Imperial College London
Alternate

Professor Mark Isalan - Deputy Head of Department

Faculty of Natural Sciences, Department of Life Sciences

Professor of Synthetic Biology
 
 
 
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Contact

 

+44 (0)20 7594 6482m.isalan

 
 
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Location

 

509Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tica:2020:10.1049/enb.2020.0009,
author = {Tica, J and Zhu, T and Isalan, M},
doi = {10.1049/enb.2020.0009},
journal = {Engineering Biology},
pages = {25--31},
title = {Dynamical model fitting to a synthetic positive feedback circuit in E. coli},
url = {http://dx.doi.org/10.1049/enb.2020.0009},
volume = {4},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Applying the principles of engineering to Synthetic Biology relies on the development of robust and modular genetic components, as well as underlying quantitative dynamical models that closely predict their behaviour. This study looks at a simple positive feedback circuit built by placing filamentous phage secretin pIV under a phage shock promoter. A single-equation ordinary differential equation model is developed to closely replicate the behaviour of the circuit, and its response to inhibition by TetR. A stepwise approach is employed to fit the model's parameters to time-series data for the circuit. This approach allows the dissection of the role of different parameters and leads to the identification of dependencies and redundancies between parameters. The developed genetic circuit and associated model may be used as a building block for larger circuits with more complex dynamics, which require tight quantitative control or tuning.
AU  - Tica,J
AU  - Zhu,T
AU  - Isalan,M
DO  - 10.1049/enb.2020.0009
EP  - 31
PY  - 2020///
SN  - 2398-6182
SP  - 25
TI  - Dynamical model fitting to a synthetic positive feedback circuit in E. coli
T2  - Engineering Biology
UR  - http://dx.doi.org/10.1049/enb.2020.0009
UR  - http://hdl.handle.net/10044/1/80670
VL  - 4
ER  -
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