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Size-selective molecular recognition based on a confined DNA molecular sieve using cavity-tunable framework nucleic acids

Author

Listed:
  • Xiaoyi Fu

    (Hunan University)

  • Guoliang Ke

    (Hunan University)

  • Fangqi Peng

    (Hunan University)

  • Xue Hu

    (Hunan University)

  • Jiaqi Li

    (Hunan University)

  • Yuyan Shi

    (Hunan University)

  • Gezhi Kong

    (Hunan University)

  • Xiao-Bing Zhang

    (Hunan University)

  • Weihong Tan

    (Hunan University
    The Cancer Hospital of the University of Chinese Academy of Sciences
    Shanghai Jiao Tong University)

Abstract

Size selectivity is an important mechanism for molecular recognition based on the size difference between targets and non-targets. However, rational design of an artificial size-selective molecular recognition system for biological targets in living cells remains challenging. Herein, we construct a DNA molecular sieve for size-selective molecular recognition to improve the biosensing selectivity in living cells. The system consists of functional nucleic acid probes (e.g., DNAzymes, aptamers and molecular beacons) encapsulated into the inner cavity of framework nucleic acid. Thus, small target molecules are able to enter the cavity for efficient molecular recognition, while large molecules are prohibited. The system not only effectively protect probes from nuclease degradation and nonspecific proteins binding, but also successfully realize size-selective discrimination between mature microRNA and precursor microRNA in living cells. Therefore, the DNA molecular sieve provides a simple, general, efficient and controllable approach for size-selective molecular recognition in biomedical studies and clinical diagnoses.

Suggested Citation

  • Xiaoyi Fu & Guoliang Ke & Fangqi Peng & Xue Hu & Jiaqi Li & Yuyan Shi & Gezhi Kong & Xiao-Bing Zhang & Weihong Tan, 2020. "Size-selective molecular recognition based on a confined DNA molecular sieve using cavity-tunable framework nucleic acids," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15297-7
    DOI: 10.1038/s41467-020-15297-7
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    Cited by:

    1. Yichuan Chen & Xinping Wang & Junqi Zhang & Qingyuan Jiang & Bin Qiao & Baoxia He & Wenhao Yin & Jie Qiao & Yi Liu, 2024. "Split crRNA with CRISPR-Cas12a enabling highly sensitive and multiplexed detection of RNA and DNA," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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