Evidence map›Paper›PMID 24631284›Full record

ArticleMolecular cell2014

Global analyses of the effect of different cellular contexts on microRNA targeting.

Jin-Wu Nam, Olivia S Rissland, David Koppstein, Cei Abreu-Goodger, Calvin H Jan, Vikram Agarwal, Muhammed A Yildirim, Antony Rodriguez, David P Bartel

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
231citing papers in PubMed, 3 pooled it
11.3field-weighted citation impact, top 1% 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

231 citing papers in PubMed, 3 syntheses or guidelines pooled it, 357 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. MiREDiBase: A Comprehensive Resource for miRNA Editing Events.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
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  20. Article

171 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 3 countries.

Jin-Wu Nam *Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Olivia S Rissland *Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
David KoppsteinWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Cei Abreu-GoodgerLaboratorio Nacional de Genómica para la Biodiversidad (Langebio), CINVESTAV, Irapuato, Guanajuato 36824, México.
Calvin H JanWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Vikram AgarwalWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Muhammed A YildirimWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Antony RodriguezDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
David P BartelWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Howard Hughes Medical Institute · USBaylor College of Medicine · USCentro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · MX

Funding

MicroRNA genes and their functionsR01GM067031 · NIGMS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI BARTEL, DAVID P · 2002 to 2015
$7.3M
Dissecting Translational Regulation by Genome-Wide Mapping of Initiation FactorsK99GM102319 · NIGMS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI RISSLAND, OLIVIA SELFRIDGE · 2012 to 2013
$178k
Howard Hughes Medical InstituteNIGMS NIH HHS K99 GM102319NIGMS NIH HHS R01 GM067031
6 · The paper itself

Abstract

MicroRNA (miRNA) regulation clearly impacts animal development, but the extent to which development-with its resulting diversity of cellular contexts-impacts miRNA regulation is unclear. Here, we compared cohorts of genes repressed by the same miRNAs in different cell lines and tissues and found that target repertoires were largely unaffected, with secondary effects explaining most of the differential responses detected. Outliers resulting from differential direct targeting were often attributable to alternative 3' UTR isoform usage that modulated the presence of miRNA sites. More inclusive examination of alternative 3' UTR isoforms revealed that they influence ∼10% of predicted targets when comparing any two cell types. Indeed, considering alternative 3' UTR isoform usage improved prediction of targeting efficacy significantly beyond the improvements observed when considering constitutive isoform usage. Thus, although miRNA targeting is remarkably consistent in different cell types, considering the 3' UTR landscape helps predict targeting efficacy and explain differential regulation that is observed.

Indexed as

3' Untranslated RegionsRNA StabilityCell Line, TumorGene Expression RegulationHEK293 CellsHeLa CellsHepatocytesHumansMicroRNAsOrgan SpecificityPolymorphism, GeneticSignal TransductionUridine3' Untranslated RegionsMicroRNAsUridine

Identifiers

PMID24631284
PMCPMC4062300
OpenAlexW2013310179

What OpenQuestion holds

Textmetadata
LicenceTDM
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.