Difference between revisions of "Team:Fudan China"
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| − | <p | + | <p>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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<p>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, phiTG1 and phiC31). The design of the circuit is inspired by the work of Ari E. Friedland and Timothy K. Lu[7]. | <p>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, phiTG1 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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Revision as of 09:08, 24 September 2017
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, phiTG1 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!
- Burrill, D.R., and Silver, P.A. (2010) Making Cellular Memories. Cell. 140(1):13-8.
- 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.
- 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.
- 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.
- 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.
- Shipman, S.L., Nivala, J., Macklis, J.D., and Church, G.M. (2016) Molecular recordings by directed CRISPR spacer acquisition. Science. 353(6298): aaf1175.
- 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.
This animation will show you how our system works when it meets the Target Signal below.
