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Programmable synthetic cell networks regulated by tuneable reaction rates

Author

Listed:
  • Adrian Zambrano

    (Max Planck Institute of Molecular Cell Biology and Genetics)

  • Giorgio Fracasso

    (Max Planck Institute of Molecular Cell Biology and Genetics
    Technische Universität Dresden)

  • Mengfei Gao

    (Max Planck Institute of Molecular Cell Biology and Genetics
    Technische Universität Dresden)

  • Martina Ugrinic

    (ETH Zurich)

  • Dishi Wang

    (Leibniz-Institut für Polymerforschung Dresden e.V.
    Technische Universität Dresden)

  • 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
    Technische Universität Dresden)

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.

Suggested Citation

  • Adrian Zambrano & Giorgio Fracasso & Mengfei Gao & Martina Ugrinic & Dishi Wang & Dietmar Appelhans & Andrew deMello & T-Y. Dora Tang, 2022. "Programmable synthetic cell networks regulated by tuneable reaction rates," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31471-5
    DOI: 10.1038/s41467-022-31471-5
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    References listed on IDEAS

    as
    1. Kevin Montagne & Guillaume Gines & Teruo Fujii & Yannick Rondelez, 2016. "Boosting functionality of synthetic DNA circuits with tailored deactivation," Nature Communications, Nature, vol. 7(1), pages 1-12, December.
    2. Xin Huang & Mei Li & David C. Green & David S. Williams & Avinash J. Patil & Stephen Mann, 2013. "Interfacial assembly of protein–polymer nano-conjugates into stimulus-responsive biomimetic protocells," Nature Communications, Nature, vol. 4(1), pages 1-9, October.
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