Evidence map›Paper›PMID 32833025›Full record

ArticleNucleic acids research2021

MNDR v3.0: mammal ncRNA-disease repository with increased coverage and annotation.

Lin Ning, Tianyu Cui, Boyang Zheng, Nuo Wang, Jiaxin Luo, Beilei Yang, Mengze Du, Jun Cheng, Yiying Dou, Dong Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.Interdisciplinary sciences, computational life sciences · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Computational Resources for lncRNA Functions and Targetome.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Online Databases in Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  11. Article
  12. Oncogenic role ofTranslational cancer research · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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

10 authors.

Lin NingDermatology Hospital, Southern Medical University, Guangzhou 510091, China.
Tianyu CuiDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Boyang ZhengDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Nuo WangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Jiaxin LuoDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Beilei YangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Mengze DuQingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, B24 Yinquan South Road, Qingyuan 511518, Guangdong Province, People's Republic of China.
Jun ChengAffiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital).
Yiying DouDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Dong WangDermatology Hospital, Southern Medical University, Guangzhou 510091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have indicated that non-coding RNA (ncRNA) dysfunction is closely related to numerous diseases. Recently, accumulated ncRNA-disease associations have made related databases insufficient to meet the demands of biomedical research. The constant updating of ncRNA-disease resources has become essential. Here, we have updated the mammal ncRNA-disease repository (MNDR, http://www.rna-society.org/mndr/) to version 3.0, containing more than one million entries, four-fold increment in data compared to the previous version. Experimental and predicted circRNA-disease associations have been integrated, increasing the number of categories of ncRNAs to five, and the number of mammalian species to 11. Moreover, ncRNA-disease related drug annotations and associations, as well as ncRNA subcellular localizations and interactions, were added. In addition, three ncRNA-disease (miRNA/lncRNA/circRNA) prediction tools were provided, and the website was also optimized, making it more practical and user-friendly. In summary, MNDR v3.0 will be a valuable resource for the investigation of disease mechanisms and clinical treatment strategies.

Indexed as

Databases, Nucleic AcidAnimalsHumansInternetMammalsMicroRNAsMolecular Sequence AnnotationNeoplasmsRNA, CircularRNA, UntranslatedSoftwareMicroRNAsRNA, CircularRNA, Untranslated

Identifiers

PMID32833025
PMCPMC7779040

What OpenQuestion holds

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LicenceCC BY-NC
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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.