Evidence map›Paper›PMID 28338079›Full record

ArticleScientific reports2017

Dissecting miRNA gene repression on single cell level with an advanced fluorescent reporter system.

Nicolas Lemus-Diaz, Kai O Böker, Ignacio Rodriguez-Polo, Michael Mitter, Jasmin Preis, Maximilian Arlt, Jens Gruber

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Nucleolar Proteins and Non-Coding RNAs: Roles in Renal Cancer.International journal of molecular sciences · 2021
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
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.

Nicolas Lemus-DiazJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.
Kai O BökerJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.
Ignacio Rodriguez-PoloJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.
Michael MitterJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.
Jasmin PreisJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.
Maximilian ArltJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.
Jens GruberJunior Research Group Medical RNA Biology, German Primate Center, Kellnerweg 4, 37077 Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite major advances on miRNA profiling and target predictions, functional readouts for endogenous miRNAs are limited and frequently lead to contradicting conclusions. Numerous approaches including functional high-throughput and miRISC complex evaluations suggest that the functional miRNAome differs from the predictions based on quantitative sRNA profiling. To resolve the apparent contradiction of expression versus function, we generated and applied a fluorescence reporter gene assay enabling single cell analysis. This approach integrates and adapts a mathematical model for miRNA-driven gene repression. This model predicts three distinct miRNA-groups with unique repression activities (low, mid and high) governed not just by expression levels but also by miRNA/target-binding capability. Here, we demonstrate the feasibility of the system by applying controlled concentrations of synthetic siRNAs and in parallel, altering target-binding capability on corresponding reporter-constructs. Furthermore, we compared miRNA-profiles with the modeled predictions of 29 individual candidates. We demonstrate that expression levels only partially reflect the miRNA function, fitting to the model-projected groups of different activities. Furthermore, we demonstrate that subcellular localization of miRNAs impacts functionality. Our results imply that miRNA profiling alone cannot define their repression activity. The gene regulatory function is a dynamic and complex process beyond a minimalistic conception of "highly expressed equals high repression".

Indexed as

Down-RegulationHEK293 CellsHeLa CellsHumansMicroRNAsMicroscopy, FluorescenceSingle-Cell AnalysisTranscription, GeneticMicroRNAs

Identifiers

PMID28338079
PMCPMC5364550

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Registered trials

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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.