DNA-based communication in populations of synthetic protocells View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Alex Joesaar, Shuo Yang, Bas Bögels, Ardjan van der Linden, Pascal Pieters, B. V. V. S. Pavan Kumar, Neil Dalchau, Andrew Phillips, Stephen Mann, Tom F. A. de Greef

ABSTRACT

Developing molecular communication platforms based on orthogonal communication channels is a crucial step towards engineering artificial multicellular systems. Here, we present a general and scalable platform entitled 'biomolecular implementation of protocellular communication' (BIO-PC) to engineer distributed multichannel molecular communication between populations of non-lipid semipermeable microcapsules. Our method leverages the modularity and scalability of enzyme-free DNA strand-displacement circuits to develop protocellular consortia that can sense, process and respond to DNA-based messages. We engineer a rich variety of biochemical communication devices capable of cascaded amplification, bidirectional communication and distributed computational operations. Encapsulating DNA strand-displacement circuits further allows their use in concentrated serum where non-compartmentalized DNA circuits cannot operate. BIO-PC enables reliable execution of distributed DNA-based molecular programs in biologically relevant environments and opens new directions in DNA computing and minimal cell technology. More... »

PAGES

1-10

References to SciGraph publications

  • 2017-09. A spatially localized architecture for fast and modular DNA computing in NATURE NANOTECHNOLOGY
  • 2017-05. Microscopic agents programmed by DNA circuits in NATURE NANOTECHNOLOGY
  • 2011-07. Neural network computation with DNA strand displacement cascades in NATURE
  • 2013-12. Interfacial assembly of protein–polymer nano-conjugates into stimulus-responsive biomimetic protocells in NATURE COMMUNICATIONS
  • 2004-04. Programmed population control by cell–cell communication and regulated killing in NATURE
  • 2010-01. A synchronized quorum of genetic clocks in NATURE
  • 2015-09. DNA nanotechnology from the test tube to the cell in NATURE NANOTECHNOLOGY
  • 2011-01-13. Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’ in NATURE
  • 2017-02. Predatory behaviour in synthetic protocell communities in NATURE CHEMISTRY
  • 2016-09. Investigating the dynamics of surface-immobilized DNA nanomachines in SCIENTIFIC REPORTS
  • 2012-12. Engineered cell-cell communication via DNA messaging in JOURNAL OF BIOLOGICAL ENGINEERING
  • 2005-04. A synthetic multicellular system for programmed pattern formation in NATURE
  • 2018-07. Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks in NATURE
  • 2000-08. A DNA-fuelled molecular machine made of DNA in NATURE
  • 2017-05. Engineering genetic circuit interactions within and between synthetic minimal cells in NATURE CHEMISTRY
  • 2011-02. Dynamic DNA nanotechnology using strand-displacement reactions in NATURE CHEMISTRY
  • 2018-07. A molecular multi-gene classifier for disease diagnostics in NATURE CHEMISTRY
  • 2012-10. Synthetic two-way communication between mammalian cells in NATURE BIOTECHNOLOGY
  • 2014. Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks in DNA COMPUTING AND MOLECULAR PROGRAMMING
  • 2011-01-13. Distributed biological computation with multicellular engineered networks in NATURE
  • 2000-11. Feedback control of intercellular signalling in development in NATURE
  • 2013-10. Programmable chemical controllers made from DNA in NATURE NANOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41565-019-0399-9

    DOI

    http://dx.doi.org/10.1038/s41565-019-0399-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112510593

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30833694


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