Evidence map›Paper›PMID 39760255›Full record

ReviewRNA biology2025

Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction.

Martin Hart, Caroline Diener, Stefanie Rheinheimer, Tim Kehl, Andreas Keller, Hans-Peter Lenhof, Eckart Meese

Abstract readReview
In one paragraph

Review in RNA biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Martin HartInstitute of Human Genetics, Saarland University (USAAR), Homburg, Germany.
Caroline DienerInstitute of Human Genetics, Saarland University (USAAR), Homburg, Germany.
Stefanie RheinheimerInstitute of Human Genetics, Saarland University (USAAR), Homburg, Germany.
Tim KehlCenter for Bioinformatics, Saarland Informatics Campus, Saarland University (USAAR), Saarbrücken, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University (USAAR), Saarbrücken, Germany.
Hans-Peter LenhofCenter for Bioinformatics, Saarland Informatics Campus, Saarland University (USAAR), Saarbrücken, Germany.
Eckart MeeseInstitute of Human Genetics, Saarland University (USAAR), Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of a sufficient number of validated miRNA targets severely hampers the understanding of their biological function. Even for the well-studied miR-155-5p, there are only 239 experimentally validated targets out of 42,554 predicted targets. For a more complete assessment of the immune-related miR-155 targetome, we used an inverse correlation of time-resolved mRNA profiles and miR-155-5p expression of early CD4+ T cell activation to predict immune-related target genes. Using a high-throughput miRNA interaction reporter (HiTmIR) assay we examined 90 target genes and confirmed 80 genes as direct targets of miR-155-5p. Our study increases the current number of verified miR-155-5p targets approximately threefold and exemplifies a method for verifying miRNA targetomes as a prerequisite for the analysis of miRNA-regulated cellular networks.

Indexed as

CD4-Positive T-LymphocytesGene Expression RegulationMicroRNAsAnimalsComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansLymphocyte ActivationRNA, MessengerMicroRNAsMIRN155 microRNA, humanMirn155 microRNA, mouseRNA, MessengerCD4+ T cell activationmiR-155-5pmiRnomicstarget predictiontime-resolved RNA patternstranscriptomics

Identifiers

PMID39760255
PMCPMC11730359

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.