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Programmable synthetic cell networks regulated by tuneable reaction rates

Coupled compartmentalised information processing and communication via molecular diffusion underpin network based population dynamics as observed in biological systems. Understanding how both compartmentalisation and communication can regulate information processes is key to rational design and cont...

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Autores principales: Zambrano, Adrian, Fracasso, Giorgio, Gao, Mengfei, Ugrinic, Martina, Wang, Dishi, Appelhans, Dietmar, deMello, Andrew, Tang, T-Y. Dora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259615/
https://www.ncbi.nlm.nih.gov/pubmed/35794089
http://dx.doi.org/10.1038/s41467-022-31471-5
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author Zambrano, Adrian
Fracasso, Giorgio
Gao, Mengfei
Ugrinic, Martina
Wang, Dishi
Appelhans, Dietmar
deMello, Andrew
Tang, T-Y. Dora
author_facet Zambrano, Adrian
Fracasso, Giorgio
Gao, Mengfei
Ugrinic, Martina
Wang, Dishi
Appelhans, Dietmar
deMello, Andrew
Tang, T-Y. Dora
author_sort Zambrano, Adrian
collection PubMed
description Coupled compartmentalised information processing and communication via molecular diffusion underpin network based population dynamics as observed in biological systems. Understanding how both compartmentalisation and communication can regulate information processes is key to rational design and control of compartmentalised reaction networks. Here, we integrate PEN DNA reactions into semi-permeable proteinosomes and characterise the effect of compartmentalisation on autocatalytic PEN DNA reactions. We observe unique behaviours in the compartmentalised systems which are not accessible under bulk conditions; for example, rates of reaction increase by an order of magnitude and reaction kinetics are more readily tuneable by enzyme concentrations in proteinosomes compared to buffer solution. We exploit these properties to regulate the reaction kinetics in two node compartmentalised reaction networks comprised of linear and autocatalytic reactions which we establish by bottom-up synthetic biology approaches.
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spelling pubmed-92596152022-07-08 Programmable synthetic cell networks regulated by tuneable reaction rates Zambrano, Adrian Fracasso, Giorgio Gao, Mengfei Ugrinic, Martina Wang, Dishi Appelhans, Dietmar deMello, Andrew Tang, T-Y. Dora Nat Commun Article Coupled compartmentalised information processing and communication via molecular diffusion underpin network based population dynamics as observed in biological systems. Understanding how both compartmentalisation and communication can regulate information processes is key to rational design and control of compartmentalised reaction networks. Here, we integrate PEN DNA reactions into semi-permeable proteinosomes and characterise the effect of compartmentalisation on autocatalytic PEN DNA reactions. We observe unique behaviours in the compartmentalised systems which are not accessible under bulk conditions; for example, rates of reaction increase by an order of magnitude and reaction kinetics are more readily tuneable by enzyme concentrations in proteinosomes compared to buffer solution. We exploit these properties to regulate the reaction kinetics in two node compartmentalised reaction networks comprised of linear and autocatalytic reactions which we establish by bottom-up synthetic biology approaches. Nature Publishing Group UK 2022-07-06 /pmc/articles/PMC9259615/ /pubmed/35794089 http://dx.doi.org/10.1038/s41467-022-31471-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zambrano, Adrian
Fracasso, Giorgio
Gao, Mengfei
Ugrinic, Martina
Wang, Dishi
Appelhans, Dietmar
deMello, Andrew
Tang, T-Y. Dora
Programmable synthetic cell networks regulated by tuneable reaction rates
title Programmable synthetic cell networks regulated by tuneable reaction rates
title_full Programmable synthetic cell networks regulated by tuneable reaction rates
title_fullStr Programmable synthetic cell networks regulated by tuneable reaction rates
title_full_unstemmed Programmable synthetic cell networks regulated by tuneable reaction rates
title_short Programmable synthetic cell networks regulated by tuneable reaction rates
title_sort programmable synthetic cell networks regulated by tuneable reaction rates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259615/
https://www.ncbi.nlm.nih.gov/pubmed/35794089
http://dx.doi.org/10.1038/s41467-022-31471-5
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