Difference between revisions of "Team:Fudan/Sponsors"

m
Line 3: Line 3:
 
<!--
 
<!--
 
This html document is created by Tian Huang for Team Fudan iGEM 2018.
 
This html document is created by Tian Huang for Team Fudan iGEM 2018.
We make it compatible both on laptop and mobile devices using Materialize 1.0.0-rc.2.
+
We make it compatible on laptop and mobile devices by using Materialize 1.0.0-rc.2.
 
-->
 
-->
 
<head>
 
<head>
Line 273: Line 273:
 
                 <a href="#!"><img src="https://static.igem.org/mediawiki/2018/9/96/T--Fudan--X.svg"></a>
 
                 <a href="#!"><img src="https://static.igem.org/mediawiki/2018/9/96/T--Fudan--X.svg"></a>
 
                 <div class="container">
 
                 <div class="container">
                     <h2 style="margin: 0;line-height: 36px;">Abstract</h2>
+
                     <h2 style="margin: 0;padding: 10px 0;">Abstract</h2>
                     <p>Contact-dependent signaling is critical for multicellular biological
+
                     <p style="margin:0;">Contact-dependent signaling is critical for multicellular biological
 
                         events, yet customizing contact-dependent signal transduction between
 
                         events, yet customizing contact-dependent signal transduction between
 
                         cells remains challenging. Here we have developed the ENABLE toolbox, a
 
                         cells remains challenging. Here we have developed the ENABLE toolbox, a

Revision as of 01:44, 11 October 2018

Our sponsors

Crowd backers (10/4/2018 - 10/9/2018)

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.