Evidence map›Paper›PMID 23028787›Full record

ArticlePloS one2012

Comparison of microarray platforms for measuring differential microRNA expression in paired normal/cancer colon tissues.

Maurizio Callari, Matteo Dugo, Valeria Musella, Edoardo Marchesi, Giovanna Chiorino, Maurizia Mello Grand, Marco Alessandro Pierotti, Maria Grazia Daidone, Silvana Canevari, Loris De Cecco

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
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  11. MicroRNAs as biomarkers for liver injury: Current knowledge, challenges and future prospects.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017
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  19. MicroRNAs as lung cancer biomarkers.World journal of clinical oncology · 2014
    Review
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Maurizio CallariFunctional Genomics Core Facility, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Matteo Dugo
Valeria Musella
Edoardo Marchesi
Giovanna Chiorino
Maurizia Mello Grand
Marco Alessandro Pierotti
Maria Grazia Daidone
Silvana Canevari
Loris De Cecco
Fondazione IRCCS Istituto Nazionale dei Tumori · ITFondazione Edo ed Elvo Tempia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroarray technology applied to microRNA (miRNA) profiling is a promising tool in many research fields; nevertheless, independent studies characterizing the same pathology have often reported poorly overlapping results. miRNA analysis methods have only recently been systematically compared but only in few cases using clinical samples. METHODOLOGY/PRINCIPAL

findingsWe investigated the inter-platform reproducibility of four miRNA microarray platforms (Agilent, Exiqon, Illumina, and Miltenyi), comparing nine paired tumor/normal colon tissues. The most concordant and selected discordant miRNAs were further studied by quantitative RT-PCR. Globally, a poor overlap among differentially expressed miRNAs identified by each platform was found. Nevertheless, for eight miRNAs high agreement in differential expression among the four platforms and comparability to qRT-PCR was observed. Furthermore, most of the miRNA sets identified by each platform are coherently enriched in data from the other platforms and the great majority of colon cancer associated miRNA sets derived from the literature were validated in our data, independently from the platform. Computational integration of miRNA and gene expression profiles suggested that anti-correlated predicted target genes of differentially expressed miRNAs are commonly enriched in cancer-related pathways and in genes involved in glycolysis and nutrient transport.

conclusionsTechnical and analytical challenges in measuring miRNAs still remain and further research is required in order to increase consistency between different microarray-based methodologies. However, a better inter-platform agreement was found by looking at miRNA sets instead of single miRNAs and through a miRNAs - gene expression integration approach.

Indexed as

Gene Expression Regulation, NeoplasticCluster AnalysisColonColonic NeoplasmsGene Expression ProfilingHumansMicroRNAsOligonucleotide Array Sequence AnalysisReference StandardsReverse Transcriptase Polymerase Chain ReactionMicroRNAs

Identifiers

PMID23028787
PMCPMC3441572
OpenAlexW2027618358

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.