Evidence map›Paper›PMID 19779543›Full record

ArticlePLoS computational biology2009

Conserved expression patterns predict microRNA targets.

William Ritchie, Megha Rajasekhar, Stephane Flamant, John E J Rasko

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  13. Review
  14. Principles of miRNA-mRNA interactions: beyond sequence complementarity.Cellular and molecular life sciences : CMLS · 2015
    Review
  15. Article
  16. CNN3 is regulated by microRNA-1 during muscle development in pigs.International journal of biological sciences · 2014
    Article
  17. Regulation of the unfolded protein response by microRNAs.Cellular & molecular biology letters · 2013
    Review
  18. Regulation of angiogenesis by hypoxia: the role of microRNA.Cellular & molecular biology letters · 2013
    Review
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

William RitchieGene and Stem Cell Therapy Program, Centenary Institute, Camperdown, Australia.
Megha Rajasekhar
Stephane Flamant
John E J Rasko
University of Sydney · AURoyal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

microRNAs (miRNAs) are major regulators of gene expression and thereby modulate many biological processes. Computational methods have been instrumental in understanding how miRNAs bind to mRNAs to induce their repression but have proven inaccurate. Here we describe a novel method that combines expression data from human and mouse to discover conserved patterns of expression between orthologous miRNAs and mRNA genes. This method allowed us to predict thousands of putative miRNA targets. Using the luciferase reporter assay, we confirmed 4 out of 6 of our predictions. In addition, this method predicted many miRNAs that act as expression enhancers. We show that many miRNA enhancer effects are mediated through the repression of negative transcriptional regulators and that this effect could be as common as the widely reported repression activity of miRNAs. Our findings suggest that the indirect enhancement of gene expression by miRNAs could be an important component of miRNA regulation that has been widely neglected to date.

Indexed as

Gene Expression RegulationAnimalsComputational BiologyGene Expression ProfilingGenes, ReporterHeLa CellsHumansLuciferasesMiceMicroRNAsOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, MessengerROC CurveStatistics as TopicLuciferasesMicroRNAsRNA, Messenger

Identifiers

PMID19779543
PMCPMC2736581
OpenAlexW2012041376

What OpenQuestion 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 OpenQuestion graph.