Difference between revisions of "Team:Fudan China/Description"

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<h1>Description</h1>
 
<h1>Description</h1>
 
<p>Tell us about your project, describe what moves you and why this is something important for your team.</p>
 
 
 
<h5>What should this page contain?</h5>
 
<ul>
 
<li> A clear and concise description of your project.</li>
 
<li>A detailed explanation of why your team chose to work on this particular project.</li>
 
<li>References and sources to document your research.</li>
 
<li>Use illustrations and other visual resources to explain your project.</li>
 
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<h5>Advice on writing your Project Description</h5>
 
  
 
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We encourage you to put up a lot of information and content on your wiki, but we also encourage you to include summaries as much as possible. If you think of the sections in your project description as the sections in a publication, you should try to be consist, accurate and unambiguous in your achievements.  
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Biological memory can be defined as a sustained cellular response to a transient stimulus[1]. Our team are really interested in this topic, and have already read some researches about biological memory with cell or cell population. Some of them are based on transcriptional level, like toggle switch[2], the others are based on DNA level by employing recombinase[3, 4], CRISPR/Cas9[5, 6]. However, former memory devices can only record one or more inducers in one time period, and do not have the ability of real-time monitoring which may evolve more than one time periods.
 
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Judges like to read your wiki and know exactly what you have achieved. This is how you should think about these sections; from the point of view of the judge evaluating you at the end of the year.
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We want to development the concept of cellular memory, and build a memory device with sequential structure using recombinase. We are engineering our E.coli population to record series digital signals from one  inducer, that is the population will have the ability to memorize whether the inducer exists or not at time 1, and to memorize whether the same inducer exists or not at time 2. With this capability, we can real-time monitor the concentration or existence of a certain inducer.To achieve this goal, we are trying to build a genetic circuit with serine recombinase(We now have Bxb1, phiBT1, phiRv1, phiGT1 and phiC31). The design of the circuit is inspired by the work of Ari E. Friedland and Timothy K. Lu[7].
 
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We hope to validate our idea in this summer! Also, we are looking forward to collaborate with other teams!
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<h2>Reference</h2>
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1. Burrill, D.R., and Silver, P.A. (2010) Making Cellular Memories. <i>Cell.</i> 140(1):13-8.<br>
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2. Gardner, T.S., Cantor, C.R., and Collins, J.J. (2000) Construction of a genetic toggle switch in <i>Escherichia coli</i>. <i>Nature.</i> 403(6767):339-42.<br>
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3. Ham, T.S., Lee, S.K., Keasling, J.D., and Arkin, A.P. (2008) Design and construction of a double inversion recombination switch for heritable sequential genetic memory. <i>PLoS One.</i> 3(7):e2815.<br>
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4. Yang, L., Nielsen, A.A., Fernandez-Rodriguez, J., McClune, C.J., Laub, M.T., Lu, T.K., and Voigt, C.A. (2014) Permanent genetic memory with >1-byte capacity. <i>Nat Methods.</i> 11(12):1261-6.<br>
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5. Perli, S.D., Cui, C.H., and Lu, T.K. (2016) Continuous genetic recording with self-targeting CRISPR-Cas in human cells. <i>Science.</i> 353(6304). pii: aag0511.<br>
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6. Shipman, S.L., Nivala, J., Macklis, J.D., and Church, G.M. (2016) Molecular recordings by directed CRISPR spacer acquisition. <i>Science.</i> 353(6298): aaf1175.<br>
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7. Friedland, A.E., Lu, T.K., Wang, X., Shi, D., Church, G. and Collins, J.J. (2009) Synthetic gene networks that count.<i> Science.</i> 324(5931):1199-202.<br>
  
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<h5>References</h5>
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<p>iGEM teams are encouraged to record references you use during the course of your research. They should be posted somewhere on your wiki so that judges and other visitors can see how you thought about your project and what works inspired you.</p>
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<h5>Inspiration</h5>
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<p>See how other teams have described and presented their projects: </p>
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<li><a href="https://2016.igem.org/Team:Imperial_College/Description">2016 Imperial College</a></li>
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<li><a href="https://2016.igem.org/Team:Wageningen_UR/Description">2016 Wageningen UR</a></li>
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<li><a href="https://2014.igem.org/Team:UC_Davis/Project_Overview"> 2014 UC Davis</a></li>
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<li><a href="https://2014.igem.org/Team:SYSU-Software/Overview">2014 SYSU Software</a></li>
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Revision as of 12:43, 30 June 2017

Description

Biological memory can be defined as a sustained cellular response to a transient stimulus[1]. Our team are really interested in this topic, and have already read some researches about biological memory with cell or cell population. Some of them are based on transcriptional level, like toggle switch[2], the others are based on DNA level by employing recombinase[3, 4], CRISPR/Cas9[5, 6]. However, former memory devices can only record one or more inducers in one time period, and do not have the ability of real-time monitoring which may evolve more than one time periods.

We want to development the concept of cellular memory, and build a memory device with sequential structure using recombinase. We are engineering our E.coli population to record series digital signals from one inducer, that is the population will have the ability to memorize whether the inducer exists or not at time 1, and to memorize whether the same inducer exists or not at time 2. With this capability, we can real-time monitor the concentration or existence of a certain inducer.To achieve this goal, we are trying to build a genetic circuit with serine recombinase(We now have Bxb1, phiBT1, phiRv1, phiGT1 and phiC31). The design of the circuit is inspired by the work of Ari E. Friedland and Timothy K. Lu[7].

We hope to validate our idea in this summer! Also, we are looking forward to collaborate with other teams!

Reference

1. Burrill, D.R., and Silver, P.A. (2010) Making Cellular Memories. Cell. 140(1):13-8.
2. Gardner, T.S., Cantor, C.R., and Collins, J.J. (2000) Construction of a genetic toggle switch in Escherichia coli. Nature. 403(6767):339-42.
3. Ham, T.S., Lee, S.K., Keasling, J.D., and Arkin, A.P. (2008) Design and construction of a double inversion recombination switch for heritable sequential genetic memory. PLoS One. 3(7):e2815.
4. Yang, L., Nielsen, A.A., Fernandez-Rodriguez, J., McClune, C.J., Laub, M.T., Lu, T.K., and Voigt, C.A. (2014) Permanent genetic memory with >1-byte capacity. Nat Methods. 11(12):1261-6.
5. Perli, S.D., Cui, C.H., and Lu, T.K. (2016) Continuous genetic recording with self-targeting CRISPR-Cas in human cells. Science. 353(6304). pii: aag0511.
6. Shipman, S.L., Nivala, J., Macklis, J.D., and Church, G.M. (2016) Molecular recordings by directed CRISPR spacer acquisition. Science. 353(6298): aaf1175.
7. Friedland, A.E., Lu, T.K., Wang, X., Shi, D., Church, G. and Collins, J.J. (2009) Synthetic gene networks that count. Science. 324(5931):1199-202.