Dual Catalytic Hairpin Assembly-Based Automatic Molecule Machine for Amplified Detection of Auxin Response Factor-Targeted MicroRNA-160

Molecules. 2021 Oct 25;26(21):6432. doi: 10.3390/molecules26216432.

Abstract

MicroRNA160 plays a crucial role in plant development by negatively regulating the auxin response factors (ARFs). In this manuscript, we design an automatic molecule machine (AMM) based on the dual catalytic hairpin assembly (D-CHA) strategy for the signal amplification detection of miRNA160. The detection system contains four hairpin-shaped DNA probes (HP1, HP2, HP3, and HP4). For HP1, the loop is designed to be complementary to miRNA160. A fragment of DNA with the same sequences as miRNA160 is separated into two pieces that are connected at the 3' end of HP2 and 5' end of HP3, respectively. In the presence of the target, four HPs are successively dissolved by the first catalytic hairpin assembly (CHA1), forming a four-way DNA junction (F-DJ) that enables the rearrangement of separated DNA fragments at the end of HP2 and HP3 and serving as an integrated target analogue for initiating the second CHA reaction, generating an enhanced fluorescence signal. Assay experiments demonstrate that D-CHA has a better performance compared with traditional CHA, achieving the detection limit as low as 10 pM for miRNA160 as deduced from its corresponding DNA surrogates. Moreover, non-target miRNAs, as well as single-base mutation targets, can be detected. Overall, the D-CHA strategy provides a competitive method for plant miRNAs detection.

Keywords: AMM system; dual catalytic hairpin assembly process; miRNA160; signal amplification strategy; strand displacement reaction.

MeSH terms

  • Biosensing Techniques*
  • DNA Probes*
  • DNA, Catalytic*
  • Inverted Repeat Sequences*
  • MicroRNAs / analysis*
  • MicroRNAs / genetics
  • MicroRNAs / metabolism
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Transcription Factors* / metabolism

Substances

  • DNA Probes
  • DNA, Catalytic
  • MicroRNAs
  • Transcription Factors