Distributed biological computation with multicellular engineered networks

Sergi Regot, Javier Macia, Núria Conde, Kentaro Furukawa, Jimmy Kjellén, Tom Peeters, Stefan Hohmann, Eulàlia de Nadal, Francesc Posas () and Ricard Solé ()
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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)
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)

Nature, 2011, vol. 469, issue 7329, 207-211

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.

Date: 2011
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DOI: 10.1038/nature09679

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