Evidence map›Paper›PMID 23709276›Full record

ArticleRNA (New York, N.Y.)2013

The use of miRNA microarrays for the analysis of cancer samples with global miRNA decrease.

Di Wu, Yifang Hu, Stephen Tong, Bryan R G Williams, Gordon K Smyth, Michael P Gantier

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed, 69 citations in OpenAlex.

  1. Trial
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  9. Metabolite-mediated TOR signaling regulates the circadian clock inProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
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  12. Article
  13. c-Myc is a novelThe Journal of biological chemistry · 2018
    Article
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  15. Article
  16. Stress-induced changes in miRNA biogenesis and functioning.Cellular and molecular life sciences : CMLS · 2018
    Review
  17. Article
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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 4 institutions in 2 countries.

Di WuCentre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria 3168, Australia.
Yifang Hu
Stephen Tong
Bryan R G Williams
Gordon K Smyth
Michael P Gantier
Monash University · AUThe University of Melbourne · AUHarvard University · USWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have established that mutations or deletions in microRNA (miRNA) processing enzymes resulting in a global decrease of miRNA expression are frequent across cancers and can be associated with a poorer prognosis. While very popular in miRNA profiling studies, it remains unclear whether miRNA microarrays are suited or not to accurately detecting global miRNA decreases seen in cancers. In this work, we analyzed the miRNA profiles of samples with global miRNA decreases using Affymetrix miRNA microarrays following the inducible genetic deletion of Dicer1. Surprisingly, up to a third of deregulated miRNAs identified upon Dicer1 depletion were found to be up-regulated following standard robust multichip average (RMA) background correction and quantile normalization, indicative of normalization bias. Our comparisons of five preprocess steps performed at the probe level demonstrated that the use of cyclic loess relying on non-miRNA small RNAs present on the Affymetrix platform significantly improved specificity and sensitivity of detection of decreased miRNAs. These findings were validated in samples from patients with prostate cancer, where conjugation of robust normal-exponential background correction with cyclic loess normalization and array weights correctly identified the greatest number of decreased miRNAs, and the lowest amount of false-positive up-regulated miRNAs. These findings highlight the importance of miRNA microarray normalization for the detection of miRNAs that are truly differentially expressed and suggest that the use of cyclic loess based on non-miRNA small RNAs can help to improve the sensitivity and specificity of miRNA profiling in cancer samples with global miRNA decrease.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsComputational BiologyDEAD-box RNA HelicasesDown-RegulationFibroblastsGene DeletionHumansMaleMiceMicroRNAsOligonucleotide Array Sequence AnalysisProstatic NeoplasmsRibonuclease IIIRNA, NeoplasmRNA ProbesDEAD-box RNA HelicasesDicer1 protein, mouseMicroRNAsRibonuclease IIIRNA, NeoplasmRNA ProbesDicer1microRNAmiRNA microarraynormalization

Identifiers

PMID23709276
PMCPMC3683922
OpenAlexW2107706017

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.