Control of synthetic gene networks and its applications

David J. Menn, Ri Qi Su, Xiao Wang

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)124-135
Number of pages12
JournalQuantitative Biology
Issue number2
StatePublished - Jun 1 2017


  • GRN control
  • gene regulatory networks
  • modeling
  • stochasticity
  • synthetic biology

ASJC Scopus subject areas

  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science Applications
  • Applied Mathematics


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