Systems and synthetic biology approaches in understanding biological oscillators

Zhengda Li, Qiong Yang

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Quant. Biol. ›› 2018, Vol. 6 ›› Issue (1) : 1-14. DOI: 10.1007/s40484-017-0120-7
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Systems and synthetic biology approaches in understanding biological oscillators

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Abstract

Background: Self-sustained oscillations are a ubiquitous and vital phenomenon in living systems. From primitive single-cellular bacteria to the most sophisticated organisms, periodicities have been observed in a broad spectrum of biological processes such as neuron firing, heart beats, cell cycles, circadian rhythms, etc. Defects in these oscillators can cause diseases from insomnia to cancer. Elucidating their fundamental mechanisms is of great significance to diseases, and yet challenging, due to the complexity and diversity of these oscillators.

Results: Approaches in quantitative systems biology and synthetic biology have been most effective by simplifying the systems to contain only the most essential regulators. Here, we will review major progress that has been made in understanding biological oscillators using these approaches. The quantitative systems biology approach allows for identification of the essential components of an oscillator in an endogenous system. The synthetic biology approach makes use of the knowledge to design the simplest, de novo oscillators in both live cells and cell-free systems. These synthetic oscillators are tractable to further detailed analysis and manipulations.

Conclusion: With the recent development of biological and computational tools, both approaches have made significant achievements.

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Keywords

biological oscillators / synthetic oscillators / circuit design principles

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Zhengda Li, Qiong Yang. Systems and synthetic biology approaches in understanding biological oscillators. Quant. Biol., 2018, 6(1): 1‒14 https://doi.org/10.1007/s40484-017-0120-7

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ACKNOWLEDGEMENTS

This work was supported by the National Science Foundation (Early CAREER Grant #1553031) and the National Institutes of Health (MIRA #GM119688).

COMPLIANCE WITH ETHICAL GUIDELINES

The authors Zhengda Li and Qiong Yang declare that they have no conflict of interests.
This article is a review article and does not contain any studies with human or animal subjects performed by any of the authors.

RIGHTS & PERMISSIONS

2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
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