Evidence map›Paper›PMID 25714103›Full record

ArticlePLoS genetics2015

microRNAs regulate cell-to-cell variability of endogenous target gene expression in developing mouse thymocytes.

Rory Blevins, Ludovica Bruno, Thomas Carroll, James Elliott, Antoine Marcais, Christina Loh, Arnulf Hertweck, Azra Krek, Nikolaus Rajewsky, Chang-Zheng Chen and 2 more

Abstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. T-ALL and thymocytes: a message of noncoding RNAs.Journal of hematology & oncology · 2017
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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

12 authors.

Rory BlevinsMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
Ludovica BrunoMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
Thomas CarrollMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
James ElliottMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
Antoine MarcaisMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
Christina LohDepartment of Microbiology and Immunology and Baxter Laboratory for Stem Cell Biology, Stanford University School of Medicine, Stanford, California, United States of America.
Arnulf HertweckMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
Azra KrekSystems Biology of Gene Regulatory Elements, Max Delbrück Center Berlin, Berlin, Germany.
Nikolaus RajewskySystems Biology of Gene Regulatory Elements, Max Delbrück Center Berlin, Berlin, Germany.
Chang-Zheng ChenDepartment of Microbiology and Immunology and Baxter Laboratory for Stem Cell Biology, Stanford University School of Medicine, Stanford, California, United States of America.
Amanda G FisherMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.
Matthias MerkenschlagerMRC Clinical Sciences Centre, Imperial College London, London, United Kingdom.

Funding

Medical Research Council MC_U120027516
6 · The paper itself

Abstract

The development and homeostasis of multicellular organisms relies on gene regulation within individual constituent cells. Gene regulatory circuits that increase the robustness of gene expression frequently incorporate microRNAs as post-transcriptional regulators. Computational approaches, synthetic gene circuits and observations in model organisms predict that the co-regulation of microRNAs and their target mRNAs can reduce cell-to-cell variability in the expression of target genes. However, whether microRNAs directly regulate variability of endogenous gene expression remains to be tested in mammalian cells. Here we use quantitative flow cytometry to show that microRNAs impact on cell-to-cell variability of protein expression in developing mouse thymocytes. We find two distinct mechanisms that control variation in the activation-induced expression of the microRNA target CD69. First, the expression of miR-17 and miR-20a, two members of the miR-17-92 cluster, is co-regulated with the target mRNA Cd69 to form an activation-induced incoherent feed-forward loop. Another microRNA, miR-181a, acts at least in part upstream of the target mRNA Cd69 to modulate cellular responses to activation. The ability of microRNAs to render gene expression more uniform across mammalian cell populations may be important for normal development and for disease.

Indexed as

AnimalsCell Line, TumorCell SurvivalFlow CytometryGene Expression Regulation, DevelopmentalHematopoiesisMiceMicroRNAsProtein BiosynthesisRNA, MessengerThymocytesMicroRNAsRNA, Messenger

Identifiers

PMID25714103
PMCPMC4340958

What OpenQuestion holds

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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.