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Revision as of 02:54, 3 October 2018
- Acknowledgement
Acknowledgement
Team and project
- Daru Lu, Liang Cai helped us set up our team.
- Daru Lu, Liang Cai, Xiaoming Ding, Qiang Huang, Jiang Zhong and Ting Ni gave us valuable suggestions through the initial brainstorm and during every project progress report held by the School of Life Sciences of Fudan University.
- Team Fudan 2017 and team Fudan_China 2017 guided us enthusiastically during the winter vacation before we set up the team.
- Zijie Yang’s wonderful design of our 3-layer transmembrane binary logic gates.
- Yufang Zheng gave us basic information on the metalloprotease ADAM10 and ADAM17.
- Roman Jerala led us to the possible application of oscillator construction.
- Discussion with Stephen Blacklow brought us fresh thoughts on Notch core optimization.
- Lixin Yang, Xiaoying Bi, Ganjun Yu from Changhai Hospital of Shanghai gave us brilliant advice on the application of our project.
- Haotian Guo’s incisive comments on prompted us to refine the our presentation method.
Lab and technique support
- Liang Cai offered his lab space, gave us kind guidance along the way and helped with our funding.
- Graduates of Cai lab also helped us in experiments.
- Wei Xu gave us advice on conducting flow cytometry.
- Jingyi Hu, our helpful pal, also an undergraduate of Cai Lab, always helped us in doing mini-prep and gel purification, thus having the nickname "long-term worker of Fudan iGEM".
- Yiming Cai and Yijie Pan gave us practical advice on lab skills.
HP
- Xin Yuan, professor of philosophy department of Fudan University, attended our bio-ethic debate and his profound thinking enriched our understanding.
- Xinxuan Xiong and Xinyi Xu gave us useful advice about the bio-art display. They also took an active part in the preparation of the exhibition.
- Ao Feng gave us some general suggestions on human practice.
- FDU Bertalanffy Society supported us in information publishing and renting of activity space.
- School of Life Sciences, Qibao Dwight High School, Shanghai Jincai High School, The High School Affiliated to Fudan University, Changhai Hospital of Shanghai, Fudan University offered us opportunities to implement our HP.
Funding
- YunFeng Capital;
- The National Top Talent Undergraduate Training Grant;
- Fudan Discipline Development Funds.
Sponsor
- Snapgene provided us with software which helped us design and organize circuit plasmid.
Interlab
- Team Fudan-CHINA 2018 gave us a hand in completing interlab work on plate reader experiments.
Modeling&Software
- Yiheng Wang constructed our elegant amplifier model.
Wiki
- Tian Huang helped us tremendously in wiki code writing and editing.
Photos
People
Listed by alphabetical order of surnames.
Xiaoying Bi
Stephen Blacklow
Yiming Cai
Xiaoming Ding
Ao Feng
Haotian Guo
Jingyi Hu
Qiang Huang
Tian Huang
Roman Jerala
Pengfei Luo
Ting Ni
Yijie Pan
Yiheng Wang
Xinxuan Xiong
Wei Xu
Xinyi Xu
Lixing Yang
Shunhua Yang
Ganjun Yu
Xin Yuan
Jiang Zhong
Yufang Zheng
Labs, Organizations & Schools
Cai Lab
FDU Bertalanffy Society
Changhai Hospital
Jincai High School
High School Affiliated to Fudan University
Shanghai Qibao Dwight High School
iGEM Teams
Fudan-CHINA 2018
Fudan 2017
Fudan_China 2017
Abstract
Contact-dependent signaling is critical for multicellular biological events, yet customizing contact-dependent signal transduction between cells remains challenging. Here we have developed the ENABLE toolbox, a complete set of transmembrane binary logic gates. Each gate consists of 3 layers: Receptor, Amplifier, and Combiner. We first optimized synthetic Notch receptors to enable cells to respond to different signals across the membrane reliably. These signals, individually amplified intracellularly by transcription, are further combined for computing. Our engineered zinc finger-based transcription factors perform binary computation and output designed products. In summary, we have combined spatially different signals in mammalian cells, and revealed new potentials for biological oscillators, tissue engineering, cancer treatments, bio-computing, etc. ENABLE is a toolbox for constructing contact-dependent signaling networks in mammals. The 3-layer design principle underlying ENABLE empowers any future development of transmembrane logic circuits, thus contributes a foundational advance to Synthetic Biology.