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Updated: Feb 10, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
Published on: December 1, 2023
RNase H-assisted RNA-primed rolling circle amplification for targeted RNA sequence detection
Hirokazu Takahashi1,2, Masahiko Ohkawachi1, Kyohei Horio1
1Graduate School of Advanced Sciences of Matter, Hiroshima University, Higashihiroshima, Hiroshima, 739-8530, Japan.
A new RNase H-assisted RNA-primed rolling circle amplification (RPRCA) method using padlocked probes enhances RNA detection specificity and allows full-length sequence information retrieval without reverse transcription.
Area of Science:
- Molecular Biology
- Nucleic Acid Amplification
- Biotechnology
Background:
- RNA-primed rolling circle amplification (RPRCA) is a valuable tool for RNA detection.
- Conventional RPRCA faces limitations in detecting 3'-terminal sequences and suffers from low specificity due to non-specific probe hybridization.
Purpose of the Study:
- To develop an improved RPRCA method for specific and sensitive RNA detection.
- To overcome the limitations of conventional RPRCA, particularly for mRNA detection.
- To enable the retrieval of full-length RNA sequence information without reverse transcription.
Main Methods:
- Developed RNase H-assisted RPRCA using padlocked probes.
- Padlock probes hybridize to target RNA and are circularized by SplintR ligase.
- RNase H creates nicks in hybridized RNA, followed by phi29 DNA polymerase-mediated DNA synthesis.
Main Results:
- Achieved specific detection of target RNA molecules down to 10 fmol.
- Demonstrated sensitive detection of GFP mRNA in total RNA from Escherichia coli without background amplification.
- The method successfully detected target RNA without requiring a reverse transcription step.
Conclusions:
- The developed RNase H-assisted RPRCA method offers high specificity and sensitivity for RNA detection.
- This technique enables the analysis of RNA molecules, including full-length sequence information, without prior reverse transcription.
- This advancement holds potential for broad applications in RNA detection and analysis across various biological contexts.
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