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JUDGING FORM

JUDGING

CSU_CHINA had done so many meaningful and fantastic things this year. Here is a nice reminder of all the relevant content that proves we fulfilled the necessary requirements although the significance to us is far more than achieving each medal and award criterion.

BRONZE PRIZE

Registration and Giant Jamboree Attendance

https://igem.org/2019_Judging_Form?id=2908

Competition Deliverables

Apart from this wiki you are looking, posters and presentations will come to you at Jamboree. Here is our judging form.

https://igem.org/2019_Judging_Form?id=2908

Attributions

See what work each member did and how other people helped us.

https://2019.igem.org/Team:CSU_CHINA/Attributions

Project Inspiration and Description

See what inspired our project and how we achieved our goals.

https://2019.igem.org/Team:CSU_CHINA/Description

Characterization in Parts

We have added new, high quality, experimental characterization data to an existing BioBrick Part : BBa_K2624000 from the Registry. We tested the activation of this part in MCF-7 cells which is one kind of triple-negative breast cancer cell as well as 298T cells as control. Through our experiments, we found that hTERT is exactly specific in MCF-7 compared with 298T.What we did both helped us find a specific promoter to fight with triple-negative breast cancer cells but not damage normal cells also widened the scope of hTERT's action.

SILVER PRIZE

Validated Part

We have designed 10 new basic parts and 6 new composite parts related to our project works and documented the characterization on Part's Registry.

https://2019.igem.org/Team:CSU_CHINA/Parts

Collaboration

See friendly collaborations we established with teams all over the world.

https://2019.igem.org/Team:CSU_CHINA/Collaborations

Human Practices

Check our HP overview to see how we engaged with our communities and our work is socially responsible for a better world.

https://2019.igem.org/Team:CSU_CHINA/Human_Practices

GOLD PRIZE

Integrated Human Practices

Our human practice is like a propellant to our project, as we were improving our project, applied design and hardware, based on others’ feedback all the time.

https://2019.igem.org/Team:CSU_CHINA/Human_Practices

Improve a Previous Part

We improved the existing part BBa_K2580666 by changing specific promoter and adding a miR101 binding site. In this way we got the new part BBa_K2908676 which is more specific in triple-negative breast cancer cells such as MCF7 through our experimental data of both parts in comparison.

https://2019.igem.org/Team:CSU_CHINA/Part_Collection

Model

Visit our Model page to take a closer look at how modeling impact our project to make the engineered system predictable.

https://2019.igem.org/Team:CSU_CHINA/Model

Demonstration

Check how our project is repeatable and realistic, and how it is followed by requirements of iGEM Safety Committee.

https://2019.igem.org/Team:CSU_CHINA/Demonstrate

SPECIAL PRIZE

Integrated Human Practices

Our HP group runs through the entire project, including different stakeholders and acting as an role model. At the beginning of the project, we selected person of interests-doctors and patients to learn about the current treatments and needs, which are informations that greatly helped the design of our loop. Due to the targating killing problem in the loop, we went to a doctor for consultation and improved the program. Doctors also advised us to focus on the advantages and disadvantages of both traditional and gene therapy. In this case, we held a debate on the topic through which we found problems in our experiment. It also helped us achieves our goals in controllability and safety. Then, on the combination of the strong promoters, we wanted to hear more ideas from different people and stimulate people's interest in synthetic biology, hoping to encourge them thinking of synthetic biology in daily life. To do that, we contact with the professor for class discussion and got some new ideas.

https://2019.igem.org/Team:CSU_CHINA/Human_Practices

Education and Public Engagement

Through a wide range of questionnaires, we know that there are two vulnerable groups: left-behind teenagers in remote areas and elderly people in communities who know little about synthetic biology and breast cancer (subject related), respectively.

We made use of VR technology and interesting games to carry out in-depth science popularization for left-behind teens. However, during the practice, we realized that one team only has limited power let along to expand its influence. Thus, we chose to conduct education and publicity for normal university students in the hope of benefiting more children.

For the elderly in community, while popularizing knowledge of breast cancer site, we found the shortage of the management of breast cancer in these community. To expand the influence, we managed to write efficiency of improve grassroots community about the elderly breast care and the methods of early detection coverage and thinking into essays and recommendation letter, and they will be sent to government’s mail box and professional magazine box respectively.

https://2019.igem.org/Team:CSU_CHINA/Public_Engagement

Model

We constructed mathematical models for the system in detail, using the chemical master equation to describe the cell expression process, and using the ordinary differential equations to describe the miRNA regulation process.

Our modeling process is progressive, predicting the situation of the three systems from shallow to deep: The first system has only the P1 system, the normal cells and cancer cells are inactivated in a big number. The second system adds the miRNA. The number of inactivated normal cells is greatly reduced, and the number of inactivated cancer cells is reduced by a small amount. The third system has module two. Inactivated cancer cells number rises again, eventually achieving high efficiency in killing cancer cells and protection of normal cells. This result is instructive for the experiment. Subsequent experimental results also confirm our predictions and prove that our model is very effective.

Inactivated cancer cells number rises again, eventually achieving high efficiency in killing cancer cells and protection of normal cells. This result is instructive for the experiment. Subsequent experimental results also confirm our predictions and prove that our model is very effective.

https://2019.igem.org/Team:CSU_CHINA/Model

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