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Engineering transient dynamics of artificial cells by stochastic distribution of enzymes

Author

Listed:
  • Shidong Song

    (Eindhoven University of Technology)

  • Alexander F. Mason

    (Eindhoven University of Technology)

  • Richard A. J. Post

    (Eindhoven University of Technology)

  • Marco De Corato

    (The Barcelona Institute of Science and Technology
    University of Zaragoza)

  • Rafael Mestre

    (The Barcelona Institute of Science and Technology)

  • N. Amy Yewdall

    (Eindhoven University of Technology)

  • Shoupeng Cao

    (Eindhoven University of Technology)

  • Remco W. Hofstad

    (Eindhoven University of Technology)

  • Samuel Sanchez

    (The Barcelona Institute of Science and Technology
    Pg. Lluís Companys 23)

  • Loai K. E. A. Abdelmohsen

    (Eindhoven University of Technology)

  • Jan C. M. Hest

    (Eindhoven University of Technology)

Abstract

Random fluctuations are inherent to all complex molecular systems. Although nature has evolved mechanisms to control stochastic events to achieve the desired biological output, reproducing this in synthetic systems represents a significant challenge. Here we present an artificial platform that enables us to exploit stochasticity to direct motile behavior. We found that enzymes, when confined to the fluidic polymer membrane of a core-shell coacervate, were distributed stochastically in time and space. This resulted in a transient, asymmetric configuration of propulsive units, which imparted motility to such coacervates in presence of substrate. This mechanism was confirmed by stochastic modelling and simulations in silico. Furthermore, we showed that a deeper understanding of the mechanism of stochasticity could be utilized to modulate the motion output. Conceptually, this work represents a leap in design philosophy in the construction of synthetic systems with life-like behaviors.

Suggested Citation

  • Shidong Song & Alexander F. Mason & Richard A. J. Post & Marco De Corato & Rafael Mestre & N. Amy Yewdall & Shoupeng Cao & Remco W. Hofstad & Samuel Sanchez & Loai K. E. A. Abdelmohsen & Jan C. M. Hes, 2021. "Engineering transient dynamics of artificial cells by stochastic distribution of enzymes," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27229-0
    DOI: 10.1038/s41467-021-27229-0
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    References listed on IDEAS

    as
    1. Mijatović, Aleksandar & Mramor, Veno & Uribe Bravo, Gerónimo, 2020. "A note on the exact simulation of spherical Brownian motion," Statistics & Probability Letters, Elsevier, vol. 165(C).
    2. Dhanya Babu & Robert J. H. Scanes & Rémi Plamont & Alexander Ryabchun & Federico Lancia & Tibor Kudernac & Stephen P. Fletcher & Nathalie Katsonis, 2021. "Acceleration of lipid reproduction by emergence of microscopic motion," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
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    Cited by:

    1. Mireia Casanovas Montasell & Pere Monge & Sheiliza Carmali & Livia Mesquita Dias Loiola & Dante Guldbrandsen Andersen & Kaja Borup Løvschall & Ane Bretschneider Søgaard & Maria Merrild Kristensen & Je, 2022. "Chemical zymogens for the protein cysteinome," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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