Engineering of a genetic circuit with regulatable multistability.

Integr Biol (Camb)

Centre for Quantitative Biology and Peking-Tsinghua Joint Centre for Life Sciences, Peking University, Beijing 100871, China. and The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing 100871, China.

Published: August 2018

AI Article Synopsis

  • Synthetic biologists aim to create genetic systems to better understand living organisms, focusing on the development of circuits that exhibit bistability.
  • The engineers successfully designed a genetic toggle switch and a self-activation circuit, which were then combined to produce a circuit with tristability, allowing bacterial cells to differentiate into three distinct gene expression states.
  • This innovative circuit's multistability can be adjusted with external inputs, providing a new framework for studying biological multistability in both synthetic and natural contexts.

Article Abstract

Synthetic biologists are dedicated to designing genetic systems from the bottom up to understand how living systems work. To date, a variety of genetic circuits exhibiting bistability have been designed, greatly expanding our understanding of the biological multistability in natural systems. However, the study of more complex forms of biological multistability using synthetic methods is still limited. In this report, we describe the engineering of a genetic circuit with regulatable multistability. A novel genetic toggle switch exhibiting inducible bistability and a self-activation circuit were individually designed and characterized, after which they were assembled to create a circuit that presents tristability. In bacteria, this synthetic circuit enables cells to differentiate spontaneously into three different states of gene expression. Moreover, the multistability of the circuit can be modulated by external inputs. This work provides a synthetic biology framework for the study of biological multistability and may help to understand natural multistability phenomena.

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Source
http://dx.doi.org/10.1039/c8ib00030aDOI Listing

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