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Team:Imperial College London/Drylab/Protein Production
From 2009.igem.org
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[[Image:II09_SIm_main_prot.jpg]]<br><br> | [[Image:II09_SIm_main_prot.jpg]]<br><br> | ||
<html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/M1/Protein_production/Simulations"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the simulations! <br><br><br> | <html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/M1/Protein_production/Simulations"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the simulations! <br><br><br> | ||
| - | *The effects of IPTG toxicity were investigated and we found that for these concentration ranges, IPTG is not toxic to cells. | + | *The effects of IPTG toxicity were investigated and we found that for these concentration ranges, IPTG is not toxic to cells. Click on the link to see the analyzed results:[[Media:II09_IPTG_growth.ogg | IPTG growth curves]] |
| - | *The constants in this model are arbitrary. We justify our usage of these values with a more detailed dynamical analysis of the system, which shows that it can only have fixed points[ | + | *The constants in this model are arbitrary. We justify our usage of these values with a more detailed dynamical analysis of the system, which shows that it can only have fixed points[1]. [[Media:II09_Prot_stability analysis.ogg | System stability analysis (read about the equations before opening this file, it's intimidating!)]] |
===Conclusions=== | ===Conclusions=== | ||
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*Here we assumed that the range of IPTG we have introduced is non-toxic for our cells. Growth curves will tell us whether IPTG does limit cell growth at the ranges we are interested in. | *Here we assumed that the range of IPTG we have introduced is non-toxic for our cells. Growth curves will tell us whether IPTG does limit cell growth at the ranges we are interested in. | ||
| + | [1]Steven H. Strogatz (1994). Nonlinear dynamics and chaos: with applications to physics, biology chemistry and engineering. Addison Wesley. ISBN 0-201-54344-3 | ||
| + | [2]3.Kuhlman T, Zhang Z, Saier MH Jr, & Hwa T (2007) Combinatorial transcriptional control of the lactose operon of Escherichia coli. - PNAS 104 (14) 6043-6048 | ||
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{{Imperial/Box1|Module 1: Protein production|Two models are required to explain the functionality of M1: | {{Imperial/Box1|Module 1: Protein production|Two models are required to explain the functionality of M1: | ||
Revision as of 18:56, 7 October 2009
- Overview
- The model
- Simulations
Protein Production
Based on the Genetic circuit, a LacI-IPTG inducible promoter is responsible for kickstarting the production of the drug.
- In the absence of IPTG, LacI represses the production of the drug (Cellulase or PAH)
- When IPTG is introduced, the LacI repressing pathway is “de-repressed”, and some output protein is produced.
Contents |
Our goals
The modelling aims to provide an overview and better understanding of the M1 system’s function by:
- Characterizing the system.
- Modeling to account for several factors that may reduce/hinder the production of the protein drug such as:
- Lac promoter leakiness
- IPTG toxicity
- Stability of output protein
This module is an integral part of the design, as large-scale commercialization of the drug of interest depends on finding the optimal conditions for protein production.
about the model assumptions and predictions!
The System
There are 6 differential equations that describe the behaviour of this system.
about the equations and what they mean!
Summary of simulation results
- When we introduce IPTG into the system, it temporarily removes LacI from the system. Hence, during this period of time, we produce the drug of interest.
- When the effects of IPTG wear off, the system returns to equilibrium.
- The more IPTG we add in, the higher the amount of output protein.
about the simulations!
- The effects of IPTG toxicity were investigated and we found that for these concentration ranges, IPTG is not toxic to cells. Click on the link to see the analyzed results: IPTG growth curves
- The constants in this model are arbitrary. We justify our usage of these values with a more detailed dynamical analysis of the system, which shows that it can only have fixed points[1]. System stability analysis (read about the equations before opening this file, it's intimidating!)
Conclusions
NOTE: These will be better understood once the reader has gone through the details ("Learn More").
- The greater the strength of the Lac promoter, the greater the repressive action of LacI prior IPTG induction.
- The greater the Lac promoter leakiness (kleak) the greater the basal amount of expression of protein of interest, prior IPTG induction.
- The greater the amount of IPTG introduced, the greater the size of the bump in production of protein of interest.
- Here we assumed that the range of IPTG we have introduced is non-toxic for our cells. Growth curves will tell us whether IPTG does limit cell growth at the ranges we are interested in.
[1]Steven H. Strogatz (1994). Nonlinear dynamics and chaos: with applications to physics, biology chemistry and engineering. Addison Wesley. ISBN 0-201-54344-3 [2]3.Kuhlman T, Zhang Z, Saier MH Jr, & Hwa T (2007) Combinatorial transcriptional control of the lactose operon of Escherichia coli. - PNAS 104 (14) 6043-6048
