Difference between revisions of "Team:Fudan/Protocols"

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                        <h1>Our protocols</h1>
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                        <span>We provide the full-length protocols as individual PDF files for download, with brief English descriptions on this page.</span>
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                                <img src="https://static.igem.org/mediawiki/2018/c/c1/T--Fudan--interLab-fig4.png">
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                                Figure 4. Fluorescein Standard Curve (log scale) of Fluorescein Concentration (uM) to Fluorescence
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                            For practical reasons, all full-length protocols are in Chinese.
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Revision as of 08:18, 17 October 2018

Our protocols

We provide the full-length protocols as individual PDF files for download, with brief English descriptions on this page.

Figure 4. Fluorescein Standard Curve (log scale) of Fluorescein Concentration (uM) to Fluorescence

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.