Control of synthetic gene networks and its applications

doi:10.1007/s40484-017-0106-5

Quant. Biol.

2017, Vol. 5

Issue (2) : 124-135 https://doi.org/10.1007/s40484-017-0106-5

REVIEW

Control of synthetic gene networks and its applications

David J Menn, Ri-Qi Su, Xiao Wang(

)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA

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Abstract

Background: One of the underlying assumptions of synthetic biology is that biological processes can be engineered in a controllable way.

Results: Here we discuss this assumption as it relates to synthetic gene regulatory networks (GRNs). We first cover the theoretical basis of GRN control, then address three major areas in which control has been leveraged: engineering and analysis of network stability, temporal dynamics, and spatial aspects.

Conclusion: These areas lay a strong foundation for further expansion of control in synthetic GRNs and pave the way for future work synthesizing these disparate concepts.

Author Summary Controlling the behavior of gene networks is the basis of much of synthetic biology. Here we review major theoretical concepts underpinning gene regulatory network (GRN) control and how these concepts are implemented to organize biological parts into functional and predictable synthetic GRNs. We present several contexts in which theory and practice have been synthesized in constructed GRNs to generate biologically relevant behaviors: multistability, designed temporal dynamics, and spatial patterning. These proof-of-concept works set researchers up to engineer more complex and controllable circuits in the future.

Keywords synthetic biology gene regulatory networks modeling GRN control stochasticity

Corresponding Author(s): Xiao Wang

Online First Date: 25 May 2017 Issue Date: 07 June 2017

Cite this article:

David J Menn,Ri-Qi Su,Xiao Wang. Control of synthetic gene networks and its applications[J]. Quant. Biol., 2017, 5(2): 124-135.

URL:

https://academic.hep.com.cn/qb/EN/10.1007/s40484-017-0106-5
https://academic.hep.com.cn/qb/EN/Y2017/V5/I2/124

Fig.1 Mathematical frameworks for GRN Control.

Fig.2 GRN multistable behavior.

Fig.3 GRN temporal behavior.

Fig.4 GRN spatial behavior.

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