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Team:Imperial College London/Drylab/Protein Production
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<html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Protein_production/Analysis"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the model assumptions and predictions! | <html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Protein_production/Analysis"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the model assumptions and predictions! | ||
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===The System=== | ===The System=== | ||
There are 6 differential equations that describe the behaviour of this system. <br> | There are 6 differential equations that describe the behaviour of this system. <br> | ||
<html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/M1/Protein_production/Analysis/Detailed"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the equations and what they mean! | <html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/M1/Protein_production/Analysis/Detailed"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the equations and what they mean! | ||
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===Summary of simulation results=== | ===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 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. | *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. | *The more IPTG we add in, the higher the amount of output protein. | ||
| - | [[Image:II09_SIm_main_prot.jpg]]<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! | <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! | ||
*The effects of IPTG toxicity were investigated and we found that for these concentration ranges, IPTG is not toxic to cells. See the pdf of results for further details:[[Media:II09_IPTG_growth.ogg]] | *The effects of IPTG toxicity were investigated and we found that for these concentration ranges, IPTG is not toxic to cells. See the pdf of results for further details:[[Media:II09_IPTG_growth.ogg]] | ||
Revision as of 17:51, 6 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.
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. See the pdf of results for further details:Media:II09_IPTG_growth.ogg
- 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[ref Strogatz]. Media:II09_Prot_stability analysis.ogg
