Evidence map›Paper›PMID 23335783›Full record

ArticleNucleic acids research2013

Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function.

Petr V Nazarov, Susanne E Reinsbach, Arnaud Muller, Nathalie Nicot, Demetra Philippidou, Laurent Vallar, Stephanie Kreis

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

101 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.

  1. Pooled it
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  16. A review on methods for predicting miRNA-mRNA regulatory modules.Journal of integrative bioinformatics · 2022
    Review
  17. MicroRNAs in Genetic Etiology of Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  18. Review
  19. Article
  20. Review

41 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

7 authors at 2 institutions in 1 country.

Petr V NazarovGenomics Research Unit, Centre de Recherche Public de la Santé, L-1526 Luxembourg, Luxembourg.
Susanne E Reinsbach
Arnaud Muller
Nathalie Nicot
Demetra Philippidou
Laurent Vallar
Stephanie Kreis
University of Luxembourg · LULaboratoire National de Santé · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are ubiquitously expressed small non-coding RNAs that, in most cases, negatively regulate gene expression at the post-transcriptional level. miRNAs are involved in fine-tuning fundamental cellular processes such as proliferation, cell death and cell cycle control and are believed to confer robustness to biological responses. Here, we investigated simultaneously the transcriptional changes of miRNA and mRNA expression levels over time after activation of the Janus kinase/Signal transducer and activator of transcription (Jak/STAT) pathway by interferon-γ stimulation of melanoma cells. To examine global miRNA and mRNA expression patterns, time-series microarray data were analysed. We observed delayed responses of miRNAs (after 24-48 h) with respect to mRNAs (12-24 h) and identified biological functions involved at each step of the cellular response. Inference of the upstream regulators allowed for identification of transcriptional regulators involved in cellular reactions to interferon-γ stimulation. Linking expression profiles of transcriptional regulators and miRNAs with their annotated functions, we demonstrate the dynamic interplay of miRNAs and upstream regulators with biological functions. Finally, our data revealed network motifs in the form of feed-forward loops involving transcriptional regulators, mRNAs and miRNAs. Additional information obtained from integrating time-series mRNA and miRNA data may represent an important step towards understanding the regulatory principles of gene expression.

Indexed as

RNA InterferenceCell Line, TumorCluster AnalysisCytokinesGene Expression ProfilingGene Regulatory NetworksHumansInterferon-gammaInterferon Regulatory Factor-1MelanomaMicroRNAsMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisPrincipal Component AnalysisRNA, MessengerSignal TransductionCytokinesInterferon-gammaInterferon Regulatory Factor-1IRF1 protein, humanMicroRNAsRNA, MessengerSTAT1 protein, humanSTAT1 Transcription Factor

Identifiers

PMID23335783
PMCPMC3597666
OpenAlexW2087464689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.