Evidence map›Paper›PMID 34850139›Full record

ArticleNucleic acids research2022

CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers.

Yigang Chen, Lantian Yao, Yun Tang, Jhih-Hua Jhong, Jingting Wan, Jingyue Chang, Shidong Cui, Yijun Luo, Xiaoxuan Cai, Wenshuo Li and 8 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Whole genome circRNA profiling ofDrug metabolism and personalized therapy · 2026
    Article
  8. Article
  9. Construction and Analysis of circRNA-miRNA-mRNA Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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  19. Article
  20. 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

18 authors.

Yigang ChenThe Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
Lantian YaoWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
Yun TangSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Jhih-Hua JhongWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0001-6158-5207
Jingting WanSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Jingyue ChangSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Shidong CuiSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Yijun LuoSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Xiaoxuan CaiSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Wenshuo LiWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
Qi ChenWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
Hsi-Yuan HuangThe Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
Zhuo WangWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0002-7076-8432
Weiming ChenSchool of Data Science, The Chinese University of Hong Kong, Shenzhen 518172, China.
Tzu-Hao ChangGraduate Institute of Biomedical Informatics, Taipei Medical University, Taipei 110, Taiwan.
Fengxiang WeiThe Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
Tzong-Yi LeeSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0001-8475-7868
Hsien-Da HuangThe Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.ORCID 0000-0003-2857-7023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs), which are single-stranded RNA molecules that have individually formed into a covalently closed continuous loop, act as sponges of microRNAs to regulate transcription and translation. CircRNAs are important molecules in the field of cancer diagnosis, as growing evidence suggests that they are closely related to pathological cancer features. Therefore, they have high potential for clinical use as novel cancer biomarkers. In this article, we present our updates to CircNet (version 2.0), into which circRNAs from circAtlas and MiOncoCirc, and novel circRNAs from The Cancer Genome Atlas database have been integrated. In total, 2732 samples from 37 types of cancers were integrated into CircNet 2.0 and analyzed using several of the most reliable circRNA detection algorithms. Furthermore, target miRNAs were predicted from the full-length circRNA sequence using three reliable tools (PITA, miRanda and TargetScan). Additionally, 384 897 experimentally verified miRNA-target interactions from miRTarBase were integrated into our database to facilitate the construction of high-quality circRNA-miRNA-gene regulatory networks. These improvements, along with the user-friendly interactive web interface for data presentation, search, and visualization, showcase the updated CircNet database as a powerful, experimentally validated resource, for providing strong data support in the biomedical fields. CircNet 2.0 is currently accessible at https://awi.cuhk.edu.cn/∼CircNet.

Indexed as

Databases, GeneticBiomarkers, TumorGene Expression ProfilingGene Regulatory NetworksHumansNeoplasmsRNA, CircularBiomarkers, TumorRNA, Circular

Identifiers

PMID34850139
PMCPMC8728223

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.