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DNA-based programmable gate arrays for general-purpose DNA computing

Author

Listed:
  • Hui Lv

    (Shanghai Jiao Tong University
    Zhangjiang Laboratory)

  • Nuli Xie

    (Shanghai Jiao Tong University)

  • Mingqiang Li

    (Shanghai Jiao Tong University)

  • Mingkai Dong

    (Shanghai Jiao Tong University)

  • Chenyun Sun

    (Shanghai Jiao Tong University)

  • Qian Zhang

    (Shanghai Jiao Tong University)

  • Lei Zhao

    (Shanghai Jiao Tong University
    Xiangfu Laboratory)

  • Jiang Li

    (The Interdisciplinary Research Center, Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences
    Shanghai University)

  • Xiaolei Zuo

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Haibo Chen

    (Shanghai Jiao Tong University)

  • Fei Wang

    (Shanghai Jiao Tong University)

  • Chunhai Fan

    (Shanghai Jiao Tong University)

Abstract

The past decades have witnessed the evolution of electronic and photonic integrated circuits, from application specific to programmable1,2. Although liquid-phase DNA circuitry holds the potential for massive parallelism in the encoding and execution of algorithms3,4, the development of general-purpose DNA integrated circuits (DICs) has yet to be explored. Here we demonstrate a DIC system by integration of multilayer DNA-based programmable gate arrays (DPGAs). We find that the use of generic single-stranded oligonucleotides as a uniform transmission signal can reliably integrate large-scale DICs with minimal leakage and high fidelity for general-purpose computing. Reconfiguration of a single DPGA with 24 addressable dual-rail gates can be programmed with wiring instructions to implement over 100 billion distinct circuits. Furthermore, to control the intrinsically random collision of molecules, we designed DNA origami registers to provide the directionality for asynchronous execution of cascaded DPGAs. We exemplify this by a quadratic equation-solving DIC assembled with three layers of cascade DPGAs comprising 30 logic gates with around 500 DNA strands. We further show that integration of a DPGA with an analog-to-digital converter can classify disease-related microRNAs. The ability to integrate large-scale DPGA networks without apparent signal attenuation marks a key step towards general-purpose DNA computing.

Suggested Citation

  • Hui Lv & Nuli Xie & Mingqiang Li & Mingkai Dong & Chenyun Sun & Qian Zhang & Lei Zhao & Jiang Li & Xiaolei Zuo & Haibo Chen & Fei Wang & Chunhai Fan, 2023. "DNA-based programmable gate arrays for general-purpose DNA computing," Nature, Nature, vol. 622(7982), pages 292-300, October.
  • Handle: RePEc:nat:nature:v:622:y:2023:i:7982:d:10.1038_s41586-023-06484-9
    DOI: 10.1038/s41586-023-06484-9
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    Cited by:

    1. Nazarii Sabat & Andreas Stämpfli & Steven Hanlon & Serena Bisagni & Filippo Sladojevich & Kurt Püntener & Marcel Hollenstein, 2024. "Template-dependent DNA ligation for the synthesis of modified oligonucleotides," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Anne M. Luescher & Andreas L. Gimpel & Wendelin J. Stark & Reinhard Heckel & Robert N. Grass, 2024. "Chemical unclonable functions based on operable random DNA pools," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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