Evidence map›Paper›PMID 33569079›Full record

ArticleFrontiers in genetics2020

Integrative Epigenomic Analysis of Transcriptional Regulation of Human CircRNAs.

Xue-Cang Li, Zhi-Dong Tang, Li Peng, Yan-Yu Li, Feng-Cui Qian, Jian-Mei Zhao, Ling-Wen Ding, Xiao-Juan Du, Meng Li, Jian Zhang and 6 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Super-enhancers complexes zoom in transcription in cancer.Journal of experimental & clinical cancer research : CR · 2023
    Review
  5. Review
  6. 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

16 authors.

Xue-Cang LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Zhi-Dong TangSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Li PengGuangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yan-Yu LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Feng-Cui QianSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jian-Mei ZhaoSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Ling-Wen DingCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Xiao-Juan DuThe 942 Hospital of Joint Logistic Support Force of PLA, Yinchuan, China.
Meng LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jian ZhangSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Xue-Feng BaiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jiang ZhuSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Chen-Chen FengSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Qiu-Yu WangSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jian PanDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, China.
Chun-Quan LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) are evolutionarily conserved and abundant non-coding RNAs whose functions and regulatory mechanisms remain largely unknown. Here, we identify and characterize an epigenomically distinct group of circRNAs (TAH-circRNAs), which are transcribed to a higher level than their host genes. By integrative analysis of cistromic and transcriptomic data, we find that compared with other circRNAs, TAH-circRNAs are expressed more abundantly and have more transcription factors (TFs) binding sites and lower DNA methylation levels. Concordantly, TAH-circRNAs are enriched in open and active chromatin regions. Importantly, ChIA-PET results showed that 23-52% of transcription start sites (TSSs) of TAH-circRNAs have direct interactions with cis-regulatory regions, strongly suggesting their independent transcriptional regulation from host genes. In addition, we characterize molecular features of super-enhancer-driven circRNAs in cancer biology. Together, this study comprehensively analyzes epigenomic characteristics of circRNAs and identifies a distinct group of TAH-circRNAs that are independently transcribed via enhancers and super-enhancers by TFs. These findings substantially advance our understanding of the regulatory mechanism of circRNAs and may have important implications for future investigations of this class of non-coding RNAs.

Indexed as

circular RNAsepigenomicTAH-circRNAstranscriptional regulationtranscription factors

Identifiers

PMID33569079
PMCPMC7868561

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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.