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Distributed biological computation with multicellular engineered networks

Author

Listed:
  • Sergi Regot

    (Cell signaling unit, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF))

  • Javier Macia

    (ICREA-Complex Systems Laboratory, Universitat Pompeu Fabra (UPF))

  • Núria Conde

    (Cell signaling unit, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF)
    ICREA-Complex Systems Laboratory, Universitat Pompeu Fabra (UPF))

  • Kentaro Furukawa

    (University of Gothenburg, Box 462, 40530 Gothenburg, Sweden)

  • Jimmy Kjellén

    (University of Gothenburg, Box 462, 40530 Gothenburg, Sweden)

  • Tom Peeters

    (Cell signaling unit, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF))

  • Stefan Hohmann

    (University of Gothenburg, Box 462, 40530 Gothenburg, Sweden)

  • Eulàlia de Nadal

    (Cell signaling unit, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF))

  • Francesc Posas

    (Cell signaling unit, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF))

  • Ricard Solé

    (ICREA-Complex Systems Laboratory, Universitat Pompeu Fabra (UPF)
    Santa Fe Institute
    Institut de Biologia Evolutiva, CSIC-UPF, Passeig Maritim de la Barceloneta, 37-49, 08003 Barcelona, Spain)

Abstract

Circuit training for bioengineers For the creativity of synthetic biologists to be unleashed, basic circuits must become truly interchangeable — that is, modular and scalable. Two papers in this week's Nature take steps towards that goal — one from the Escherichia coli camp and the other using yeast. Tamsir et al. harness bacterial 'quorum sensing' in E. coli and Regot et al. exploit yeast pheromone communication to achieve complex computation through communication between individual cells performing simple logic functions. Such extracellular 'chemical wiring' is one promising way to get around the difficulty of insulating different genetic circuits when these operate within a single cell.

Suggested Citation

  • Sergi Regot & Javier Macia & Núria Conde & Kentaro Furukawa & Jimmy Kjellén & Tom Peeters & Stefan Hohmann & Eulàlia de Nadal & Francesc Posas & Ricard Solé, 2011. "Distributed biological computation with multicellular engineered networks," Nature, Nature, vol. 469(7329), pages 207-211, January.
    • Handle: RePEc:nat:nature:v:469:y:2011:i:7329:d:10.1038_nature09679
    DOI: 10.1038/nature09679
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    Citations

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    Cited by:

    1. Javier Macia & Romilde Manzoni & Núria Conde & Arturo Urrios & Eulàlia de Nadal & Ricard Solé & Francesc Posas, 2016. "Implementation of Complex Biological Logic Circuits Using Spatially Distributed Multicellular Consortia," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-24, February.
    2. John P. Marken & Richard M. Murray, 2023. "Addressable and adaptable intercellular communication via DNA messaging," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Weiyue Ji & Handuo Shi & Haoqian Zhang & Rui Sun & Jingyi Xi & Dingqiao Wen & Jingchen Feng & Yiwei Chen & Xiao Qin & Yanrong Ma & Wenhan Luo & Linna Deng & Hanchi Lin & Ruofan Yu & Qi Ouyang, 2013. "A Formalized Design Process for Bacterial Consortia That Perform Logic Computing," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    4. Yuanli Gao & Lei Wang & Baojun Wang, 2023. "Customizing cellular signal processing by synthetic multi-level regulatory circuits," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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