of GFP production.
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An analysis of our model for the DSF system revealed that the steady state levels of free Clp and c-di-GMP are only dependent on their (constitutive) rate of production and degradation (and not dependent on the Clp - c-di-GMP binding affinities nor the promoter binding affinity).  As shown in Fig 3 we see that the model predict that an over-expression of Clp results in a corresponding high level of GFP production.
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<h2 id="3">Conclusion</h2>
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Our models were used to test different plausible hypotheses for the DFS-signal independent expression of GFP in our engineered cells. We conclude that over-expression of Clp could be responsible for the experimental observations.
Our models were used to test different plausible hypotheses for the DFS-signal independent expression of GFP in our engineered cells. We conclude that over-expression of Clp could be responsible for the experimental observations.
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             <h3>References</h3>     
             <h3>References</h3>     
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<sup>1</sup><a href="https://static.igem.org/mediawiki/2014/e/ec/Appendix_3_-_DSF.pdf">https://static.igem.org/mediawiki/2014/e/ec/Appendix_3_-_DSF.pdf</a><br>
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<sup>2</sup><a href="https://static.igem.org/mediawiki/2014/e/ef/Final_setup_dsf.m">https://static.igem.org/mediawiki/2014/e/ef/Final_setup_dsf.m</a><br>
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<sup>3</sup><a href="https://static.igem.org/mediawiki/2014/e/ef/Final_solver_dsf.m">https://static.igem.org/mediawiki/2014/e/ef/Final_solver_dsf.m</a><br>
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<sup>4</sup>Chin, K.-H. et al.(2010) Journal of Molecular Biology, 396, 646 - 662<br>
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<sup>5</sup>Leake, M. et al. (2008)  Proceedings of the National Academy of Sciences USA 105, 15376-15381.<br>
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<sup>6</sup>Andrea J. Twigg & David Sherratt (1980)  Nature 283, 216 - 218.
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Latest revision as of 22:24, 17 October 2014

Dundee 2014

Modelling DSF

Clp Over-Expression Hypothesis

Objectives

To investigate why GFP expression was high in the absence of signal in our engineered DSF system.


DSF-Induced Phosphorylation of RpfG Mediates GFP Expression

We constructed models1 similar to those used in the PQS system to help design and calibrate the signal-response behaviour of the DSF system. Thus we determined a theoretical, quantitative link between DSF signal level and GFP expression in the engineered chassis 2,3. The model took account of the following processes: phosphorylation of RpfG is induced by DSF binding to a cell receptor; RpfG[P] then degrades c-di-GMP which relieves the inhibition of Clp; Clp then activated the expression of GFP through the engineered manA promoter. In the absence of a DSF signal, RpfG was predicted to remain in its unphosphorylated form and GFP expression repressed.


DSF-Independent Activation of the manA Promoter

Interestingly, our experimental results subsequently revealed that in the absence of DSF, the manA promoter was active in our engineered system and hence GFP expression upregulated.

Like the BDSF pathway, the DSF system contains a phosphorelay system. Our first hypothesis, therefore was that the expression of GFP was dependent on signal-independent phosphorylation of RpfG.



Using the parameter values in Table 1, the model (Fig 1) predicted that increasing the level of phosphorylated RpfG would have no significant effect on the production of GFP in our engineered cells.



Our second hypothesis was that enhanced inhibition of Clp by elevated levels of c-di-GMP could repress GFP expression. However, on setting c-di-GMP levels in the model to a high level, GFP was still expressed (albeit at a lower low level), Fig 2. This can be explained by Clp having a higher binding affinity for the promoter than c-di-GMP. Since both these reactions are reversible, there will still be sufficient Clp free in the cytoplasm to activate GFP expression.



The model predictions so far still did not explain the high expression levels reported by the wet team. Thus bringing us to our third hypothesis - our cells were over-expressing Clp.



An analysis of our model for the DSF system revealed that the steady state levels of free Clp and c-di-GMP are only dependent on their (constitutive) rate of production and degradation (and not dependent on the Clp - c-di-GMP binding affinities nor the promoter binding affinity). As shown in Fig 3 we see that the model predict that an over-expression of Clp results in a corresponding high level of GFP production.

Conclusion

Our models were used to test different plausible hypotheses for the DFS-signal independent expression of GFP in our engineered cells. We conclude that over-expression of Clp could be responsible for the experimental observations.

References

1https://static.igem.org/mediawiki/2014/e/ec/Appendix_3_-_DSF.pdf
2https://static.igem.org/mediawiki/2014/e/ef/Final_setup_dsf.m
3https://static.igem.org/mediawiki/2014/e/ef/Final_solver_dsf.m
4Chin, K.-H. et al.(2010) Journal of Molecular Biology, 396, 646 - 662
5Leake, M. et al. (2008) Proceedings of the National Academy of Sciences USA 105, 15376-15381.
6Andrea J. Twigg & David Sherratt (1980) Nature 283, 216 - 218.