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Complex cellular logic computation using ribocomputing devices

Author

Listed:
  • Alexander A. Green

    (Wyss Institute for Biologically Inspired Engineering, Harvard University
    Biodesign Center for Molecular Design and Biomimetics, Biodesign Institute and School of Molecular Sciences, Arizona State University)

  • Jongmin Kim

    (Wyss Institute for Biologically Inspired Engineering, Harvard University
    Harvard Medical School)

  • Duo Ma

    (Biodesign Center for Molecular Design and Biomimetics, Biodesign Institute and School of Molecular Sciences, Arizona State University)

  • Pamela A. Silver

    (Wyss Institute for Biologically Inspired Engineering, Harvard University
    Harvard Medical School)

  • James J. Collins

    (Wyss Institute for Biologically Inspired Engineering, Harvard University
    Institute for Medical Engineering and Science, and Synthetic Biology Center, Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

  • Peng Yin

    (Wyss Institute for Biologically Inspired Engineering, Harvard University
    Harvard Medical School)

Abstract

De-novo-designed RNA molecules are used to construct cellular computing devices that can implement complex logic functions.

Suggested Citation

  • Alexander A. Green & Jongmin Kim & Duo Ma & Pamela A. Silver & James J. Collins & Peng Yin, 2017. "Complex cellular logic computation using ribocomputing devices," Nature, Nature, vol. 548(7665), pages 117-121, August.
    • Handle: RePEc:nat:nature:v:548:y:2017:i:7665:d:10.1038_nature23271
    DOI: 10.1038/nature23271
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    Cited by:

    1. Naoki Hayashi & Yong Lai & Jay Fuerte-Stone & Mark Mimee & Timothy K. Lu, 2024. "Cas9-assisted biological containment of a genetically engineered human commensal bacterium and genetic elements," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Baiyang Liu & Christian Cuba Samaniego & Matthew R. Bennett & Elisa Franco & James Chappell, 2023. "A portable regulatory RNA array design enables tunable and complex regulation across diverse bacteria," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Linlin Tang & Zhijin Tian & Jin Cheng & Yijing Zhang & Yongxiu Song & Yan Liu & Jinghao Wang & Pengfei Zhang & Yonggang Ke & Friedrich C. Simmel & Jie Song, 2023. "Circular single-stranded DNA as switchable vector for gene expression in mammalian cells," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. 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.
    5. 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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