Harnessing Naturally Occurring Bistable Switches for Their Application in Synthetic Biology

Bistability is a fundamental phenomenon in nature. In biochemical systems, it creates digital, switch-like outputs from the constituent chemical concentrations and activities, and it is often associated with hysteresis in such systems. Here, we first introduce the regulation of bistable switches at different levels in natural life systems, then explain the current pioneering applications of bistable switches in synthetic biology, and finally introduce some design and tuning methodologies and principles that may be helpful for the future application of bistable switches in synthetic biology.

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Publication Details

Journal
SynBio
Published
2024-11-20
DOI
https://doi.org/10.3390/synbio2040023
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Harnessing Naturally Occurring Bistable Switches for Their Application in Synthetic Biology

Huan Ma, Guanyu Wang
SynBio
Gene Regulatory Network Analysis
article

Harnessing Naturally Occurring Bistable Switches for Their Application in Synthetic Biology

Huan Ma, Guanyu Wang
article en

Abstract

Bistability is a fundamental phenomenon in nature. In biochemical systems, it creates digital, switch-like outputs from the constituent chemical concentrations and activities, and it is often associated with hysteresis in such systems. Here, we first introduce the regulation of bistable switches at different levels in natural life systems, then explain the current pioneering applications of bistable switches in synthetic biology, and finally introduce some design and tuning methodologies and principles that may be helpful for the future application of bistable switches in synthetic biology.

SynBioVol. 2(4)
Chinese University of Hong Kong, Shenzhen (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Shenzhen Peacock Plan
Responsible consumption and production
Openalex Percentile: Top 81%
Gene Regulatory Network Analysis
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