Team:SiCAU-China/Collaborations



Introduction & Acknowledgements


This is our first time to participate in iGEM. We are completely novice, so the collaborations with other teams help us a lot in the process of carrying out experimental projects. This summer, we received a lot of teams’ help when we encountered straits from the project preparation to the experimental development owing to lack of experience and support. We would greatly appreciate these teams, SCU-China, SCU-WestChina, TMMU-China, UESTC-China, Peking, Shanghaitech. Furthermore, we also do our best to help other teams, striving for better results through mutual cooperation.








SiCAU & Southwest union



We joined the Southwest union in 2015 which brings together all iGEM teams in Southwest China and some teams interested in iGEM. Members of the union include TMMU-China, UESTC-China, SCU-China, SCU-WestChina and so on. The southwest exchanging meet was held by SCU-WestChina in April 2017 for each teams exchange views on the displayed projects. we had a more profound understanding of the project after participating in this exchange. The schoolmaster gave us numerous inspiration of design and optimization the project after showing the initial project on cancer detection. it is also the intention of hoiding the southwest conference in the early stage, in order to discover the deficiencies and limitations of the project through communication, and improve it before the experiment is carried out.
Thanks of the Southwest union, the relationship of each team is closer . At the start of experiment, the five teams, SCU-China, SCU-WestChina, TMMU-China, UESTC-China, Peking, provide us with many the past iGEM parts solving our problem of lacking templates before kits arriving. Besides we provide SCU-WestChina the chassis cell , Salmonella, which can degrades uric acid.






SiCAU & Shanghaitech



We provide Shanghai tech the gene fragment they lacking, and they initially validated the positive feedback system for us by the way. According their feedback, we know that though the positive feedback system is effective, there are defects, so we further optimize it later.