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Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection
Published on: February 9, 2024
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Enzyme-free simultaneous detection of circular RNA and linear RNA based on DNA-stabilized silver nanoclusters
Xuting Liu1, Yi Zhen1, Xin Ren1
1Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Talanta
|January 13, 2026
Summary
This study introduces a novel DNA-stabilized silver nanocluster platform for simultaneously detecting circular RNAs (circRNAs) and linear RNAs. This method overcomes sequence homology challenges, aiding RNA research and biomarker discovery.
Area of Science:
- Biochemistry
- Molecular Biology
- Nanotechnology
Background:
- Circular RNAs (circRNAs) and linear RNAs play roles in cellular functions and disease.
- Simultaneous detection is crucial for understanding RNA mechanisms and finding biomarkers.
- High sequence homology between circRNAs and linear RNAs presents a detection challenge.
Purpose of the Study:
- To develop a platform for simultaneous detection of circRNAs and homologous linear RNAs.
- To overcome the challenge of sequence homology in RNA detection.
- To facilitate RNA-related mechanism studies and biomarker discovery.
Main Methods:
- Designed a two-type RNA detection platform using DNA-stabilized silver nanoclusters (DNA-AgNCs).
- Utilized fluorescence quenching for total RNA detection and fluorescence enhancement/redshift for circRNA detection.
- Quantified RNA concentrations via fluorescence intensity changes.
Main Results:
- Achieved simultaneous detection of circRNAs and homologous linear RNAs.
- Established limits of detection at 1.10 pM for circRNA and 3.46 pM for total RNAs.
- Successfully applied the platform to detect circABCB10 and its linear counterpart in cells with high selectivity.
Conclusions:
- The DNA-AgNCs platform enables specific and simultaneous detection of circRNAs and linear RNAs.
- This method offers a sensitive approach for quantifying homologous RNA pairs.
- The platform shows significant potential for disease-related RNA biomarker discovery in biomedical research.

