Evidence map›Paper›PMID 23673373›Full record

ArticleRNA biology2013

Genome-wide identification of translationally inhibited and degraded miR-155 targets using RNA-interacting protein-IP.

Jan Meier, Volker Hovestadt, Marc Zapatka, Armin Pscherer, Peter Lichter, Martina Seiffert

Open access · hybridAbstract read
In one paragraph

Article in RNA biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  4. Experimental MicroRNA Targeting Validation.Methods in molecular biology (Clifton, N.J.) · 2022
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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

6 authors at 2 institutions in 2 countries.

Jan MeierGerman Cancer Research Center, Division of Molecular Genetics, Heidelberg, Germany.
Volker Hovestadt
Marc Zapatka
Armin Pscherer
Peter Lichter
Martina Seiffert
Heidelberg University · DELaboratory of Molecular Genetics · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are single-stranded, small, non-coding RNAs, which fine-tune protein expression by degrading and/or translationally inhibiting mRNAs. Manipulation of miRNA expression in animal models frequently results in severe phenotypes indicating their relevance in controlling cellular functions, most likely by interacting with multiple targets. To better understand the effect of miRNA activities, genome-wide analysis of their targets are required. MicroRNA profiling as well as transcriptome analysis upon enforced miRNA expression were frequently used to investigate their relevance. However, these approaches often fail to identify relevant miRNAs targets. Therefore, we tested the precision of RNA-interacting protein immunoprecipitation (RIP) using AGO2-specific antibodies, a core component of the "RNA-induced silencing complex" (RISC), followed by RNA sequencing (Seq) in a defined cellular system, the HEK293T cells with stable, ectopic expression of miR-155. Thereby, we identified 100 AGO2-associated mRNAs in miR-155-expressing cells, of which 67 were in silico predicted miR-155 target genes. An integrated analysis of the corresponding expression profiles indicated that these targets were either regulated by mRNA decay or by translational repression. Of the identified miR-155 targets, 17 were related to cell cycle control, suggesting their involvement in the observed increase in cell proliferation of HEK293T cells upon miR-155 expression. Additional, secondary changes within the gene expression profile were detected and might contribute to this phenotype as well. Interestingly, by analyzing RIP-Seq data of HEK-293T cells and two B-cell lines we identified a recurrent disproportional enrichment of several miRNAs, including miR-155 and miRNAs of the miR-17-92 cluster, in the AGO2-associated precipitates, suggesting discrepancies in miRNA expression and activity.

Indexed as

RNA StabilityArgonaute ProteinsCell CycleCell ProliferationCells, CulturedGene Expression ProfilingGene Expression RegulationHEK293 CellsHumansMicroRNAsRNA-Induced Silencing ComplexRNA, Long NoncodingRNA, MessengerSequence Analysis, RNAAGO2 protein, humanArgonaute ProteinsMicroRNAsMIR17HG, humanMIRN155 microRNA, humanRNA-Induced Silencing ComplexRNA, Long NoncodingRNA, MessengerAGO2-IPmiR-155miRNA activitymiRNA target profilingRIP-Seqtranslational inhibition

Identifiers

PMID23673373
PMCPMC4111730
OpenAlexW2062162917

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.