Work

Control of synthetic gene networks and its applications

Year: 2017

Type: article

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.

Source: Quantitative Biology

DOI: 10.1007/s40484-017-0106-5

Authors: David J Menn, Ri‐Qi Su, Xiao Wang

Institution: Arizona State University

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: diamond

Funders: Arizona State University, National Institutes of Health, National Institute of General Medical Sciences

Award: Forward engineering to understand gene regulatory network topologies