4.8 Article

DNA Hairpins and Dumbbell-Wheel Transitions Amplified Walking Nanomachine for Ultrasensitive Nucleic Acid Detection

Journal

ACS NANO
Volume 16, Issue 3, Pages 4726-4733

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c11582

Keywords

circulating tumor DNA; SARS-CoV-2 RNA; DNA walker; strand displacement amplification; biosensors

Funding

  1. Science and Technology Cooperation Project between the Chinese and Australian Governments [2017YFE0132300]
  2. Natural Science Foundation of Jiangsu Province [BK20201184]
  3. Basic Research Program of Suzhou [SJC2021016]

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This study presents a concept of DNA bipedal walking nanomachine for direct nucleic acid assay. The DNA nanostructures transitions and pH-assisted detachable intermolecular design are utilized for the construction and regeneration of electrochemical biosensor. The feasibility of detecting ctDNA and SARS-CoV-2 RNA in clinical samples has been demonstrated.
Nucleic acids, including circulating tumor DNA (ctDNA), microRNA, and virus DNA/RNA, have been widely applied as potential disease biomarkers for early clinical diagnosis. In this study, we present a concept of DNA nanostructures transitions for the construction of DNA bipedal walking nanomachine, which integrates dual signal amplification for direct nucleic acid assay. DNA hairpins transition is developed to facilitate the generation of multiple target sequences; meanwhile, the subsequent DNA dumbbell-wheel transition is controlled to achieve the bipedal walker, which cleaves multiple tracks around electrode surface. Through combination of strand displacement reaction and digestion cycles, DNA monolayer at the electrode interface could be engineered and target-induced signal variation is realized. In addition, pH-assisted detachable intermolecular DNA triplex design is utilized for the regeneration of electrochemical biosensor. The high consistency between this work and standard quantitative polymerase chain reaction is validated. Moreover, the feasibilities of this biosensor to detect ctDNA and SARS-CoV-2 RNA in clinical samples are demonstrated with satisfactory accuracy and reliability. Therefore, the proposed approach has great potential applications for nucleic acid based clinical diagnostics.

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