Difference between revisions of "Team:Fudan/Primers"

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                         <span>We provide the complete list of all primers used in this project on this page, as well as gBlock sequences.</span>
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                         <span>&nbsp;</span>
 
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                     <h1>Primers used</h1>
 
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                     <p><span>We provide the complete list of all primers used in this project on this page, as well as gBlock sequences.</span></p>
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                     <p><span>&nbsp;</span></p>
 
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                     <li><a href="https://2018.igem.org/Team:Fudan/Notebook">Our notebook</a></li>
 
                     <li><a href="https://2018.igem.org/Team:Fudan/Notebook">Our notebook</a></li>
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                     <li>Primers used</li>
 
                     <li><a href="https://2018.igem.org/Team:Fudan/Protocols">Protocols</a></li>
 
                     <li><a href="https://2018.igem.org/Team:Fudan/Protocols">Protocols</a></li>
 
                     <li style="margin-bottom: 10px;"><a href="https://2018.igem.org/Team:Fudan/Safety">Safety</a></li>
 
                     <li style="margin-bottom: 10px;"><a href="https://2018.igem.org/Team:Fudan/Safety">Safety</a></li>
 
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                     <p>Primers</p>
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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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                    <p>gBlocks</p>
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Revision as of 09:50, 17 October 2018

Primers used

 

Primers used

 

Primers

gBlocks

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.