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A synthetic multicellular system for programmed pattern formation

Author

Listed:
  • Subhayu Basu

    (Princeton University)

  • Yoram Gerchman

    (Princeton University)

  • Cynthia H. Collins

    (California Institute of Technology 210-41)

  • Frances H. Arnold

    (California Institute of Technology 210-41)

  • Ron Weiss

    (Princeton University
    Princeton University)

Abstract

Pattern formation is in the genes Multicellular organisms, and some single-celled organisms, are capable of producing predetermined patterns. Patterning is key to developmental processes, and is also relevant to tissue engineering and biomaterials design. Basu et al. describe a new synthetic multicellular system in which cells are genetically programmed to form patterns on a surface based on cell–cell communication. Genetic circuits were constructed from well defined simple parts in bacteria that integrate transcriptional regulation with cell–cell signalling elements. These circuits transform a lawn of undifferentiated cells into two-dimensional patterns that resemble a bullseye, ellipse, heart and clover.

Suggested Citation

  • Subhayu Basu & Yoram Gerchman & Cynthia H. Collins & Frances H. Arnold & Ron Weiss, 2005. "A synthetic multicellular system for programmed pattern formation," Nature, Nature, vol. 434(7037), pages 1130-1134, April.
    • Handle: RePEc:nat:nature:v:434:y:2005:i:7037:d:10.1038_nature03461
    DOI: 10.1038/nature03461
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    Citations

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    Cited by:

    1. Oleg Kanakov & Roman Kotelnikov & Ahmed Alsaedi & Lev Tsimring & Ramón Huerta & Alexey Zaikin & Mikhail Ivanchenko, 2015. "Multi-Input Distributed Classifiers for Synthetic Genetic Circuits," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    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. Zomorrodi, Ali R. & Maranas, Costas D., 2014. "Coarse-grained optimization-driven design and piecewise linear modeling of synthetic genetic circuits," European Journal of Operational Research, Elsevier, vol. 237(2), pages 665-676.
    4. 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.
    5. Betz, Ulrich A.K. & Arora, Loukik & Assal, Reem A. & Azevedo, Hatylas & Baldwin, Jeremy & Becker, Michael S. & Bostock, Stefan & Cheng, Vinton & Egle, Tobias & Ferrari, Nicola & Schneider-Futschik, El, 2023. "Game changers in science and technology - now and beyond," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    6. Kazufumi Hosoda & Shingo Suzuki & Yoshinori Yamauchi & Yasunori Shiroguchi & Akiko Kashiwagi & Naoaki Ono & Kotaro Mori & Tetsuya Yomo, 2011. "Cooperative Adaptation to Establishment of a Synthetic Bacterial Mutualism," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-9, February.
    7. Guillermo Rodrigo & Santiago F Elena, 2011. "Structural Discrimination of Robustness in Transcriptional Feedforward Loops for Pattern Formation," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-7, February.
    8. Miles Miller & Marc Hafner & Eduardo Sontag & Noah Davidsohn & Sairam Subramanian & Priscilla E M Purnick & Douglas Lauffenburger & Ron Weiss, 2012. "Modular Design of Artificial Tissue Homeostasis: Robust Control through Synthetic Cellular Heterogeneity," PLOS Computational Biology, Public Library of Science, vol. 8(7), pages 1-18, July.

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