Evidence map›Paper›PMID 40512546›Full record

ArticleNucleic acids research2025

Super-enhancer-mediated circRNAs exhibit high splicing circularization diversity and transcriptional activity.

Shaodong Huang, Yulong Han, Yiran Liu, Lina Bu, Chenyang Wu, Ziyan Rao, Chuan Ye, Hansen Cheng, Yunxi Liao, Yunan Sun and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. 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. Review
  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

15 authors.

Shaodong HuangDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yulong HanDepartment of Basic Science Research, Guangzhou National Laboratory, Guangzhou 510005, China.
Yiran LiuDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Lina BuDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Chenyang WuDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Ziyan RaoDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Chuan YeDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Hansen ChengDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yunxi LiaoDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yunan SunDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yushu ZouDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Zixu WangDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Bryan-Yu SunDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Shu MengDepartment of Basic Science Research, Guangzhou National Laboratory, Guangzhou 510005, China.
Dongyu ZhaoDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0003-3882-0218

Funding

Fundamental Research Funds for the Central Universities BMU2021YJ057General Program of Beijing Natural Science Foundation 5242010Major Project of Guangzhou National Laboratory GZNL2023A02009National Natural Science Foundation of China 32270603National Natural Science Foundation of China 82170512
6 · The paper itself

Abstract

Circular RNAs (circRNAs), an emerging subclass of noncoding RNAs, have been increasingly recognized as critical regulators in diverse biological functions and cellular processes. Despite their functional significance, the epigenetic mechanisms governing circRNA biogenesis remain poorly understood. Our study reveals that H3K27ac-marked super-enhancers (SEs) significantly enhance both circRNA splicing circularization diversity and transcriptional activation of their host genes. Intriguingly, other histone modifications-including H3K4me3, H3K36me3, H3K27me3, and H3K9me3-exhibit distinct regulatory effects on circRNA transcriptional activity. Through comprehensive analysis of 195 transcriptomic profiles, we identified a pan-cancer epigenomic tumor-suppressor signature termed CircRNA Isoform Reduction for Shortened Enhancers in cancer (CIRSE). Notably, CIRSE demonstrates strong prognostic potential in lung adenocarcinoma, as validated by comprehensive survival analyses. Combining Nanopore sequencing with CLIP-Seq approaches, we further elucidated the dual regulatory mechanism involving circRNA stability maintenance and back-splicing junction selection mediated by specific RNA-binding proteins. Functional validation confirmed that CIRSE-defined tumor-suppressive circRNAs are essential for maintaining malignant phenotypes in cancer models. Our findings not only provide mechanistic insights into the epigenetic regulation of circRNAs, but also pave the way for mutation-agnostic discovery of tumor-suppressive circRNAs in precision oncology applications.

Indexed as

Enhancer Elements, GeneticRNA, CircularRNA SplicingAdenocarcinoma of LungCell Line, TumorEpigenesis, GeneticGene Expression Regulation, NeoplasticHistone CodeHistonesHumansLung NeoplasmsNeoplasmsRNA-Binding ProteinsHistonesRNA-Binding ProteinsRNA, Circular

Identifiers

PMID40512546
PMCPMC12164585

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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.