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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> | ||
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<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> | ||
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<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 | + | <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 | + | <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 | + | <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/ | + | <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"> | + | <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> | ||
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− | <li><a href="https://2018.igem.org/Team:XMU-China/Model"> | + | <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> | ||
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<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> | ||
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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> | ||
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<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> | ||
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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> | ||
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<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/Model"> | + | <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> | ||
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<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 | + | <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 | + | <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 | + | <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/ | + | <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"> | + | <li><a href="https://2018.igem.org/Team:XMU-China/Software">Software</a></li> |
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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> | ||
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<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> | ||
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<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> | ||
− | + | <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> | ||
− | + | <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 | + | <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> |
− | + | <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"> | + | <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 | + | <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 class="reference">1. | <p class="reference">1. | ||
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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 | + | 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. </p> | <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> | ||
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<p>A biorhythm oscillator can be widely used in signal regulation of gene circuits. (timing signal transmitter) | <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). </p> | Conditional expression can be achieved by changing the type of promoter (for example, specific expression of hTERT in tumor). </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, <i>et al</i>. Structure, function, and mechanism of the core circadian clock in | + | <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, <i>et al</i>. Active output state of the Synechococcus Kai circadian oscillator | + | [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, <i>et al</i>. labA: a novel gene required for negative feedback regulation of the cyanobacterial circadian clock protein KaiC | + | [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. |
</p> | </p> | ||
</section> | </section> | ||
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Latest revision as of 03:46, 18 October 2018
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.