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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9259615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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