Difference between revisions of "Team:Fudan-TSI/Composite Part"

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This html document is created by Tian Huang for Team Fudan iGEM 2018.
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We make it compatible on laptop and mobile devices by using Materialize 1.0.0-rc.2.
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<h3>★  ALERT! </h3>
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    <link rel="stylesheet" href="https://2018.igem.org/wiki/index.php?title=Template:Fudan/materialize.css&action=raw&ctype=text/css">
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<p>This page is used by the judges to evaluate your team for the <a href="https://2019.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2019.igem.org/Judging/Awards"> award listed below</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2019.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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<h1>Composite Parts</h1>
 
  
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A composite part is a functional unit of DNA consisting of two or more basic parts assembled together. <a href="http://parts.igem.org/wiki/index.php/Part:BBa_I13507">BBa_I13507</a> is an example of a composite part, consisting of an RBS, a protein coding region for a red fluorescent protein, and a terminator.
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    <title>2019 Team:Fudan -Composite_Part</title>
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<p>New composite BioBrick devices can be made by combining existing BioBrick Parts (like Inverters, Amplifiers, Smell Generators, Protein Balloon Generators, Senders, Receivers, Actuators, and so on).</p>
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<h3>Note</h3>
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<p>This page should list all the composite parts your team has made during your project and include direct links to your Parts main pages on the Registry. <b>You must add all characterization information for your parts on Parts Main Page on the Registry.</b> You should <b>not</b> put characterization information on this page. Remember judges will only look at the first part in the list for the Best Composite Part award, so put your best part first!</p>
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                    <div class="col s12 m6 valign-wrapper hide-on-med-and-up">
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                        <h1>Composite parts</h1>
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                    </div>
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                    <div class="col s12 m6 valign-wrapper hide-on-med-and-up">
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                        <span>This year, our BioBrick submission includes 7 versions of SynNotch receptors, with our favorite being &alpha;CD19-mN1c-tTAA.</span>
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                    </div>
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                </div>
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                    <h1>Composite parts</h1>
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                    <p><span>This year, our BioBrick submission includes 7 versions of SynNotch receptors, with our favorite being &alpha;CD19-mN1c-tTAA.</span></p>
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                </div>
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                <div class="hide-on-small-only">
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                        <h2>Part:BBa_K2549021 <a href="http://parts.igem.org/Part:BBa_K2549021" target=_blank>&alpha;CD19-mN1c-tTAA</a></h2>
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                        <h3>Introduction</h3>
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                        <p>This year we have provided 7 versions of SynNotch receptors in our BioBrick submission, enabling others to wire their contact-dependent signal transduction in mammalian cells. Multiple combinations of extracellular domains, transmembrane core regions and intracellular domains make it even easier for others to readily assemble their own desirable genetic circuits. </p>
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                        <p><b>Among the 7 SynNotch receptors, our favorite one is &alpha;CD19-mN1c-tTAA <a href="http://parts.igem.org/Part:BBa_K2549021" target="_blank">(BBa_K2549021)</a></b><br/>
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<img alt="part BBa_K2549021" src="https://static.igem.org/mediawiki/2018/thumb/0/0c/T--Fudan--BBa_K2549021.png/1339px-T--Fudan--BBa_K2549021.png" />
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</p>
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                        <h3>How &alpha;CD19-mN1c-tTAA works
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                        </h3>
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                        <p>It receives ligand-dependent signal via the CD19 scFv and undergoes a cleavage process in which the tTA advance is released, then entering into the nucleus to activate the expression of TRE3GV promotor. Thus it can be served as a signal input module.
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                        </p>
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                        <h3>Advantages of &alpha;CD19-mN1c-tTAA
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                        </h3>
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                        <p>We have conducted flow cytometry experiments to test our SynNotch receptors and after testing, &alpha;CD19-mN1c-tTAA have stood out for showing the highest signal-to-noise ratio. We have also discovered that it has the highest activation ratio when activated by surface-expressed CD19 antigen. Moreover, it also shows only a few amount of false activation which can be tolerated. As it performs great modularity and has a great potential to be utilized by others to assemble their own CD19-dependent signal transduction module, this especially enables the possibility of the clinical application of SynNotch receptors.
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                        </p>
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                        <div class="figureHolder width40" style="margin: 23px auto 0 auto;">
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                            <img class="responsive-img" src="https://static.igem.org/mediawiki/2018/b/bc/T--Fudan--composite-1.png">
  
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<h3>Best Composite Part Special Prize</h3>
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                        <p style="margin-top:0;text-indent: 0;"><b>Figure 1. Flow cytometry characterization of SynNotch receptors.</b> TRE3GV-EGFP circuit was set to indicate the activation level of SynNotch receptors. It is shown that &alpha;CD19-mN1c-tTAA has the highest signal-to-noise ratio.</p>
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                        <p>For more details, please check <a href="/Team:Fudan-TSI/Part_Collection">our parts collection page</a>.
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                        </p>
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                    </div>
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                </main>
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            </div>
  
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<p>To be eligible for this award, this part <b>must be well documented on the part's Main Page on the Registry</b>. If you have a part you wish to nominate your team for this <a href="https://2019.igem.org/Judging/Awards">special prize</a>, make sure you add your part number to your <a href="https://2019.igem.org/Judging/Judging_Form">judging form</a> and delete the alert box at the top of this page.
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            <!--Abstract on content page-->
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                <a href="#!"><img alt=alt="project summary" src="https://static.igem.org/mediawiki/2018/9/96/T--Fudan--X.svg"></a>
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                <div class="container">
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                    <h2 style="margin: 0;padding: 10px 0;">Project Summary</h2>
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                    <p style="margin: 0">Contact-dependent signaling is critical for multicellular biological
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                            events, yet customizing contact-dependent signal transduction between
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                            cells remains challenging. Here we have developed the ENABLE toolbox, a
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                            complete set of transmembrane binary logic gates. Each gate consists of
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                            3 layers: Receptor, Amplifier, and Combiner. We first optimized synthetic
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                            Notch receptors to enable cells to respond to different signals across the
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                            membrane reliably. These signals, individually amplified intracellularly by
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                            transcription, are further combined for computing. Our engineered zinc finger-based
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                            transcription factors perform binary computation and output designed products.
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                            In summary, we have combined spatially different signals in mammalian cells,
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                            and revealed new potentials for biological oscillators, tissue engineering,
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                            cancer treatments, bio-computing, etc. ENABLE is a toolbox for constructing
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                            contact-dependent signaling networks in mammals. The 3-layer design principle
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                            underlying ENABLE empowers any future development of transmembrane logic circuits,
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                            thus contributes a foundational advance to Synthetic Biology.
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                    </p>
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                </div>
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            </div>
  
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<b>Please note:</b> Judges will only look at the first part number you list, so please only enter ONE (1) part number in the judging form for this prize. </p>
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                        <div id="sponsor" class="col m3 s12 row">
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                            <a href="https://2018.igem.org/Team:Fudan" target="_blank"><img alt="2018 Team:Fudan logo white" class="col s3 m6 l3" style="position:relative; padding: 0 0.3rem; margin:-0.15rem 0; left: -0.45rem;" src="https://static.igem.org/mediawiki/2018/7/73/T--Fudan--teamLogoWhite.png">
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                            </a><a href="http://www.fudan.edu.cn/en/" target="_blank"><img class="col s3 m6 l3" alt="Fudan University" src="https://static.igem.org/mediawiki/2018/f/f7/T--Fudan--schoolLogo.png">
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                        </a><a href="http://life.fudan.edu.cn/" target="_blank"><img class="col s3 m6 l3" style="margin-bottom: 4%;/* 该图比其他小一点，排版需要 */" alt="School of Life Sciences, Fudan University" src="https://static.igem.org/mediawiki/2018/1/1d/T--Fudan--schoolOfLifeSciencesIcon.png">
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                        </a><a href="http://www.yfc.cn/en/" target="_blank"><img class="col s3 m6 l3" style="padding: 0.15rem 0.9rem;" alt="Yunfeng Capital" src="https://static.igem.org/mediawiki/2018/e/e2/T--Fudan--yunfengLogo.png">
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                        </a>
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                            <h3 class="col s12" style="text-align: left; color: rgba(255, 255, 255, 0.8); font-size: 18px">ENABLE: making cells even smarter</h3>
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                        </div>
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                        <div id="usefulLinks" class="col m9 s12 row">
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                                    <span>Project</span>
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                                    <ul>
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                                        <li><a href="/Team:Fudan-TSI/Description">Background</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Design">Design</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Protocols">Experiments</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Demonstrate">Results</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Judging">iGEM judging</a></li>
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                                    </ul>
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                                </div>
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                                <div class="col s12 m4 active">
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                                  <span><a href="/Team:Fudan-TSI/Parts">BioBricks</a></span>
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                                    <ul>
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                                        <li><a href="/Team:Fudan-TSI/Basic_Part">Basic parts</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Composite_Part">Composite parts</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Part_Collection">Part collection</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Improve">Parts improvement</a></li>
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                                    </ul>
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                                </div>
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                                <div class="col s12 m4">
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                                    <span>Lab</span>
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                                    <ul>
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                                        <li><a href="/Team:Fudan-TSI/Interlab">iGEM interLab</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Notebook">Notebook</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Protocols">Protocols</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Measurement">Quantification</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Safety">Safety</a></li>
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                                    </ul>
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                                </div>
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                            </div>
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                            <div class="col s12 l6 row">
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                                    <span>not-sure</span>
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                                    <ul>
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                                        <li><a href="/Team:Fudan-TSI/Applied_Design">Applied design</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Hardware">Hardware</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Model">Model</a></li>
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                                        <li><a href="/Team:Fudan-TSI/Software">Software</a></li>
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                                    </ul>
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                                </div>
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                                <div class="col s12 m4">
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                                    <span>Outreach</span>
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Revision as of 06:26, 29 August 2019

<script src="https://ajax.aspnetcdn.com/ajax/jQuery/jquery-1.11.3.min.js"></script> 2019 Team:Fudan -Composite_Part

Composite parts

This year, our BioBrick submission includes 7 versions of SynNotch receptors, with our favorite being αCD19-mN1c-tTAA.

Composite parts

This year, our BioBrick submission includes 7 versions of SynNotch receptors, with our favorite being αCD19-mN1c-tTAA.

Part:BBa_K2549021 αCD19-mN1c-tTAA

Introduction

This year we have provided 7 versions of SynNotch receptors in our BioBrick submission, enabling others to wire their contact-dependent signal transduction in mammalian cells. Multiple combinations of extracellular domains, transmembrane core regions and intracellular domains make it even easier for others to readily assemble their own desirable genetic circuits.

Among the 7 SynNotch receptors, our favorite one is αCD19-mN1c-tTAA (BBa_K2549021)
part BBa_K2549021

How αCD19-mN1c-tTAA works

It receives ligand-dependent signal via the CD19 scFv and undergoes a cleavage process in which the tTA advance is released, then entering into the nucleus to activate the expression of TRE3GV promotor. Thus it can be served as a signal input module.

Advantages of αCD19-mN1c-tTAA

We have conducted flow cytometry experiments to test our SynNotch receptors and after testing, αCD19-mN1c-tTAA have stood out for showing the highest signal-to-noise ratio. We have also discovered that it has the highest activation ratio when activated by surface-expressed CD19 antigen. Moreover, it also shows only a few amount of false activation which can be tolerated. As it performs great modularity and has a great potential to be utilized by others to assemble their own CD19-dependent signal transduction module, this especially enables the possibility of the clinical application of SynNotch receptors.

Figure 1. Flow cytometry characterization of SynNotch receptors. TRE3GV-EGFP circuit was set to indicate the activation level of SynNotch receptors. It is shown that αCD19-mN1c-tTAA has the highest signal-to-noise ratio.

For more details, please check our parts collection page.

alt="project

Project Summary

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.