Evidence map›Paper›PMID 42484979›Full record

ArticleAdvanced biotechnology2026

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

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

Abstract read
In one paragraph

Article in Advanced biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shi Cheng *The Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China. chengshi1013@gzhmu.edu.cn.ORCID http://orcid.org/0000-0002-0092-564X
Yunling Qi *The Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China.
Jiaqi Ya *The Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China.
Lei Xia *The Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China.
Wenshan ZhangThe Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China.
Qing XiongThe Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China.
Qiuli LiuBiotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. liuqli3@mail.sysu.edu.cn.
Jiaxing ZhangThe Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China. JiaxingZhang1997@163.com.
Yulong SongThe Affiliated Panyu Central Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, GMU-GIBH Joint School of Life Sciences, Guangdong Provincial Key Laboratory of Protein Modification and Disease, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China. songyulong@gzhmu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515011081Basic and Applied Basic Research Foundation of Guangdong Province 2026A1515010464Funding by Science and Technology Projects in Guangzhou 2024B03J1241Grant from National Key Laboratory of Respiratory Diseases J25411010Guangdong Medical Research Foundation B2025244Key Programme 82370629Key Programme 92269107Key Programme 92569203Natural Science Foundation of Guangzhou Municipality G24151021
6 · The paper itself

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.

Indexed as

A-to-I RNA editingEditing levelLong-read cDNA sequencingQuantificationShort-read RNA-seq

Identifiers

PMID42484979
PMCPMC13391985

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.