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An electrogenetic toggle switch model

Synthetic biology uses molecular biology to implement genetic circuits that perform computations. These circuits can process inputs and deliver outputs according to predefined rules that are encoded, often entirely, into genetic parts. However, the field has recently begun to focus on using mechanis...

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Detalles Bibliográficos
Autores principales: Grozinger, Lewis, Heidrich, Elizabeth, Goñi‐Moreno, Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948229/
https://www.ncbi.nlm.nih.gov/pubmed/36207818
http://dx.doi.org/10.1111/1751-7915.14153
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author Grozinger, Lewis
Heidrich, Elizabeth
Goñi‐Moreno, Ángel
author_facet Grozinger, Lewis
Heidrich, Elizabeth
Goñi‐Moreno, Ángel
author_sort Grozinger, Lewis
collection PubMed
description Synthetic biology uses molecular biology to implement genetic circuits that perform computations. These circuits can process inputs and deliver outputs according to predefined rules that are encoded, often entirely, into genetic parts. However, the field has recently begun to focus on using mechanisms beyond the realm of genetic parts for engineering biological circuits. We analyse the use of electrogenic processes for circuit design and present a model for a merged genetic and electrogenetic toggle switch operating in a biofilm attached to an electrode. Computational simulations explore conditions under which bistability emerges in order to identify the circuit design principles for best switch performance. The results provide a basis for the rational design and implementation of hybrid devices that can be measured and controlled both genetically and electronically.
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spelling pubmed-99482292023-02-24 An electrogenetic toggle switch model Grozinger, Lewis Heidrich, Elizabeth Goñi‐Moreno, Ángel Microb Biotechnol Special Issue: Microbial Electrochemical Technologies and Synthetic Biology Synthetic biology uses molecular biology to implement genetic circuits that perform computations. These circuits can process inputs and deliver outputs according to predefined rules that are encoded, often entirely, into genetic parts. However, the field has recently begun to focus on using mechanisms beyond the realm of genetic parts for engineering biological circuits. We analyse the use of electrogenic processes for circuit design and present a model for a merged genetic and electrogenetic toggle switch operating in a biofilm attached to an electrode. Computational simulations explore conditions under which bistability emerges in order to identify the circuit design principles for best switch performance. The results provide a basis for the rational design and implementation of hybrid devices that can be measured and controlled both genetically and electronically. John Wiley and Sons Inc. 2022-10-07 /pmc/articles/PMC9948229/ /pubmed/36207818 http://dx.doi.org/10.1111/1751-7915.14153 Text en © 2022 The Authors. Microbial Biotechnology published by Society for Applied Microbiology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Special Issue: Microbial Electrochemical Technologies and Synthetic Biology
Grozinger, Lewis
Heidrich, Elizabeth
Goñi‐Moreno, Ángel
An electrogenetic toggle switch model
title An electrogenetic toggle switch model
title_full An electrogenetic toggle switch model
title_fullStr An electrogenetic toggle switch model
title_full_unstemmed An electrogenetic toggle switch model
title_short An electrogenetic toggle switch model
title_sort electrogenetic toggle switch model
topic Special Issue: Microbial Electrochemical Technologies and Synthetic Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948229/
https://www.ncbi.nlm.nih.gov/pubmed/36207818
http://dx.doi.org/10.1111/1751-7915.14153
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