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

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.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-11-06
DOI
https://doi.org/10.1093/nar/gkaf1144
Citations
2
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
1.61

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article

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

Zhuobin Lin, Kunhua Hu, Luowanyue Zhang, Jian Ren et al.
2 citations
Nucleic Acids Research
RNA modifications and cancer
1.61
article

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

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

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.

Nucleic Acids ResearchVol. 54(D1)
Sun Yat-sen University (CN), Henan Academy of Sciences (CN), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China, Sun Yat-sen University, National Key Research and Development Program of China, Sun Yat-sen University Cancer Center
Openalex Percentile: Top 14%
RNA modifications and cancer
1.61
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