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Synthetic RNA-based logic computation in mammalian cells

Author

Listed:
  • Satoshi Matsuura

    (Kyoto University
    Kyoto University)

  • Hiroki Ono

    (Kyoto University
    Kyoto University)

  • Shunsuke Kawasaki

    (Kyoto University)

  • Yi Kuang

    (Kyoto University
    Hong Kong University of Science and Technology, Clear Water Bay)

  • Yoshihiko Fujita

    (Kyoto University)

  • Hirohide Saito

    (Kyoto University)

Abstract

Synthetic biological circuits are designed to regulate gene expressions to control cell function. To date, these circuits often use DNA-delivery methods, which may lead to random genomic integration. To lower this risk, an all RNA system, in which the circuit and delivery method are constituted of RNA components, is preferred. However, the construction of complexed circuits using RNA-delivered devices in living cells has remained a challenge. Here we show synthetic mRNA-delivered circuits with RNA-binding proteins for logic computation in mammalian cells. We create a set of logic circuits (AND, OR, NAND, NOR, and XOR gates) using microRNA (miRNA)- and protein-responsive mRNAs as decision-making controllers that are used to express transgenes in response to intracellular inputs. Importantly, we demonstrate that an apoptosis-regulatory AND gate that senses two miRNAs can selectively eliminate target cells. Thus, our synthetic RNA circuits with logic operation could provide a powerful tool for future therapeutic applications.

Suggested Citation

  • Satoshi Matsuura & Hiroki Ono & Shunsuke Kawasaki & Yi Kuang & Yoshihiko Fujita & Hirohide Saito, 2018. "Synthetic RNA-based logic computation in mammalian cells," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07181-2
    DOI: 10.1038/s41467-018-07181-2
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    Cited by:

    1. Shunsuke Kawasaki & Hiroki Ono & Moe Hirosawa & Takeru Kuwabara & Shunsuke Sumi & Suji Lee & Knut Woltjen & Hirohide Saito, 2023. "Programmable mammalian translational modulators by CRISPR-associated proteins," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. William C. W. Chen & Leonid Gaidukov & Yong Lai & Ming-Ru Wu & Jicong Cao & Michael J. Gutbrod & Gigi C. G. Choi & Rachel P. Utomo & Ying-Chou Chen & Liliana Wroblewska & Manolis Kellis & Lin Zhang & , 2022. "A synthetic transcription platform for programmable gene expression in mammalian cells," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    3. Ge Han & Yi Xue, 2022. "Rational design of hairpin RNA excited states reveals multi-step transitions," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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