Engineering principles of synthetic biochemical oscillators with negative cyclic feedback

Yutaka Hori, Richard M. Murray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper analyzes oscillatory dynamics of a class of cyclic gene regulatory networks and provides engineering principles for the synthesis of biochemical oscillators. We first review previous results that the oscillatory parameter regime of the gene regulatory circuits can be rigorously explored by the local stability analysis of a unique equilibrium. The local stability analysis then leads to the first engineering principle that the circuit components, or genes, should be chosen so that the kinetic profiles of the circuit components are similar to each other. Using a homogeneous oscillator model, we further discuss design strategies to reduce the cell-to-cell variability of the oscillators that is caused by intrinsic noise.

Original languageEnglish
Title of host publication54rd IEEE Conference on Decision and Control,CDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages584-589
Number of pages6
ISBN (Electronic)9781479978861
DOIs
Publication statusPublished - 2015 Feb 8
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: 2015 Dec 152015 Dec 18

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)0743-1546

Other

Other54th IEEE Conference on Decision and Control, CDC 2015
CountryJapan
CityOsaka
Period15/12/1515/12/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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  • Cite this

    Hori, Y., & Murray, R. M. (2015). Engineering principles of synthetic biochemical oscillators with negative cyclic feedback. In 54rd IEEE Conference on Decision and Control,CDC 2015 (pp. 584-589). [7402292] (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7402292