Evidence map›Paper›PMID 31311583›Full record

ArticleJournal for immunotherapy of cancer2019

miR-34a as hub of T cell regulation networks.

Martin Hart, Barbara Walch-Rückheim, Lena Krammes, Tim Kehl, Stefanie Rheinheimer, Tanja Tänzer, Birgit Glombitza, Martina Sester, Hans-Peter Lenhof, Andreas Keller and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 50 citations in OpenAlex.

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  6. miR-335-5p Inhibits EMT and PI3K/AKT Pathways via MARCH8.Indian journal of clinical biochemistry : IJCB · 2025
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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 4 institutions in 5 countries.

Martin HartInstitute of Human Genetics, Saarland University, Building 60, 66421, Homburg, Germany. martin.hart@uks.eu.ORCID 0000-0001-9361-8106
Barbara Walch-RückheimInstitute of Virology and Center of Human and Molecular Biology, Saarland University, 66421, Homburg, Germany.
Lena KrammesInstitute of Human Genetics, Saarland University, Building 60, 66421, Homburg, Germany.
Tim KehlCenter for Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Stefanie RheinheimerInstitute of Human Genetics, Saarland University, Building 60, 66421, Homburg, Germany.
Tanja TänzerInstitute of Virology and Center of Human and Molecular Biology, Saarland University, 66421, Homburg, Germany.
Birgit GlombitzaInstitute of Virology and Center of Human and Molecular Biology, Saarland University, 66421, Homburg, Germany.
Martina SesterDepartment of Transplant and Infection Immunology, Saarland University, 66421, Homburg, Germany.
Hans-Peter LenhofCenter for Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Eckart MeeseInstitute of Human Genetics, Saarland University, Building 60, 66421, Homburg, Germany.
Saarland University · DEInstitute of Bioinformatics · INInstitute of Human Virology · NGInstitute of Human Genetics · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicro(mi)RNAs are increasingly recognized as central regulators of immune cell function. While it has been predicted that miRNAs have multiple targets, the majority of these predictions still await experimental confirmation. Here, miR-34a, a well-known tumor suppressor, is analyzed for targeting genes involved in immune system processes of leucocytes.

methodsUsing an in-silico approach, we combined miRNA target prediction with GeneTrail2, a web tool for Multi-omics enrichment analysis, to identify miR-34a target genes, which are involved in the immune system process subcategory of Gene Ontology.

resultsOut of the 193 predicted target genes in this subcategory we experimentally tested 22 target genes and confirmed binding of miR-34a to 14 target genes including VAMP2, IKBKE, MYH9, MARCH8, KLRK1, CD11A, TRAFD1, CCR1, PYDC1, PRF1, PIK3R2, PIK3CD, AP1B1, and ADAM10 by dual luciferase assays. By transfecting Jurkat, primary CD4

conclusionsBy simultaneous targeting of 14 mRNAs miR-34a acts as major hub of T cell regulatory networks suggesting to utilize miR-34a as target of intervention towards a modulation of the immune responsiveness of T-cells in a broad tumor context.

Indexed as

Gene Regulatory NetworksCD11a AntigenComputer SimulationGene OntologyHEK293 CellsHumansJurkat CellsMicroRNAsT-Lymphocytes, RegulatoryVesicle-Associated Membrane Protein 2CD11a AntigenMicroRNAsMIRN34 microRNA, humanVAMP2 protein, humanVesicle-Associated Membrane Protein 2CD4 + & CD8+ T cellsImmune system process, CD11AmiR-34aVAMP2

Identifiers

PMID31311583
PMCPMC6636054
OpenAlexW2961735909

What Socratic holds

Textmetadata
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 Socratic graph.