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A spatially localized DNA linear classifier for cancer diagnosis

Author

Listed:
  • Linlin Yang

    (Chinese Academy of Sciences
    Shanghai Jiao Tong University
    Binzhou Medical University)

  • Qian Tang

    (Chinese Academy of Sciences)

  • Mingzhi Zhang

    (Shanghai Jiao Tong University)

  • Yuan Tian

    (Shanghai Jiao Tong University)

  • Xiaoxing Chen

    (Shanghai Jiao Tong University)

  • Rui Xu

    (Intellinosis Biotech Co.Ltd.)

  • Qian Ma

    (Intellinosis Biotech Co.Ltd.)

  • Pei Guo

    (Chinese Academy of Sciences)

  • Chao Zhang

    (Shanghai Jiao Tong University
    Intellinosis Biotech Co.Ltd.)

  • Da Han

    (Chinese Academy of Sciences
    Shanghai Jiao Tong University)

Abstract

Molecular computing is an emerging paradigm that plays an essential role in data storage, bio-computation, and clinical diagnosis with the future trends of more efficient computing scheme, higher modularity with scaled-up circuity and stronger tolerance of corrupted inputs in a complex environment. Towards these goals, we construct a spatially localized, DNA integrated circuits-based classifier (DNA IC-CLA) that can perform neuromorphic architecture-based computation at a molecular level for medical diagnosis. The DNA-based classifier employs a two-dimensional DNA origami as the framework and localized processing modules as the in-frame computing core to execute arithmetic operations (e.g. multiplication, addition, subtraction) for efficient linear classification of complex patterns of miRNA inputs. We demonstrate that the DNA IC-CLA enables accurate cancer diagnosis in a faster (about 3 h) and more effective manner in synthetic and clinical samples compared to those of the traditional freely diffusible DNA circuits. We believe that this all-in-one DNA-based classifier can exhibit more applications in biocomputing in cells and medical diagnostics.

Suggested Citation

  • Linlin Yang & Qian Tang & Mingzhi Zhang & Yuan Tian & Xiaoxing Chen & Rui Xu & Qian Ma & Pei Guo & Chao Zhang & Da Han, 2024. "A spatially localized DNA linear classifier for cancer diagnosis," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48869-y
    DOI: 10.1038/s41467-024-48869-y
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    References listed on IDEAS

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