Evidence map›Paper›PMID 41182820›Full record

ArticleNucleic acids research2026

NapRNAdb: a multispecies repository and analytical platform for napRNA discovery and functional annotation.

Jiajia Xuan, Chunhua Xiao, Yonglei Luo, Shidong Tang, Junjie Pang, Zhirong Chen, Wanting Liu, Qing-Yu He

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Jiajia XuanMOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0009-0004-5066-2720
Chunhua XiaoMOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Yonglei LuoMOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Shidong TangMOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Junjie PangMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
Zhirong ChenSchool of Pharmaceutical Sciences, State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 511400, China.
Wanting LiuMOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Qing-Yu HeMOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0000-0003-0503-9492

Funding

Fundamental Research Funds for the Central UniversitiesJinan University 21623335Science and Technology Projects in Guangzhou 2024A04J4125
6 · The paper itself

Abstract

Over 75% of the human genome transcribes noncapped RNAs (napRNAs), which typically function as noncoding RNAs in gene expression regulation. While short napRNAs (e.g. small RNAs) have well-defined transcriptomic roles, long napRNAs with diverse terminal modifications remain poorly characterized. To advance research, we developed NapRNAdb (https://bioinformaticsscience.cn/naprnadb), the first database dedicated to NAP-seq-derived napRNAs, enabling cross-species napRNA transcriptome profiling (40 species). This resource integrates 30 708 napRNAs derived from human and mouse NAP-seq with their expression profiles in multiple biological models, comprising 1016 ACA-napRNAs, 297 CD-napRNAs, 2302 Pol3-napRNAs, 157 polyA-pocket-ACA-napRNAs, 1536 stably expressed linear intron RNAs, 57 small nucleolar RNAs (snoRNAs)-intron napRNAs, 55 microRNA spacer-embedded RNAs, and 25 288 others. Leveraging evolutionary conservation analysis, NapRNAdb cost-effectively identifies 197 345 napRNAs spanning 8 categories in 38 species, with secondary structure and cross-species conservation for each molecule. Critically, NapRNAdb delivers the "PreTool" module for efficiently evaluating target sequence potential for napRNA processing via sequence similarity analysis. It also supports gene queries to verify participation in napRNA formation. Additionally, it systematically deciphers interaction networks linking napRNAs to RNA modifications, RNA-binding proteins, and disease-associated single nucleotide variants. Overall, NapRNAdb provides interactive interfaces to explore transcriptional, structural, expressional, and functional landscapes for napRNAs, facilitating comprehensive dissection of their biology while accelerating mechanistic insights into this field.

Indexed as

Databases, GeneticDatabases, Nucleic AcidRNA, UntranslatedAnimalsComputational BiologyGene Expression ProfilingHumansMiceMolecular Sequence AnnotationSoftwareTranscriptomeRNA, Untranslated

Identifiers

PMID41182820
PMCPMC12807620

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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.