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Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’

Author

Listed:
  • Alvin Tamsir

    (University of California)

  • Jeffrey J. Tabor

    (School of Pharmacy, University of California)

  • Christopher A. Voigt

    (School of Pharmacy, University of California)

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

  • Alvin Tamsir & Jeffrey J. Tabor & Christopher A. Voigt, 2011. "Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’," Nature, Nature, vol. 469(7329), pages 212-215, January.
    • Handle: RePEc:nat:nature:v:469:y:2011:i:7329:d:10.1038_nature09565
    DOI: 10.1038/nature09565
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    Cited by:

    1. Joaquín Gutiérrez Mena & Sant Kumar & Mustafa Khammash, 2022. "Dynamic cybergenetic control of bacterial co-culture composition via optogenetic feedback," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    2. 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.
    3. Samanthe M Lyons & Wenlong Xu & June Medford & Ashok Prasad, 2014. "Loads Bias Genetic and Signaling Switches in Synthetic and Natural Systems," PLOS Computational Biology, Public Library of Science, vol. 10(3), pages 1-16, March.
    4. Brian D. Huang & Thomas M. Groseclose & Corey J. Wilson, 2022. "Transcriptional programming in a Bacteroides consortium," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Navneet Rai & Rajat Anand & Krishna Ramkumar & Varun Sreenivasan & Sugat Dabholkar & K V Venkatesh & Mukund Thattai, 2012. "Prediction by Promoter Logic in Bacterial Quorum Sensing," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-14, January.
    6. Alice Boo & Tyler Toth & Qiguo Yu & Alexander Pfotenhauer & Brandon D. Fields & Scott C. Lenaghan & C. Neal Stewart & Christopher A. Voigt, 2024. "Synthetic microbe-to-plant communication channels," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    7. Singh, Vijai & Chaudhary, Dharmendra Kumar & Mani, Indra & Dhar, Pawan Kumar, 2016. "Recent advances and challenges of the use of cyanobacteria towards the production of biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1-10.
    8. 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.
    9. Luna Rizik & Loai Danial & Mouna Habib & Ron Weiss & Ramez Daniel, 2022. "Synthetic neuromorphic computing in living cells," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    10. Tai-Yin Chiu & Hui-Ju K Chiang & Ruei-Yang Huang & Jie-Hong R Jiang & François Fages, 2015. "Synthesizing Configurable Biochemical Implementation of Linear Systems from Their Transfer Function Specifications," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-27, September.

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