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<b>#1: </b>We performed an <a href="https://2017.igem.org/Team:INSA-UPS_France/HP/Gold_Integrated">Integrated Human Practice</a> reflexion on three levels to surpass the scientific achievements and use synthetic microbial consortium to real society profit. Upstream of the project we had many contacts with NGOs (Unicef and Doctors Without Borders) and industrials working with the impacted populations. Next, we gathered invaluable knowledge about our chosen microorganisms thanks to insights from scientists all over the world. Downstream of the project, we thought about an actual solution against cholera. We carefully analyze the lifecycle of our solution through the building of 8 ethical matrices and engaged in a concrete business plan which required us to meet industrials and startup leaders. | <b>#1: </b>We performed an <a href="https://2017.igem.org/Team:INSA-UPS_France/HP/Gold_Integrated">Integrated Human Practice</a> reflexion on three levels to surpass the scientific achievements and use synthetic microbial consortium to real society profit. Upstream of the project we had many contacts with NGOs (Unicef and Doctors Without Borders) and industrials working with the impacted populations. Next, we gathered invaluable knowledge about our chosen microorganisms thanks to insights from scientists all over the world. Downstream of the project, we thought about an actual solution against cholera. We carefully analyze the lifecycle of our solution through the building of 8 ethical matrices and engaged in a concrete business plan which required us to meet industrials and startup leaders. | ||
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− | <b>#2: </b>The proposed synthetic microbial consortium is complex, with many biological entities interacting in a dynamic way. <a href="https://2017.igem.org/Team:INSA-UPS_France/Model">Modeling</a> was thus vital to simulate its behavior, understand its properties, and ultimately support its design. We represented the different entities and processes using a standard graphical notation | + | <b>#2: </b>The proposed synthetic microbial consortium is complex, with many biological entities interacting in a dynamic way. <a href="https://2017.igem.org/Team:INSA-UPS_France/Model">Modeling</a> was thus vital to simulate its behavior, understand its properties, and ultimately support its design. We represented the different entities and processes using a standard graphical notation, which was used as a basis to develop a predictive, mechanistic model. Following an iterative approach, this model was feed with parameters gathered from the literature and exploited to verify <i>ab initio</i> the feasibility of the project. In turn, it helped us to design experiments that we performed to refine some key parameters. We implemented different mathematical tools (including an original extension of the metabolic control analysis framework) to evaluate the robustness of our consortium and identify parameters that control its behavior, hence driving rational optimization of both the system and the device. A user-friendly interface was finally developed for non-specialists to play with our system. |
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</section> | </section> | ||
Revision as of 10:29, 30 October 2017
#1: We successfully registered for the competition, had an awesome summer and proudly attended the Giant Jamboree!
#2: All the required competition deliverables were met in time for the due dates:
#3: We created an Attribution page entirely designed to thank all the people that helped us throughout our adventure.
#4: We successfully characterised 5 existing BioBricks:
#1: Out of 19 Parts, we obtained 6 new BioBricks compatible with the Registry. We successfully validated 3 of them:
#2: We are proud of all of the collaborations we made with teams around the world:
#3: We carried out an ethical reflexion throughout all of our project, doing bibliographical research, meeting professionals and members of NGOs. Our major discussions and decisions are listed in our Human Practices Logbook.
#1: We performed an Integrated Human Practice reflexion on three levels to surpass the scientific achievements and use synthetic microbial consortium to real society profit. Upstream of the project we had many contacts with NGOs (Unicef and Doctors Without Borders) and industrials working with the impacted populations. Next, we gathered invaluable knowledge about our chosen microorganisms thanks to insights from scientists all over the world. Downstream of the project, we thought about an actual solution against cholera. We carefully analyze the lifecycle of our solution through the building of 8 ethical matrices and engaged in a concrete business plan which required us to meet industrials and startup leaders.
#2: The proposed synthetic microbial consortium is complex, with many biological entities interacting in a dynamic way. Modeling was thus vital to simulate its behavior, understand its properties, and ultimately support its design. We represented the different entities and processes using a standard graphical notation, which was used as a basis to develop a predictive, mechanistic model. Following an iterative approach, this model was feed with parameters gathered from the literature and exploited to verify ab initio the feasibility of the project. In turn, it helped us to design experiments that we performed to refine some key parameters. We implemented different mathematical tools (including an original extension of the metabolic control analysis framework) to evaluate the robustness of our consortium and identify parameters that control its behavior, hence driving rational optimization of both the system and the device. A user-friendly interface was finally developed for non-specialists to play with our system.
Medal Criteria
Bronze medal
Silver medal
Gold medal