Evidence map›Paper›PMID 26270642›Full record

ArticlePloS one2015

Integrative Analysis of MicroRNA and mRNA Data Reveals an Orchestrated Function of MicroRNAs in Skeletal Myocyte Differentiation in Response to TNF-α or IGF1.

Swanhild U Meyer, Steffen Sass, Nikola S Mueller, Stefan Krebs, Stefan Bauersachs, Sebastian Kaiser, Helmut Blum, Christian Thirion, Sabine Krause, Fabian J Theis and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Circular RNAThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
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  15. Review
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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

11 authors at 3 institutions in 1 country.

Swanhild U MeyerPhysiology Weihenstephan, Technische Universität München, Freising, Germany.
Steffen SassInstitute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Nikola S MuellerInstitute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Stefan KrebsLaboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany.
Stefan BauersachsLaboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany.
Sebastian KaiserDepartment of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany.
Helmut BlumLaboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany.
Christian ThirionSIRION Biotech GmbH, Martinsried, Germany.
Sabine KrauseFriedrich-Baur-Institute, Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Department of Mathematics, Technische Universität München, Garching, Germany.
Michael W PfafflPhysiology Weihenstephan, Technische Universität München, Freising, Germany.
Ludwig-Maximilians-Universität München · DEHelmholtz Zentrum München · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSkeletal muscle cell differentiation is impaired by elevated levels of the inflammatory cytokine tumor necrosis factor-α (TNF-α) with pathological significance in chronic diseases or inherited muscle disorders. Insulin like growth factor-1 (IGF1) positively regulates muscle cell differentiation. Both, TNF-α and IGF1 affect gene and microRNA (miRNA) expression in this process. However, computational prediction of miRNA-mRNA relations is challenged by false positives and targets which might be irrelevant in the respective cellular transcriptome context. Thus, this study is focused on functional information about miRNA affected target transcripts by integrating miRNA and mRNA expression profiling data. METHODOLOGY/PRINCIPAL

findingsMurine skeletal myocytes PMI28 were differentiated for 24 hours with concomitant TNF-α or IGF1 treatment. Both, mRNA and miRNA expression profiling was performed. The data-driven integration of target prediction and paired mRNA/miRNA expression profiling data revealed that i) the quantity of predicted miRNA-mRNA relations was reduced, ii) miRNA targets with a function in cell cycle and axon guidance were enriched, iii) differential regulation of anti-differentiation miR-155-5p and miR-29b-3p as well as pro-differentiation miR-335-3p, miR-335-5p, miR-322-3p, and miR-322-5p seemed to be of primary importance during skeletal myoblast differentiation compared to the other miRNAs, iv) the abundance of targets and affected biological processes was miRNA specific, and v) subsets of miRNAs may collectively regulate gene expression.

conclusionsJoint analysis of mRNA and miRNA profiling data increased the process-specificity and quality of predicted relations by statistically selecting miRNA-target interactions. Moreover, this study revealed miRNA-specific predominant biological implications in skeletal muscle cell differentiation and in response to TNF-α or IGF1 treatment. Furthermore, myoblast differentiation-associated miRNAs are suggested to collectively regulate gene clusters and targets associated with enriched specific gene ontology terms or pathways. Predicted miRNA functions of this study provide novel insights into defective regulation at the transcriptomic level during myocyte proliferation and differentiation due to inflammatory stimuli.

Indexed as

AnimalsCell DifferentiationCell LineGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksInsulin-Like Growth Factor IMiceMicroRNAsMultigene FamilyMuscle Fibers, SkeletalRNA, MessengerTumor Necrosis Factor-alphaInsulin-Like Growth Factor IMicroRNAsRNA, MessengerTumor Necrosis Factor-alpha

Identifiers

PMID26270642
PMCPMC4536022
OpenAlexW1160621858

What OpenQuestion holds

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LicenceCC BY
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.