Team:Grenoble/Projet/Modelling/Parameters
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Modelling - Parameters
Parameters
PDF file (detailed explanation on parameters and how we deduced them) for Toggle Switchkplac | pLac production rate | 600 proteins/min | [1] |
kpTet | pTet production rate | 600 proteins/min | [1] |
kpMer | pMer production rate | 600 proteins/min | [1] |
δLacI | LacI degradation rate | 4.6E-2 min−1 | PDF file |
δTetR | TetR degradation rate | 4.6E-2 min−1 | PDF file |
δMerR | MerR degradation rate | 4.6E-2 min−1 | PDF file |
KpLac - LacI | plac - LacI dissociation constant | 5.45E-7 M | Kyoto 10 |
KpMer - MerR | pMer - MerR dissociation constant | 1.00E-8 M | [2] |
KpTet - TerR | pTet - TetR dissociation constant | 5.00E-8 M | [3] |
KLacI - IPTG | LacI - IPTG dissociation constant | 2.96E-5 M | [4] |
KTetR - aTc | aTc - TetR dissociation constant | 1.5E-8 M | [5] |
KHg2+ - MerR | Hg2+ - MerR dissociation constant | 1E-7 M | [2] |
nplac | plac cooperativity number | 2,3 | [4] |
npMer | pMer cooperativity number | 2,5 | [6] |
npTet | pTet cooperativity number | 3 | [7] |
References
[1] Nature. 2000 Jan 20;403(6767):335-8. A synthetic oscillatory network of transcriptional regulators. Elowitz MB, Leibler S.
[2] Mol Gen Genet. 1999 Aug;262(1):154-62. Purification and characterization of MerR, the regulator of the broad-spectrum mercury resistance genes in Streptomyces lividans 1326. Rother D, Mattes R, Altenbuchner J.
[3] David Braun et al. Parameter estimation for two synthetic gene networks: A case study. IEEE 2005.
[4] Nature 403, 339-342 (20 January 2000) Construction of a genetic toggle switch in Escherichia coli. Timothy S. Gardner Charles R. Cantor & James J. Collins
[5] O. Scholz, P. Schubert, M. Kintrup and W. Hillen, Tet repressor induction without Mg2+, Biochemistry 39 (2000), pp. 10914–10920
[6] Ultrasensitivity and heavy-metal selectivity of the allosterically modulated MerR transcription complex. D M Ralston and T V O'Halloran
[7] Systems analysis of a quorum sensing network: design constraints imposed by the functional requirements, network topology and kinetic constants. Goryachev AB, Toh DJ, Lee T.
Parameters sensitivity
In order to know if an error on the parameters would induce a completely different behaviour of our system, we studied the sensitivity of our system to a change on the parameters.
This study was performed by increasing or decreasing our parameters values by a range of percentages (from -66% to +300% for each parameter). Then we studied the change on the output of our system, the ratio of IPTG over aTc that induces the coloration.
On the following figure one can see the influence on the output of our system (the ratio of IPTG over aTc on the interface) for several different aTc concentrations. For these concentrations the switch is still efficient, even though the resulting variation on the output will induce an error on our measure.
Figure 2: Parameters sensitivity for 6.3e-06 M of aTc
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Variations from 1 to 13 :
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For low values of aTc concentration the error is too minor to perturb the mechanism of our system. If the error is superior to -50% or +100% for parameters such as KpLac - LacI or KpTet - TetR however, it will be impossible to predict the output. In such a case a characterization of the responsible parameter would be necessary.
For higher values of aTc concentration however, the value of IPTG necessary for a switch is very high and errors on the parameters can cause the system not to switch for the chosen IPTG gradient. In this case, the IPTG maximal necessary value for quantification would be too high for a living cell. The only problem being a decrease of the maximum value we can quantify.
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