Short-read RNA-seq yields lower estimates of A-to-I RNA editing levels than long-read cDNA sequencing

A-to-I RNA editing, one of the most frequent RNA modifications, is essential for most aspects of RNA metabolism. However, the accuracy of quantifying A-to-I editing levels has been largely neglected, particularly when contrasting next-generation sequencing (NGS) with long-read sequencing (LRS) RNA-seq. To address it, we performed paired NGS and LRS cDNA RNA-seq of both HEK293T and U2OS cells, revealing that the A-to-I editing levels were estimated to be lower by NGS compared with LRS, a conclusion that was confirmed through full-length amplicon sequencing. Furthermore, the lower estimation of A-to-I editing levels is widespread, while we also identified this consequence using released public both same-study and cross-study NGS and LRS RNA-seq data in various human cancer cell lines. In addition, our analyses indicate that the primary factor contributing to this lower estimation is the sequencing read length difference, and a significantly positive correlation between the quantification and read length is identified by analyzing the public NGS RNA-seq data of various cell lines. We additionally found that shorter sequencing reads are more prone to aligning incorrectly to the reference genome, such as uniquely-to-multiply mapped and uniquely mapped-to-unmapped, inducing the lower estimation of A-to-I editing levels. In summary, our analyses indicate that LRS RNA-seq is preferable for accurately quantifying A-to-I editing levels.

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Publication Details

Journal
Advanced Biotechnology
Published
2026-07-22
DOI
https://doi.org/10.1007/s44307-026-00123-w
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
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article

Short-read RNA-seq yields lower estimates of A-to-I RNA editing levels than long-read cDNA sequencing

Shi Cheng, Junhua Zhang, Yulong Song, Wenshan Zhang et al.
Advanced Biotechnology
RNA regulation and disease
article

Short-read RNA-seq yields lower estimates of A-to-I RNA editing levels than long-read cDNA sequencing

Shi Cheng, Junhua Zhang, Yulong Song, Wenshan Zhang, Qing Xiong, Yunling Qi, Jiaqi Ya, Lei Xia, Qiuli Liu
article en

Abstract

A-to-I RNA editing, one of the most frequent RNA modifications, is essential for most aspects of RNA metabolism. However, the accuracy of quantifying A-to-I editing levels has been largely neglected, particularly when contrasting next-generation sequencing (NGS) with long-read sequencing (LRS) RNA-seq. To address it, we performed paired NGS and LRS cDNA RNA-seq of both HEK293T and U2OS cells, revealing that the A-to-I editing levels were estimated to be lower by NGS compared with LRS, a conclusion that was confirmed through full-length amplicon sequencing. Furthermore, the lower estimation of A-to-I editing levels is widespread, while we also identified this consequence using released public both same-study and cross-study NGS and LRS RNA-seq data in various human cancer cell lines. In addition, our analyses indicate that the primary factor contributing to this lower estimation is the sequencing read length difference, and a significantly positive correlation between the quantification and read length is identified by analyzing the public NGS RNA-seq data of various cell lines. We additionally found that shorter sequencing reads are more prone to aligning incorrectly to the reference genome, such as uniquely-to-multiply mapped and uniquely mapped-to-unmapped, inducing the lower estimation of A-to-I editing levels. In summary, our analyses indicate that LRS RNA-seq is preferable for accurately quantifying A-to-I editing levels.

Advanced BiotechnologyVol. 4(3)
Sun Yat-sen University (CN), Third Affiliated Hospital of Sun Yat-sen University (CN), State Key Laboratory of Respiratory Disease (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 14%
RNA regulation and disease
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