Programmable synthetic cell networks regulated by tuneable reaction rates

Adrian Zambrano, Giorgio Fracasso, Mengfei Gao, Martina Ugrinic, Dishi Wang, Dietmar Appelhans, Andrew deMello and T-Y. Dora Tang ()
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Adrian Zambrano: Max Planck Institute of Molecular Cell Biology and Genetics
Giorgio Fracasso: Max Planck Institute of Molecular Cell Biology and Genetics
Mengfei Gao: Max Planck Institute of Molecular Cell Biology and Genetics
Martina Ugrinic: ETH Zurich
Dishi Wang: Leibniz-Institut für Polymerforschung Dresden e.V.
Dietmar Appelhans: Leibniz-Institut für Polymerforschung Dresden e.V.
Andrew deMello: ETH Zurich
T-Y. Dora Tang: Max Planck Institute of Molecular Cell Biology and Genetics

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract 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.

Date: 2022
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DOI: 10.1038/s41467-022-31471-5

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