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Quantifying resource competition and its effects in the TX-TL system

Gyorgy, Andras and Murray, Richard M. (2016) Quantifying resource competition and its effects in the TX-TL system. In: IEEE 55th Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 3363-3368. ISBN 978-1-5090-1837-6.

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Without accounting for the limited availability of shared cellular resources, the standard model of gene expression fails to reliably predict experimental data obtained in vitro. To overcome this limitation, we develop a dynamical model of gene expression explicitly modeling competition for scarce resources. In addition to accurately describing the experimental data, this model only depends on a handful of easily identifiable parameters with clear physical interpretation. Based on this model, we then characterize the combinations of protein concentrations that are simultaneously realizable with shared resources. As application examples, we demonstrate how the results can be used to explain similarities/differences among different in vitro extracts, furthermore, we illustrate that accounting for resource usage is essential in circuit design considering the toggle switch.

Item Type:Book Section
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URLURL TypeDescription DOIArticle
Murray, Richard M.0000-0002-5785-7481
Additional Information:© 2016 IEEE. The authors gratefully acknowledge the helpful contribution of Dan Siegal, Zachary S. Sun, Clarmyra A. Hayes, Enoch Yeung and Domitilla Del Vecchio.
Record Number:CaltechAUTHORS:20170111-150445053
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Official Citation:A. Gyorgy and R. M. Murray, "Quantifying resource competition and its effects in the TX-TL system," 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 3363-3368. doi: 10.1109/CDC.2016.7798775 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73447
Deposited By: Tony Diaz
Deposited On:20 Jan 2017 07:03
Last Modified:03 Oct 2019 16:28

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