Quantifying Resource Competition and its Effects in the TX-TL System

Title	Quantifying Resource Competition and its Effects in the TX-TL System
Authors	Andras Gyorgy and Richard M. Murray
Source	2016 Conference on Decision and Control (CDC)
Abstract	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 parame- ters 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.
Type	Conference paper
URL	http://www.cds.caltech.edu/~murray/preprints/gm16-cdc.pdf
DOI
Tag	gm16-cdc
ID	2016k
Funding	DARPA LF
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