Difference between revisions of "Team:Fudan/Protocols"
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| − | <td> | + | <td>Be a Good Lab Member</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--GoodLabPractices.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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| − | <td> | + | <td>Molecular Cloning</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--MolecularCloning.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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| − | <td> | + | <td>Tissue Culture</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--CellCulture.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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| − | <td> | + | <td>Make a Stable Cell Line</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--MakeStableCellLine.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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| − | <td> | + | <td>Cell Sorting</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--FACS.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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| − | <td> | + | <td>Cell Staining</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--FixStain.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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| − | <td> | + | <td>Time-lapse Live-cell Imaging</td> |
| − | <td><a href="https:// | + | <td><a href="https://2018.igem.org/File:T--Fudan--TimeLapseImaging.pdf" target="_blank"><i class="fa fa-download"></i></a></td> |
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Revision as of 09:21, 17 October 2018
Sponsors
Figure 4. Fluorescein Standard Curve (log scale) of Fluorescein Concentration (uM) to Fluorescence
| Our protocols as PDF files | Download |
|---|---|
| Be a Good Lab Member | |
| Molecular Cloning | |
| Tissue Culture | |
| Make a Stable Cell Line | |
| Cell Sorting | |
| Cell Staining | |
| Time-lapse Live-cell Imaging |
For practical reasons, all full-length protocols are in Chinese.
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.