Evidence map›Paper›PMID 35236776›Full record

ArticleRNA (New York, N.Y.)2022

The limits of human microRNA annotation have been met.

Bastian Fromm, Xiangfu Zhong, Marcel Tarbier, Marc R Friedländer, Michael Hackenberg

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Therapeutic Applications of Poly-miRNAs and miRNA Sponges.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. It is Time to Revisit miRNA Therapeutics.Nucleic acid therapeutics · 2025
    Review
  17. Article
  18. Article
  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

5 authors.

Bastian FrommThe Arctic University Museum of Norway, UiT-The Arctic University of Norway, 9006 Tromsø, Norway.ORCID 0000-0003-0352-3037
Xiangfu ZhongDepartment of Biosciences and Nutrition, Karolinska Institute, 14183 Huddinge, Sweden.ORCID 0000-0002-1872-1186
Marcel TarbierScience for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, 17165 Solna, Sweden.ORCID 0000-0003-0556-2531
Marc R FriedländerScience for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, 10691 Stockholm, Sweden.ORCID 0000-0001-6577-4363
Michael HackenbergDepartment of Genetics, Faculty of Sciences, MNAT Excellence Unit, University of Granada, 18071 Granada, Spain.ORCID 0000-0003-2248-3114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last few years, the number of microRNAs in the human genome has become a controversially debated issue. Several publications reported thousands of putative novel microRNAs not included in the curated microRNA gene database MirGeneDB and the repository miRBase. Recently, by using sequencing of ∼300 human tissues and cell lines, the human RNA atlas, an expanded inventory of human RNA annotations, was published, reporting thousands of putative microRNAs. We, the developers of established microRNA prediction tools and hosts of MirGeneDB, raise concerns about the frequently applied prediction and functional validation strategies, briefly discussing the drawbacks of false positive detections. By means of quantifying well-established biogenesis-derived features, we show that the reported novel microRNAs essentially represent false-positives and argue that the human microRNA complement, at about 550 microRNA genes, is already near complete. Output of available tools must be curated as false predictions will misguide scientists looking for biomarkers or therapeutic targets.

Indexed as

MicroRNAsComputational BiologyDatabases, Nucleic AcidHumansMolecular Sequence AnnotationMicroRNAsannotationmicroRNAsmiRBaseMirGeneDBncRNA prediction

Identifiers

PMID35236776
PMCPMC9074900

What OpenQuestion holds

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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.