Authors
David J Menn, Ri-Qi Su, Xiao Wang
Publication date
2017
Source
Quantitative Biology
Pages
1-12
Publisher
Higher Education Press
Description
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.
Total citations
2018201913
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