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Updated: Jul 1, 2025
10:36
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
12.1K
Digital RNA sequencing using unique molecular identifiers enables ultrasensitive RNA mutation analysis
Manuel Luna Santamaría1,2, Daniel Andersson1, Toshima Z Parris3
1Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Communications Biology
|March 1, 2024
Summary
This study introduces digital RNA sequencing, a novel method for ultrasensitive RNA mutation analysis. It achieves low error rates comparable to DNA sequencing, enabling detection of low-frequency mutations in various applications.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Mutation analysis traditionally relies on DNA, limiting applications requiring RNA assessment.
- Specific applications such as transcriptional mutagenesis and gene expression analysis necessitate RNA-level analysis.
Purpose of the Study:
- To develop and evaluate a low-error digital RNA sequencing method.
- To enable ultrasensitive detection of mutations at the RNA level.
Main Methods:
- Combined reverse transcription with digital DNA sequencing.
- Evaluated seven reverse transcription conditions using multiplexed assays.
- Assessed yield, reproducibility, dynamic range, and error correction rates.
Main Results:
- Optimized reverse transcription conditions achieved RNA sequencing error rates comparable to DNA sequencing.
- Enabled detection of mutant allele frequencies below 0.1% at the RNA level.
- Successfully detected mutations in both DNA and RNA from tumor tissue and cell-free transcripts in liquid biopsies.
Conclusions:
- Digital RNA sequencing is a robust method for ultrasensitive RNA mutation analysis.
- This technique supports diverse basic research and clinical applications, including liquid biopsy analysis.
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