Evidence map›Paper›PMID 30820533›Full record

ArticleNucleic acids research2019

An estimate of the total number of true human miRNAs.

Julia Alles, Tobias Fehlmann, Ulrike Fischer, Christina Backes, Valentina Galata, Marie Minet, Martin Hart, Masood Abu-Halima, Friedrich A Grässer, Hans-Peter Lenhof and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 321 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
321citing papers in PubMed, 1 pooled it
–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

321 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Analysis of MicroRNAs Expression Across Cells, Tissues, and Body Fluids.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  12. Research progress on macrophage regulation of atherosclerosis.Frontiers in cardiovascular medicine · 2026
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

261 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

12 authors.

Julia AllesInstitute of Human Genetics, Saarland University, 66421 Homburg, Germany.
Tobias FehlmannChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Ulrike FischerInstitute of Human Genetics, Saarland University, 66421 Homburg, Germany.
Christina BackesChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Valentina GalataChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Marie MinetInstitute of Human Genetics, Saarland University, 66421 Homburg, Germany.
Martin HartInstitute of Human Genetics, Saarland University, 66421 Homburg, Germany.
Masood Abu-HalimaInstitute of Human Genetics, Saarland University, 66421 Homburg, Germany.
Friedrich A GrässerInstitute of Virology, Saarland University Medical School, 66421 Homburg, Germany.
Hans-Peter LenhofChair for Bioinformatics, Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Eckart MeeseInstitute of Human Genetics, Saarland University, 66421 Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the number of human miRNA candidates continuously increases, only a few of them are completely characterized and experimentally validated. Toward determining the total number of true miRNAs, we employed a combined in silico high- and experimental low-throughput validation strategy. We collected 28 866 human small RNA sequencing data sets containing 363.7 billion sequencing reads and excluded falsely annotated and low quality data. Our high-throughput analysis identified 65% of 24 127 mature miRNA candidates as likely false-positives. Using northern blotting, we experimentally validated miRBase entries and novel miRNA candidates. By exogenous overexpression of 108 precursors that encode 205 mature miRNAs, we confirmed 68.5% of the miRBase entries with the confirmation rate going up to 94.4% for the high-confidence entries and 18.3% of the novel miRNA candidates. Analyzing endogenous miRNAs, we verified the expression of 8 miRNAs in 12 different human cell lines. In total, we extrapolated 2300 true human mature miRNAs, 1115 of which are currently annotated in miRBase V22. The experimentally validated miRNAs will contribute to revising targetomes hypothesized by utilizing falsely annotated miRNAs.

Indexed as

Computer SimulationSequence Analysis, RNABlotting, NorthernCell LineDatasets as TopicFalse Positive ReactionsHumansMicroRNAsMolecular Sequence AnnotationReproducibility of ResultsRNA PrecursorsMicroRNAsRNA Precursors

Identifiers

PMID30820533
PMCPMC6468295

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.