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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
Published on: October 7, 2025
481
A plasmonic colorimetric strategy for visual miRNA detection based on hybridization chain reaction
Jie Miao1, Jingsheng Wang1, Jinyang Guo1
1Department of Clinical Laboratory, the 404th Hospital of PLA, Weihai 264200, P. R. China.
Scientific Reports
|August 19, 2016
Summary
This study introduces a simple colorimetric method for microRNA (miRNA) detection. It uses silver nanoparticles and DNA reactions to accurately measure miRNA levels in biological samples.
Area of Science:
- Biochemistry
- Nanotechnology
- Analytical Chemistry
Background:
- MicroRNA (miRNA) analysis is crucial for understanding gene regulation and disease.
- Existing miRNA detection methods can be complex or require expensive equipment.
- Developing sensitive and straightforward miRNA detection strategies is an ongoing challenge.
Purpose of the Study:
- To develop a novel colorimetric strategy for miRNA detection.
- To utilize hybridization chain reaction (HCR) and localized surface plasmon resonance (LSPR) for sensitive miRNA quantification.
- To create a simple and effective sensing system for biological samples.
Main Methods:
- A colorimetric assay based on silver nanoparticles (AgNPs) and HCR was designed.
- Toehold exchange-mediated strand displacement released the HCR initiator.
- AgNPs aggregation, monitored by UV-vis spectroscopy, indicated miRNA levels.
Main Results:
- The sensing system successfully detected miRNA through changes in AgNPs' LSPR.
- HCR triggered by miRNA led to the formation of DNA structures that destabilized AgNPs.
- The method demonstrated excellent practical utility in various biological samples.
Conclusions:
- A novel, simple, and effective colorimetric miRNA detection strategy was established.
- The method leverages HCR-mediated LSPR variation of AgNPs for sensitive analysis.
- This approach shows significant potential for miRNA quantification in real-world applications.

