Difference between revisions of "Team:XMU-China/Improve"

 
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                                 <li><a href="https://2018.igem.org/Team:XMU-China/Description">Description</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Description">Description</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Design">Design</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Design">Design</a></li>
                                <li><a href="https://2018.igem.org/Team:XMU-China/Demonstrate">Demonstrate</a></li>
 
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Results">Results</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Results">Results</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Demonstrate">Demonstrate</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Parts">Parts</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Parts">Parts</a></li>
 
                             </ul>
 
                             </ul>
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                             <ul>
 
                             <ul>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware">Overview</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware">Overview</a></li>
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware/Microfluidic_Chips">Microfluidic chips</a></li>
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Microfluidic_Chips">Microfluidic Chips</a></li>
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware/Fluorescenc_Detection">Fluorescence Detection</a></li>
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Fluorescence_Detection">Fluorescence Detection</a></li>
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware/Straberry_Pi">Straberry Pi</a></li>
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Raspberry_Pi">Raspberry Pi</a></li>
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Applied_Design">Applied Design</a></li>
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Application">Application</a></li>
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Software">APP</a></li>
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Software">Software</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Applied_Design">Product Design</a></li>
 
                             </ul>
 
                             </ul>
 
                         </li>
 
                         </li>
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                             <a href="#">Model</a>
 
                             <a href="#">Model</a>
 
                             <ul>
 
                             <ul>
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Model">Overview</a></li>
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Model#Summary">Summary</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Model#Thermodynamic_model">Thermodynamic Model</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Model#Fluid_dynamics_model">Fluid dynamics Model</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Model#Molecular_docking_model">Molecular Docking Model</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Model#The_dynamic_model">Derivation of Rate Equation</a></li>
 
                             </ul>
 
                             </ul>
 
                         </li>
 
                         </li>
 
                         <li class="Human_Practice">
 
                         <li class="Human_Practice">
                             <a href="#">Human Practice</a>
+
                             <a href="#">Social Works</a>
 
                             <ul>
 
                             <ul>
                                 <li><a href="https://2018.igem.org/Te
+
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Human_Practices">Human Practice</a></li>
                                am:XMU-China/Human_Practices">Overview</a></li>
+
                                <li><a href="https://2018.igem.org/Team:XMU-China/HP/Silver">Silver</a></li>
+
                                <li><a href="https://2018.igem.org/Team:XMU-China/HP/Gold_Integrated">Gold</a></li>
+
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Public_Engagement">Engagement</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Public_Engagement">Engagement</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Collaborations">Collaborations</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Collaborations">Collaborations</a></li>
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                                 <li><a href="https://2018.igem.org/Team:XMU-China/Notebook">Notebook</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Notebook">Notebook</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Experiments">Experiments</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Experiments">Experiments</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/Engineering">Engineering</a></li>
 
                             </ul>
 
                             </ul>
 
                         </li>
 
                         </li>
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                                 <li><a href="https://2018.igem.org/Team:XMU-China/Attributions">Attributions</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Attributions">Attributions</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Judging">Judging</a></li>
 
                                 <li><a href="https://2018.igem.org/Team:XMU-China/Judging">Judging</a></li>
 +
                                <li><a href="https://2018.igem.org/Team:XMU-China/After_iGEM">After iGEM</a></li>
 
                             </ul>
 
                             </ul>
 
                         </li>
 
                         </li>
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     <script src="https://2018.igem.org/Team:XMU-China/js/hc-mobile-nav?action=raw&ctype=text/javascript"></script>
 
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                 <div id="Team">
 
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                     <div class="nav-word">Team</div>
 
                     <div class="nav-word">Team</div>
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                         <li><a href="https://2018.igem.org/Team:XMU-China/Attributions">Attributions</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Attributions">Attributions</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Judging">Judging</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Judging">Judging</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/After_iGEM">After iGEM</a></li>
 
                     </ul>
 
                     </ul>
 
                 </div>
 
                 </div>
 
                 <div id="Notebook">
 
                 <div id="Notebook">
                     <div>
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                     <div class="nav-word">Notebook</div>
                        <div class="nav-word">Notebook</a></div>
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                    </div>
+
 
                     <ul>
 
                     <ul>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Notebook">Notebook</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Notebook">Notebook</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Experiments">Experiments</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Experiments">Experiments</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Engineering">Engineering</a></li>
 
                     </ul>
 
                     </ul>
 
                 </div>
 
                 </div>
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                 </div>
 
                 </div>
 
                 <div id="Human_Practice">
 
                 <div id="Human_Practice">
                     <div class="nav-word">Human Practice</div>
+
                     <div class="nav-word">Social Works</div>
 
                     <ul>
 
                     <ul>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Human_Practices">Overview</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Human_Practices">Human Practice</a></li>
                        <li><a href="https://2018.igem.org/Team:XMU-China/HP/Silver">Silver</a></li>
+
                        <li><a href="https://2018.igem.org/Team:XMU-China/HP/Gold_Integrated">Gold</a></li>
+
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Public_Engagement">Engagement</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Public_Engagement">Engagement</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Collaborations">Collaborations</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Collaborations">Collaborations</a></li>
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                     <div class="nav-word">Model</div>
 
                     <div class="nav-word">Model</div>
 
                     <ul>
 
                     <ul>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Model">Overview</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Model">Summary</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Model#Thermodynamic_model">Thermodynamic Model</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Model#Fluid_dynamics_model">Fluid dynamics Model</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Model#Molecular_docking_model">Molecular Docking Model</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Model#The_dynamic_model">Derivation of Rate Equation</a></li>
 
                     </ul>
 
                     </ul>
 
                 </div>
 
                 </div>
 
                 <div id="Hardwork">
 
                 <div id="Hardwork">
                     <div class="nav-word">Hardwork</div>
+
                     <div class="nav-word">Hardware</div>
 
                     <ul>
 
                     <ul>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware">Overview</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware">Overview</a></li>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware/Microfluidic_Chips">Microfluidic chips</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Microfluidic_Chips">Microfluidic Chips</a></li>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware/Fluorescenc_Detection">Fluorescence Detection</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Fluorescence_Detection">Fluorescence Detection</a></li>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware/Straberry_Pi">Straberry Pi</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Raspberry_Pi">Raspberry Pi</a></li>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Applied_Design">Applied Design</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Hardware#Application">Application</a></li>
                         <li><a href="https://2018.igem.org/Team:XMU-China/Software">APP</a></li>
+
                         <li><a href="https://2018.igem.org/Team:XMU-China/Software">Software</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Applied_Design">Product Design</a></li>
 
                     </ul>
 
                     </ul>
 
                 </div>
 
                 </div>
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                         <li><a href="https://2018.igem.org/Team:XMU-China/Description">Description</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Description">Description</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Design">Design</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Design">Design</a></li>
                        <li><a href="https://2018.igem.org/Team:XMU-China/Demonstrate">Demonstrate</a></li>
 
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Results">Results</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Results">Results</a></li>
 +
                        <li><a href="https://2018.igem.org/Team:XMU-China/Demonstrate">Demonstrate</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Parts">Parts</a></li>
 
                         <li><a href="https://2018.igem.org/Team:XMU-China/Parts">Parts</a></li>
 
                     </ul>
 
                     </ul>
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                     </a>
 
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             <div class="word">Improve</div>
 
             <div class="word">Improve</div>
 
         </div>
 
         </div>
         <!-- <nav class="Quick-navigation">
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                <img  src="https://static.igem.org/mediawiki/2018/f/f5/T--XMU-China--right0.png">
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                <a href="#ABCDsystem" class="Quick-navigation-item">
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                    <img id="turn_img" src="https://static.igem.org/mediawiki/2018/d/db/T--XMU-China--right1.png">
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                    <a href="#ABCDsystem"id="Quick_A">ABCD System</a></a>
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                <a href="#OMVs" class="Quick-navigation-item" >
+
                    <img id="turn_img" src="https://static.igem.org/mediawiki/2018/c/cd/T--XMU-China--right2.png">
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                    <a href="#OMVs" id="Quick_B">OMVs</a></a>
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                <a href="#KaiABC" class="Quick-navigation-item">
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                    <img id="turn_img" src="https://static.igem.org/mediawiki/2018/1/1c/T--XMU-China--right3.png">
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                    <a href="#KaiABC" id="Quick_C">KaiABC</a></a>
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         <div class="main">
 
         <div class="main">
            <!-- <section id="ABCDsystem" class="js-scroll-step">
 
                <div class="headline">
 
                    Measurement of ABCD System
 
                </div>
 
                <p>To construct this system and verify the feasibility of this system, we divided the whole structure of ABCD system to four parts by flexibly utilizing the modular features of Synthetic Biology.</p>
 
                <p>First of all, the aptamer SYL3C<sup>[1]</sup> and its “complementary strand” must form a structure of double-strand, which was the basis of competition (see more details in our <span><a  class="click_here" href="https://2018.igem.org/Team:XMU-China/Design">Design</a></span>). The electrophoretic behavior of ssDNA is evidently different from that of dsDNA due to their different conformations<sup>[2]</sup>. On this basis, we used electrophoresis to prove that the SYL3C-C3-FITC complex indeed formed (Figure 1, see more details in our <span><a  class="click_here" href="https://2018.igem.org/Team:XMU-China/Results">Results</a></span>).</p>
 
                <p class="F4">
 
                    <img src="https://static.igem.org/mediawiki/2018/6/66/T--XMU-China--measurement1.png">
 
                    <p class="Figure_word">
 
                        Figure 1. The results of electrophoresis.</p>
 
                </p>
 
                <h2>II.Particle Standard Curve</h2>
 
                <p>Aptamer's binding its target is also significant because this is the propulsion of competition. It is worth mentioning that there are many ways to show these two molecules’ binding and their affinity<sup>[3]</sup>. This time we used an approach of <strong>ultrafiltration</strong> (Figure 2) to prove the binding of SYL3C and EpCAM. Those EpCAM which bind the SYL3C-FAM will be intercepted by the special filter, which would cause the decrease in fluorescence intensity of the filtrate after centrifugation (Figure 3, see more details in our <span><a  class="click_here" href="https://2018.igem.org/Team:XMU-China/Results">Results</a></span>). The measurement of fluorescence intensity was completed by using a microplate reader (Figure 4).</p>
 
                <p class="F7">
 
                    <img src="https://static.igem.org/mediawiki/2018/d/d2/T--XMU-China--measurement2.png">
 
                    <p class="Figure_word">
 
                        Figure 2. The ultrafiltration tube produced by Amicon®.
 
                    </p>
 
                </p>
 
                <p class="F6">
 
                    <img src="https://static.igem.org/mediawiki/2018/6/67/T--XMU-China--measurement3.png">
 
                    <p class="Figure_word">
 
                        Figure 3. The results of ultrafiltration.</p>
 
                </p>
 
                <h2>III. Fluorescence standard curve</h2>
 
                <p class="F6">
 
                    <img src="https://static.igem.org/mediawiki/2018/d/d9/T--XMU-China--measurement4.png">
 
                    <p class="Figure_word">
 
                        Figure 4. Microplate reader (Tecan Infinite® M200 Pro).</p>
 
                </p>
 
                <p>Then to prove whether competition was feasible or not, the traditional <strong>fluorescence</strong> approach was used accordingly. The C3 strand was modified by linking a FITC label. The successful outcome of the competition can verify that EpCAM squeezed out the C3 from SYL3C-C3-FITC complex, and the fluorescence intensity of supernatant of “adding EpCAM” would show significant differences to that of “without EpCAM” (Figure 5, see more details in our <span><a class="click_here" href="https://2018.igem.org/Team:XMU-China/Results">Results</a></span>. In addition, we used a fluorescence spectrometer (Figure 6) to carry out the measuring task rather than a microplate reader used before, which meant that diverse measurement methods were involved appropriately and reliably in our experiments. </p>
 
                <p class="F6">
 
                    <img src="https://static.igem.org/mediawiki/2018/e/ef/T--XMU-China--measurement5.png">
 
                    <p class="Figure_word">
 
                        Figure 5. The results of competition (4-“adding EpCAM”, 3-“without EpCAM”).</p>
 
                </p>
 
                <p class="F6">
 
                    <img src="https://static.igem.org/mediawiki/2018/2/2e/T--XMU-China--measurement6.png">
 
                    <p class="Figure_word">
 
                        Figure 6. Fluorescence spectrometer (Shimadzu® RF-6000).</p>
 
                </p>
 
                <p class="F6">
 
                    <img src="https://static.igem.org/mediawiki/2018/3/3f/T--XMU-China--measurement7.png">
 
                    <p class="Figure_word">
 
                        Figure 7. The results of characterization.</p>
 
                </p>
 
                <p>Last but not least, the effectiveness of the amplifier and reporter of ABCD system being proved was also essential (see more details in our <span><a  class="click_here" href="https://2018.igem.org/Team:XMU-China/Design">Design</a></span>. A special short ssDNA of 21nt was used to activate the Cpf1 protein which had been incubated with the corresponding crRNA in advance in order to form the RNP complex. After this, we set controls and made distributions by manipulating DNaseAlertTM Substrate Nuclease Detection System<sup>[4]</sup> (provided by IDT®) to test if the activity of trans-cleavage<sup>[5], [6]</sup> of Cpf1 was activated. Such a method had already been reported before to check DNase activity of Cpf1<sup>[6]</sup>. The microplate reader was used again to measure the fluorescence intensity due to continuous measurement over time. A significant trend of increase of fluorescence intensity showed a satisfying result that the activity was activated evidently (Figure 7, see more details in our <span><a class="click_here" href="https://2018.igem.org/Team:XMU-China/Results">Results</a></span>). </p>
 
                <h1>References</h1>
 
                <p class="reference">
 
                    [1] Yanling Song, Zhi Zhu, Yuan An, Weiting Zhang, Huimin Zhang, Dan Liu, Chundong Yu, Wei Duan, Chaoyong James Yang, Selection of DNA Aptamers against Epithelial Cell Adhesion Molecule for Cancer Cell Imaging and Circulating Tumor Cell Capture, <i>Anal Chem</i>, <strong>2013</strong>, 85, 4141-4149. <br>
 
                    [2] Janet Iwasa, Wallace Marshall, Karp’s Cell and Molecular Biology: Concepts and Experiments(8th ed.), <i>Wiley: Hoboken, NJ</i>, <strong>2016</strong>, 719. <br>
 
                    [3] Ge Yang, Qiang Wei, Xinying Zhao, Feng Qu, Research advances of aptamers selection for protein targets, <i>Chinese Journal of Chromatography</i>, <strong>2016</strong>, 34, 370-381. <br>
 
                </p>
 
            </section>
 
            <section id="OMVs" class="js-scroll-step">
 
                <div class="headline ">
 
                    Measurement of OMVs
 
                </div>
 
                <h1>HSFCM</h1>
 
                <p>We utilized rather sensitive flow cytometer built by Yan’s lab to analyze our OMVs labeled with fluorescence proteins (Figure 1) <sup>[1]</sup>. It has been reported that HSFCM could be a high throughput and multiaparameter instrument for single-OMV analysis. We detected the GFP positive or RFP positive OMVs from total OMVs isolated to evaluate the functions of our parts. </p>
 
                <p class="F25">
 
                    <img src="https://static.igem.org/mediawiki/2018/0/08/T--XMU-China--measurement-omvs-1.png">
 
                    <p class="Figure_word">Figure 1. Schematic illustration of HSFCM <sup>[1]</sup>.</p>
 
                </p>
 
                <h1>SDS-PAGE</h1>
 
                <p>We used SDS-PAGE to distinguish proteins secreted in both bacteria and OMVs (Figure 2). Because of limited time, we could neither purify our proteins nor further characterize them. We would finish these experiments in the future.</p>
 
                <p class="F25">
 
                    <img src="https://static.igem.org/mediawiki/2018/c/c1/T--XMU-China--measurement-omvs-2.png">
 
                    <p class="Figure_word">Figure 2. Schematic illustration of SDS-PAGE.</p>
 
                </p>
 
                <h1> TEM</h1>
 
                <p>We isolated our OMVs and sent them to the NIDVD (http://nidvd.xmu.edu.cn/) to take pictures by TEM. We'd like to extend our heartfelt thanks toward Prof. Chen for his kind help.</p>
 
                <p class="F25">
 
                    <img src="https://static.igem.org/mediawiki/2018/c/c9/T--XMU-China--measurement-omvs-3.png">
 
                    <p class="Figure_word">Figure 3. Schematic illustration of TEM <sup>[2]</sup>.</p>
 
                </p>
 
                <h1>References</h1>
 
                <p class="reference">[1] Tian Y, Ma L, Gong M, et al. Protein Profiling and Sizing of Extracellular Vesicles from Colorectal Cancer Patients via Flow Cytometry. [J]. <i>Acs Nano</i>, <strong>2018</strong>, 12(1). <br>
 
                    <a href="https://en.wikipedia.org/wiki/Transmission_electron_microscopy">[2] https://en.wikipedia.org/wiki/Transmission_electron_microscopy</a></p>
 
            </section> -->
 
 
             <section id="KaiABC" class="js-scroll-step">
 
             <section id="KaiABC" class="js-scroll-step">
                <div class="headline">
 
                    Improve of KaiABC
 
                </div>
 
 
                 <h1>Background</h1>
 
                 <h1>Background</h1>
 
                 <p>Rhythmic oscillator remains a hot topic in synthetic biology for a long time. The periodic expression of protein can be realized by the rhythm oscillator, so as to realize the regular expression of non-inductor and the biological timer. The most common oscillator is the Repressilator, a circuit of three proteins encoded by three genes that suppress each other. However, there are some complex problems and many unknown factors in Repressilator. Besides, the stability of the constructed cycle time period is weak, which can cause problems for its further design and engineering utilization. <br>
 
                 <p>Rhythmic oscillator remains a hot topic in synthetic biology for a long time. The periodic expression of protein can be realized by the rhythm oscillator, so as to realize the regular expression of non-inductor and the biological timer. The most common oscillator is the Repressilator, a circuit of three proteins encoded by three genes that suppress each other. However, there are some complex problems and many unknown factors in Repressilator. Besides, the stability of the constructed cycle time period is weak, which can cause problems for its further design and engineering utilization. <br>
                    Twelve years ago, Harvard_2006 had tried to rebuild rhythmic oscillator of Cyanobacteria PCC7942 in E.coli. But the transcription factors that link the Kai clock to gene regulation in cyanobacteria were not well understood. Therefore they tested their clock in E. coli by measuring the amounts of phosphorylated and unphosphorylated KaiC via Western blot. More details can be viewed in <a href="https://2006.igem.org/wiki/index.php/Harvard_2006">the link</a>.
+
                <p>Twelve years ago, Harvard_2006 had tried to rebuild rhythmic oscillator of <i>Cyanobacteria</i> PCC7942 in <i>E. coli</i>. But the transcription factors that link the Kai clock to gene regulation in <i>Cyanobacteria</i> were not well understood. Therefore they tested their clock in <i>E. coli</i> by measuring the amounts of phosphorylated and unphosphorylated KaiC via western blot. More details can be viewed in <a href="https://2006.igem.org/wiki/index.php/Harvard_2006">the link</a>.
 
                     <br>
 
                     <br>
                    However, some proteins related with Kai have been studied for years, such as SasA, RpaA and CikA. We XMU-China aim to improve what Harvard did twelve years ago and push the utilization of circadian to a new level.
+
                <p>However, some proteins related with Kai have been studied for years, such as SasA, RpaA and CikA. We XMU-China aimed to improve what Harvard did twelve years ago and push the utilization of circadian to a new level. <br>
 
                 </p>
 
                 </p>
 
                 <p class="F1">
 
                 <p class="F1">
                     <img src="https://static.igem.org/mediawiki/2018/e/e1/T--XMU-China--kai-improve-1.png">
+
                     <img src="https://static.igem.org/mediawiki/2018/e/e1/T--XMU-China--kai-improve-1.png"><p class="Figure_word"><strong>Figure 1.</strong> The schematic illustration of KaiABC system.</p>
 
                 </p>
 
                 </p>
 
                     <h1>Abstract</h1>
 
                     <h1>Abstract</h1>
                     <p>Having considered the situation mentioned above, we turn our attention to the circadian rhythm system within the prokaryotic system. Finally, we chose the Kai protein system as our project. <br>
+
                     <p>Having considered the situation mentioned above, we turn our attention to the circadian rhythm system within the prokaryotic system. Finally, we choosed the Kai protein system as our project. <br>
                        KaiABC system is the circadian system in cyanobacteria. Oscillations are controlled by phosphorylation of the KaiC protein, which is modulated by the KaiA and KaiB proteins. In 2015, Professor Silver of Harvard University first transplanted the circadian oscillators, KaiABC system and associated protein into noncircadian bacterium Escherichia. coli and successfully constructed a circadian rhythm. Realizing the potential application prosects of KaiABC system, we modified their design: we added RpaA, CikA and SasA into the genetic circuits. We aim to use such three proteins to connect the KaiC’s oscillators with an output signal, which is supposed to be a 24-hour rhythmic fluorescence.
+
                    <p>KaiABC system is the circadian system in <i>Cyanobacteria</i>. Oscillations are controlled by phosphorylation of the KaiC protein, which is modulated by the KaiA and KaiiB proteins. In 2015, Professor Silver of Harvard University first transplanted the circadian oscillators, KaiABC system and associated protein into noncircadian bacterium <i>Escherichia. coli</i> and successfully constructed a circadian rhythm. Realizing the potential application prosects of KaiABC system, we modified their design: we added RpaA, CikA and SasA into the genetic circuits. We aim to use such three proteins to connect the KaiC's oscillators with an output signal, which is supposed to be a 24-hour rhythmic fluorescence. <br>
 
                     </p>
 
                     </p>
 
                     <p class="F2">
 
                     <p class="F2">
 
                         <img src="https://static.igem.org/mediawiki/2018/e/e1/T--XMU-China--kai-improve-2.png">
 
                         <img src="https://static.igem.org/mediawiki/2018/e/e1/T--XMU-China--kai-improve-2.png">
                         <p class="Figure_word">Fig 1 Timekeeping, entrainment and output signaling functions are highlighted within the oscillatory cycle of the cyanobacterial clock.<sup>[1]</sup></p>
+
                         <p class="Figure_word"><strong>Figure 2.</strong> Timekeeping, entrainment and output signaling functions are highlighted within the oscillatory cycle of the cyanobacterial clock (imitate Swan J A, <i>et al</i> <sup>[1]</sup>).</p>
 
                     </p>
 
                     </p>
 
                     <p>Powered by ATPase activity of its CI domain, KaiC cycles through a series of phosphorylation states, which are interdependent on its quaternary structure. KaiA is bound to the CII domain of KaiC during the day and stimulates phosphorylation. This process is sensitive to the ATP/ADP ratio, which peaks at midday, providing an entrainment cue. At night, levels of oxidized quinones will rise in the cell, which entrains the clock as well. Around this time, KaiC reaches the pS/pT state, and SasA binds to the CI domain to activate RpaA. CI-bounding SasA is eventually competed away by KaiB. Binding of KaiB is slowed by its intrinsically unfavorable equilibrium that sequesters it in inactive states. Accumulation of KaiB in its KaiC-bound form recruits and inactivates KaiA. CikA also interacts with the fold-switched form of KaiB, which dephosphorylates RpaA and then inactivate it. <sup>[1]</sup></p>
 
                     <p>Powered by ATPase activity of its CI domain, KaiC cycles through a series of phosphorylation states, which are interdependent on its quaternary structure. KaiA is bound to the CII domain of KaiC during the day and stimulates phosphorylation. This process is sensitive to the ATP/ADP ratio, which peaks at midday, providing an entrainment cue. At night, levels of oxidized quinones will rise in the cell, which entrains the clock as well. Around this time, KaiC reaches the pS/pT state, and SasA binds to the CI domain to activate RpaA. CI-bounding SasA is eventually competed away by KaiB. Binding of KaiB is slowed by its intrinsically unfavorable equilibrium that sequesters it in inactive states. Accumulation of KaiB in its KaiC-bound form recruits and inactivates KaiA. CikA also interacts with the fold-switched form of KaiB, which dephosphorylates RpaA and then inactivate it. <sup>[1]</sup></p>
 
                     <h1>Design</h1>
 
                     <h1>Design</h1>
 
                     <p class="F2">
 
                     <p class="F2">
                         <img src="https://static.igem.org/mediawiki/2018/4/4e/T--XMU-China--kai-improve-3.png">
+
                         <img src="https://static.igem.org/mediawiki/2018/4/4e/T--XMU-China--kai-improve-3.png"><p class="Figure_word"><strong>Figure 3.</strong> The gene circle of the Repressilator, which includes three proteins encoded by three genes that rebuild Kai circadian oscillator.</p>
  
 
                     </p>
 
                     </p>
 
                         <p>Three key proteins, KaiA, KaiB, and KaiC, comprise the central circadian oscillator . KaiC undergoes ordered autophosphorylation and autodephosphorylation events that signal the time of the day (oscillator timekeeping) for the control of genetic expression patterns. Most important to the circadian control of cellular responses is the ordered phosphorylation of two adjoining amino acid residues (Thr432 and Ser431) in the CII domain of KaiC; they become sequentially phosphorylated and then dephosphorylated during a cycle about 24h. As there are two phosphorylation sites, there are four possible states in every KaiC monomer (ST, SpT, pSpT, and pST. pS and pT represent phosphorylated Ser431 and phosphorylated Thr432, respectively). KaiA facilitates the phosphorylation of Thr432 and then Ser431. Subsequently, KaiB antagonizes KaiA activity, and then KaiC undergoes autodephosphorylation of Thr432 and then Ser431. The association/dissociation of all three Kai proteins controls the period, phase, and amplitude of the circadian oscillator. <sup>[2]</sup></p>
 
                         <p>Three key proteins, KaiA, KaiB, and KaiC, comprise the central circadian oscillator . KaiC undergoes ordered autophosphorylation and autodephosphorylation events that signal the time of the day (oscillator timekeeping) for the control of genetic expression patterns. Most important to the circadian control of cellular responses is the ordered phosphorylation of two adjoining amino acid residues (Thr432 and Ser431) in the CII domain of KaiC; they become sequentially phosphorylated and then dephosphorylated during a cycle about 24h. As there are two phosphorylation sites, there are four possible states in every KaiC monomer (ST, SpT, pSpT, and pST. pS and pT represent phosphorylated Ser431 and phosphorylated Thr432, respectively). KaiA facilitates the phosphorylation of Thr432 and then Ser431. Subsequently, KaiB antagonizes KaiA activity, and then KaiC undergoes autodephosphorylation of Thr432 and then Ser431. The association/dissociation of all three Kai proteins controls the period, phase, and amplitude of the circadian oscillator. <sup>[2]</sup></p>
                         <p class="F2"><img src="https://static.igem.org/mediawiki/2018/e/ec/T--XMU-China--kai-improve-4.png"></p>
+
                         <p class="F2"><img src="https://static.igem.org/mediawiki/2018/e/ec/T--XMU-China--kai-improve-4.png"></p><p class="Figure_word"><strong>Figure 4.</strong> The gene circle of the transcription factors that link with the Kai clock.</p>
 
                             <p>For transcription, we selected SasA, CikA, and RpaA proteins, as well as pKaiBC, which can respond to the oscillator. Among them, self-phosphorylated KaiC can phosphorylate SasA, which will then transfer phosphate groups to RpaA, thereby activating RpaA as a transcription factor and inducing pKaiBC to transcribe downstream related proteins. But phosphorylated RpaA constantly activates transcription, so we added CikA as a protein to dephosphorylate the RpaA. In this way, the 24-hour oscillations of KaiC phosphorylation are transformed into periodic oscillations at the transcriptional level.</p>
 
                             <p>For transcription, we selected SasA, CikA, and RpaA proteins, as well as pKaiBC, which can respond to the oscillator. Among them, self-phosphorylated KaiC can phosphorylate SasA, which will then transfer phosphate groups to RpaA, thereby activating RpaA as a transcription factor and inducing pKaiBC to transcribe downstream related proteins. But phosphorylated RpaA constantly activates transcription, so we added CikA as a protein to dephosphorylate the RpaA. In this way, the 24-hour oscillations of KaiC phosphorylation are transformed into periodic oscillations at the transcriptional level.</p>
                             <p class="F2"><img src="https://static.igem.org/mediawiki/2018/6/67/T--XMU-China--kai-improve-5.png"></p>
+
                             <p class="F2"><img src="https://static.igem.org/mediawiki/2018/6/67/T--XMU-China--kai-improve-5.png"><p class="Figure_word"><strong>Figure 5.</strong> The gene circle of pKaiBC and reporter gene, which can respond to the oscillator.</p>
                                 <p>Finally, we choose sfYFP BBa-K864100 to present the rhythm, which is supposed to be a 24-hour rhythmic fluorescence. And Bioluminescence assays were performed as described. <sup>[3]</sup></p>
+
                                 <p>Finally, we choosed sfYFP BBa_K864100 to present the rhythm, which is supposed to be a 24-hour rhythmic fluorescence. And Bioluminescence assays were performed as described. <sup>[3]</sup></p>
 
                                 <h1>Advantage</h1>
 
                                 <h1>Advantage</h1>
                                 <p>1.
+
                                 <p class="reference">1.
 
                                 Compared with the traditional repressilators and time-delay pacemakers, the Kai protein system has a longer period, and its stability is optimized due to its natural origin. Furthermore, Kai system can restore the rhythm in the natural state to the maximum extent, which is of more application value. <br>
 
                                 Compared with the traditional repressilators and time-delay pacemakers, the Kai protein system has a longer period, and its stability is optimized due to its natural origin. Furthermore, Kai system can restore the rhythm in the natural state to the maximum extent, which is of more application value. <br>
 
                                 2.
 
                                 2.
 
                                 Through the mutation of KaiC phosphorylation site, the circadian cycle length can be controlled. By regulating the nutrition of the culture and the intensity of RBS, we can adjust the amplitude of circadian rhythm curve. <br>
 
                                 Through the mutation of KaiC phosphorylation site, the circadian cycle length can be controlled. By regulating the nutrition of the culture and the intensity of RBS, we can adjust the amplitude of circadian rhythm curve. <br>
 
                                 3 .
 
                                 3 .
                                 The signal pathway of cyanobacteria provides design space for other inducible promoters in the gene circuit, which will not interfere with other signal pathways such as the group induction system.</p>
+
                                 The signal pathway of <i>Cyanobacteria</i> provides design space for other inducible promoters in the gene circuit, which will not interfere with other signal pathways such as the group induction system.</p>
 
                                 <h1>Application </h1>
 
                                 <h1>Application </h1>
                                 <p>In the literature, we see that other scholars' expectations of the Kai protein system were initially applied to the relief of jet lag. On this basis, we put forward more ideas about the application direction of this system. <br>
+
                                 <p>In the literature, we see that other scholars' expectations of the Kai protein system were initially applied to the relief of jet lag. On this basis, we put forward more ideas about the application direction of this system. </p>
                                     Regular secretion of proteins can be used for periodic administration as a treatment combined with a related diagnostic system. <br>
+
                                     <p>Regular secretion of proteins can be used for periodic administration as a treatment combined with a related diagnostic system. </p>
                                     A biorhythm oscillator can be widely used in signal regulation of gene circuits. (timing signal transmitter) <br>
+
                                     <p>A biorhythm oscillator can be widely used in signal regulation of gene circuits. (timing signal transmitter)  
                                     Conditional expression can be achieved by changing the type of promoter (for example, specific expression of hTERT in tumor). <br>
+
                                     Conditional expression can be achieved by changing the type of promoter (for example, specific expression of hTERT in tumor). </p>
                                 </p>
+
                                 <h1>Result</h1>
 +
                                <p>The strain we studied was incubated in M9 medium and observed in microplate reader (TECAN INFINITE<sup>®</sup> M200 PRO). More details can be found by <a href="https://2018.igem.org/Team:XMU-China/Measurement">click here</a>. Here are the curves we made, which are based on the intensity of bioluminsscence recorded by microplate reader (TECAN INFINITE<sup>®</sup> M200 PRO).</p>
 +
                                <p class="F3"><img src="https://static.igem.org/mediawiki/2018/9/9d/T--XMU-China--measurement-kai-1.png"><p class="Figure_word"><strong>Figure 1.</strong> The bioluminescence at different times in Group A. The negative value is cause by the value of the control group.</p></p>
 +
                                <p class="F3"><img src="https://static.igem.org/mediawiki/2018/9/98/T--XMU-China--measurement-kai-2.png"><p class="Figure_word"><strong>Figure 2.</strong> The bioluminescence at different times in Group B. The negative value is cause by the value of the control group.</p></p>
 +
                                <p>To some extent, the rhythm of the oscillator can be seen from the curve. We did mathematic analysis data by TableCurve 2D<sup>®</sup>. </p>
 +
                                <p class="F3"><img src="https://static.igem.org/mediawiki/2018/c/cf/T--XMU-China--kai3.png"><p class="Figure_word"><strong>Figure 3.</strong> The bioluminescence at different times in Group B. The negative value is cause by the value of the control group.</p></p>
 +
                                <p class="F3"><img src="https://static.igem.org/mediawiki/2018/d/d3/T--XMU-China--kai4.png"><p class="Figure_word"><strong>Figure 4.</strong> The fitting curve of the oscillator in Group B. </p></p>
 +
                                <p>The stability of the oscillator is not good enough, which may be caused by the low robustness of the system we build. The expression quantity and proportion about such six proteins are different in E.coli and cyanobacteria. The expression efficiency of sfYFP we used can also infect the oscillator. Meanwhile, the limited sample size is non-ignorable factor. </p>
 +
                                <p>Based on what we got, we can draw the conclusion that we used three proteins, SasA, CikA and RpaA to connect the KaiC’s oscillators with the output signal. But the big step in utilization of circadian in synthetic biology still needs further work and more efforts to realize it.</p>
 +
 
 
                                 <h1>References</h1>
 
                                 <h1>References</h1>
                                 <p class="reference">[1]Swan J A, Golden S, Liwang A, et al. Structure, function, and mechanism of the core circadian clock in cyanobacteria.[J]. <i>Journal of Biological Chemistry</i>, <strong>2018</strong>, 293(14):5026-5034. <br>
+
                                 <p class="reference">[1]Swan J A, Golden S, Liwang A, <i>et al</i>. Structure, function, and mechanism of the core circadian clock in <i>Cyanobacteria</i>. <i>Journal of Biological Chemistry</i>. <strong>2018</strong>, 293(14): 5026-5034. <br>
                                     [2] Paddock M L, Boyd J S, Adin D M, et al. Active output state of the Synechococcus Kai circadian oscillator.[J]. <i>Proceedings of the National Academy of Sciences of the United States of America</i>, <strong>2013</strong>, 110(40):E3849-E3857. <br>
+
                                     [2] Paddock M L, Boyd J S, Adin D M, <i>et al</i>. Active output state of the Synechococcus Kai circadian oscillator. <i>PNAS</i>. <strong>2013</strong>, 110(40): E3849-E3857. <br>
                                     [3] Taniguchi Y, Katayama M, Ito R, et al. labA: a novel gene required for negative feedback regulation of the cyanobacterial circadian clock protein KaiC[J]. <i>Genes & Development</i>, <strong>2007</strong>, 21(1):60.
+
                                     [3] Taniguchi Y, Katayama M, Ito R, <i>et al</i>. labA: a novel gene required for negative feedback regulation of the cyanobacterial circadian clock protein KaiC. <i>Genes & Development</i>. <strong>2007</strong>, 21(1): 60-70.
 
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Latest revision as of 03:46, 18 October 2018

Team:XMU-China/Improve - 2018.igem.org

Improve

Background

Rhythmic oscillator remains a hot topic in synthetic biology for a long time. The periodic expression of protein can be realized by the rhythm oscillator, so as to realize the regular expression of non-inductor and the biological timer. The most common oscillator is the Repressilator, a circuit of three proteins encoded by three genes that suppress each other. However, there are some complex problems and many unknown factors in Repressilator. Besides, the stability of the constructed cycle time period is weak, which can cause problems for its further design and engineering utilization.

Twelve years ago, Harvard_2006 had tried to rebuild rhythmic oscillator of Cyanobacteria PCC7942 in E. coli. But the transcription factors that link the Kai clock to gene regulation in Cyanobacteria were not well understood. Therefore they tested their clock in E. coli by measuring the amounts of phosphorylated and unphosphorylated KaiC via western blot. More details can be viewed in the link.

However, some proteins related with Kai have been studied for years, such as SasA, RpaA and CikA. We XMU-China aimed to improve what Harvard did twelve years ago and push the utilization of circadian to a new level.

Figure 1. The schematic illustration of KaiABC system.

Abstract

Having considered the situation mentioned above, we turn our attention to the circadian rhythm system within the prokaryotic system. Finally, we choosed the Kai protein system as our project.

KaiABC system is the circadian system in Cyanobacteria. Oscillations are controlled by phosphorylation of the KaiC protein, which is modulated by the KaiA and KaiiB proteins. In 2015, Professor Silver of Harvard University first transplanted the circadian oscillators, KaiABC system and associated protein into noncircadian bacterium Escherichia. coli and successfully constructed a circadian rhythm. Realizing the potential application prosects of KaiABC system, we modified their design: we added RpaA, CikA and SasA into the genetic circuits. We aim to use such three proteins to connect the KaiC's oscillators with an output signal, which is supposed to be a 24-hour rhythmic fluorescence.

Figure 2. Timekeeping, entrainment and output signaling functions are highlighted within the oscillatory cycle of the cyanobacterial clock (imitate Swan J A, et al [1]).

Powered by ATPase activity of its CI domain, KaiC cycles through a series of phosphorylation states, which are interdependent on its quaternary structure. KaiA is bound to the CII domain of KaiC during the day and stimulates phosphorylation. This process is sensitive to the ATP/ADP ratio, which peaks at midday, providing an entrainment cue. At night, levels of oxidized quinones will rise in the cell, which entrains the clock as well. Around this time, KaiC reaches the pS/pT state, and SasA binds to the CI domain to activate RpaA. CI-bounding SasA is eventually competed away by KaiB. Binding of KaiB is slowed by its intrinsically unfavorable equilibrium that sequesters it in inactive states. Accumulation of KaiB in its KaiC-bound form recruits and inactivates KaiA. CikA also interacts with the fold-switched form of KaiB, which dephosphorylates RpaA and then inactivate it. [1]

Design

Figure 3. The gene circle of the Repressilator, which includes three proteins encoded by three genes that rebuild Kai circadian oscillator.

Three key proteins, KaiA, KaiB, and KaiC, comprise the central circadian oscillator . KaiC undergoes ordered autophosphorylation and autodephosphorylation events that signal the time of the day (oscillator timekeeping) for the control of genetic expression patterns. Most important to the circadian control of cellular responses is the ordered phosphorylation of two adjoining amino acid residues (Thr432 and Ser431) in the CII domain of KaiC; they become sequentially phosphorylated and then dephosphorylated during a cycle about 24h. As there are two phosphorylation sites, there are four possible states in every KaiC monomer (ST, SpT, pSpT, and pST. pS and pT represent phosphorylated Ser431 and phosphorylated Thr432, respectively). KaiA facilitates the phosphorylation of Thr432 and then Ser431. Subsequently, KaiB antagonizes KaiA activity, and then KaiC undergoes autodephosphorylation of Thr432 and then Ser431. The association/dissociation of all three Kai proteins controls the period, phase, and amplitude of the circadian oscillator. [2]

Figure 4. The gene circle of the transcription factors that link with the Kai clock.

For transcription, we selected SasA, CikA, and RpaA proteins, as well as pKaiBC, which can respond to the oscillator. Among them, self-phosphorylated KaiC can phosphorylate SasA, which will then transfer phosphate groups to RpaA, thereby activating RpaA as a transcription factor and inducing pKaiBC to transcribe downstream related proteins. But phosphorylated RpaA constantly activates transcription, so we added CikA as a protein to dephosphorylate the RpaA. In this way, the 24-hour oscillations of KaiC phosphorylation are transformed into periodic oscillations at the transcriptional level.

Figure 5. The gene circle of pKaiBC and reporter gene, which can respond to the oscillator.

Finally, we choosed sfYFP BBa_K864100 to present the rhythm, which is supposed to be a 24-hour rhythmic fluorescence. And Bioluminescence assays were performed as described. [3]

Advantage

1. Compared with the traditional repressilators and time-delay pacemakers, the Kai protein system has a longer period, and its stability is optimized due to its natural origin. Furthermore, Kai system can restore the rhythm in the natural state to the maximum extent, which is of more application value.
2. Through the mutation of KaiC phosphorylation site, the circadian cycle length can be controlled. By regulating the nutrition of the culture and the intensity of RBS, we can adjust the amplitude of circadian rhythm curve.
3 . The signal pathway of Cyanobacteria provides design space for other inducible promoters in the gene circuit, which will not interfere with other signal pathways such as the group induction system.

Application

In the literature, we see that other scholars' expectations of the Kai protein system were initially applied to the relief of jet lag. On this basis, we put forward more ideas about the application direction of this system.

Regular secretion of proteins can be used for periodic administration as a treatment combined with a related diagnostic system.

A biorhythm oscillator can be widely used in signal regulation of gene circuits. (timing signal transmitter) Conditional expression can be achieved by changing the type of promoter (for example, specific expression of hTERT in tumor).

Result

The strain we studied was incubated in M9 medium and observed in microplate reader (TECAN INFINITE® M200 PRO). More details can be found by click here. Here are the curves we made, which are based on the intensity of bioluminsscence recorded by microplate reader (TECAN INFINITE® M200 PRO).

Figure 1. The bioluminescence at different times in Group A. The negative value is cause by the value of the control group.

Figure 2. The bioluminescence at different times in Group B. The negative value is cause by the value of the control group.

To some extent, the rhythm of the oscillator can be seen from the curve. We did mathematic analysis data by TableCurve 2D®.

Figure 3. The bioluminescence at different times in Group B. The negative value is cause by the value of the control group.

Figure 4. The fitting curve of the oscillator in Group B.

The stability of the oscillator is not good enough, which may be caused by the low robustness of the system we build. The expression quantity and proportion about such six proteins are different in E.coli and cyanobacteria. The expression efficiency of sfYFP we used can also infect the oscillator. Meanwhile, the limited sample size is non-ignorable factor.

Based on what we got, we can draw the conclusion that we used three proteins, SasA, CikA and RpaA to connect the KaiC’s oscillators with the output signal. But the big step in utilization of circadian in synthetic biology still needs further work and more efforts to realize it.

References

[1]Swan J A, Golden S, Liwang A, et al. Structure, function, and mechanism of the core circadian clock in Cyanobacteria. Journal of Biological Chemistry. 2018, 293(14): 5026-5034.
[2] Paddock M L, Boyd J S, Adin D M, et al. Active output state of the Synechococcus Kai circadian oscillator. PNAS. 2013, 110(40): E3849-E3857.
[3] Taniguchi Y, Katayama M, Ito R, et al. labA: a novel gene required for negative feedback regulation of the cyanobacterial circadian clock protein KaiC. Genes & Development. 2007, 21(1): 60-70.