Evidence map›Paper›PMID 41206472›Full record

ArticleNucleic acids research2026

RMPore: a comprehensive database of single-molecule RNA modifications detected by Nanopore direct RNA sequencing.

Zhuobin Lin, Xiaoqiong Bao, Luowanyue Zhang, Yuantai Huang, Huiqin Li, Wei Liu, Jian Ren, Zhixiang Zuo, Kunhua Hu

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Zhuobin LinGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Xiaoqiong BaoGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Luowanyue ZhangMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China.
Yuantai HuangGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Huiqin LiGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Wei LiuGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Jian RenGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-4161-1292
Zhixiang ZuoGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-2492-2689
Kunhua HuGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.

Funding

National Key Research and Development Program of China 2023YFF1204600National Key Research and Development Program of China 2024YFC3406203National Natural Science Foundation of China 32470709National Natural Science Foundation of China 82472868National Natural Science Foundation of China 82573769Science and Technology Projects in Guangzhou 2024A03J0101Shenzhen Medical Research Fund B2402019Young Talents Program of Sun Yat-sen University Cancer Center YTP-SYSUCC-0013
6 · The paper itself

Abstract

Transcriptome profiling of RNA modifications is essential for uncovering and characterizing novel post-transcriptional regulatory mechanisms. However, most of the known RNA modifications remain poorly explored due to technological limitations. Nanopore direct RNA sequencing (DRS) provides an advantageous solution for transcriptome-wide RNA modification profiling, enabling simultaneous identification of any modification type in native RNA, with full-length coverage and single-molecule resolution. We developed RMPore (https://rmpore.renlab.cn/), a comprehensive database of single-molecule RNA modifications detected from 958 DRS samples across 34 species. We constructed a practical analytical pipeline integrating 20 detection tools and categorized all detected sites into three confidence levels (high, medium, and low) based on the prediction thresholds and reproducibility of tools, datasets, and other technologies, identifying a total of 65 025 784 modification sites spanning 25 modification types. To further investigate the characteristics of these modification sites and elucidate the regulatory relationships among different modification types, we performed single-molecule advanced analyses of correlated sites and haplotype-biased sites. Meanwhile, we also incorporated extensive molecular event annotations of modification sites in RMPore, including splicing events, RNA-binding protein interactions, RNA-RNA interactions, and circular RNAs. We expect that RMPore will advance single-molecule epitranscriptomics research, bridging critical gaps in the field of RNA modification research.

Indexed as

Databases, GeneticDatabases, Nucleic AcidNanopore SequencingRNARNA Processing, Post-TranscriptionalSequence Analysis, RNAAnimalsHumansNanoporesTranscriptomeRNA

Identifiers

PMID41206472
PMCPMC12807678

What OpenQuestion holds

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Registered trials

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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.