Evidence map›Paper›PMID 29749304›Full record

ArticleRNA biology2018

The deterministic role of 5-mers in microRNA-gene targeting.

Martin Hart, Fabian Kern, Christina Backes, Stefanie Rheinheimer, Tobias Fehlmann, Andreas Keller, Eckart Meese

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Computational Detection of MicroRNA Targets.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. miR-34a as hub of T cell regulation networks.Journal for immunotherapy of cancer · 2019
    Article
  13. 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

7 authors at 1 institution in 1 country.

Martin Harta Institute of Human Genetics, Saarland University , Homburg , Germany.
Fabian Kernb Chair for Clinical Bioinformatics, Saarland University , Saarbrücken , Germany.ORCID 0000-0002-8223-3750
Christina Backesb Chair for Clinical Bioinformatics, Saarland University , Saarbrücken , Germany.
Stefanie Rheinheimera Institute of Human Genetics, Saarland University , Homburg , Germany.
Tobias Fehlmannb Chair for Clinical Bioinformatics, Saarland University , Saarbrücken , Germany.
Andreas Kellerb Chair for Clinical Bioinformatics, Saarland University , Saarbrücken , Germany.
Eckart Meesea Institute of Human Genetics, Saarland University , Homburg , Germany.
Saarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MiRNAs play a central role in physiological and pathological processes. Both for the biological understanding and for their clinical application, it is essential to understand the interaction of miRNAs and their targets. Target identification largely hinges on in-silico prediction, which requires a complete consideration of miRNA binding sites within the UTRs of target genes. Here, we show that 5-mer sites might also play an essential role for human miRNA-target binding. We implemented and employed an algorithm to all pairs of 2,588 human miRNAs annotated in miRBase and the 3' UTRs of 16725 genes (>43 million combinations). Our in-silico analysis showed a highly significant enrichment (p = 1.4 × 10

Indexed as

3' Untranslated RegionsGenes, T-Cell Receptor alphaMicroRNAsComputer SimulationHEK293 CellsHumans3' Untranslated RegionsMicroRNAs5-mermiR-34amiRNAtargetingT-cell receptor alpha

Identifiers

PMID29749304
PMCPMC6152440
OpenAlexW2801693446

What OpenQuestion holds

Textmetadata
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.