Evidence map›Paper›PMID 24973947›Full record

ArticleNature methods2014

Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study.

Pieter Mestdagh, Nicole Hartmann, Lukas Baeriswyl, Ditte Andreasen, Nathalie Bernard, Caifu Chen, David Cheo, Petula D'Andrade, Mike DeMayo, Lucas Dennis and 26 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2014. 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 353 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
353citing papers in PubMed, 4 pooled it
28.7field-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

353 citing papers in PubMed, 4 syntheses or guidelines pooled it, 625 citations in OpenAlex.

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  5. Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.Translational research : the journal of laboratory and clinical medicine · 2021
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293 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors at 10 institutions in 5 countries.

Pieter MestdaghCenter for Medical Genetics, Ghent University, Ghent, Belgium.
Nicole HartmannNovartis Institutes of Biomedical Research, Basel, Switzerland.
Lukas BaeriswylNovartis Institutes of Biomedical Research, Basel, Switzerland.
Ditte AndreasenExiqon, Vedbaek, Denmark.ORCID 0000000170453118
Nathalie BernardLife Technologies, South San Francisco, California, USA.
Caifu ChenLife Technologies, South San Francisco, California, USA.
David CheoQuanta Biosciences, Inc., Gaithersburg, Maryland, USA.
Petula D'AndradeAgilent Technologies, Inc., Santa Clara, California, USA.
Mike DeMayoAffymetrix, Santa Clara, California, USA.
Lucas DennisNanoString Technologies, Seattle, Washington, USA.
Stefaan DerveauxWaferGen, San Francisco, California, USA.
Yun FengQuanta Biosciences, Inc., Gaithersburg, Maryland, USA.
Stephanie Fulmer-SmentekAgilent Technologies, Inc., Santa Clara, California, USA.
Bernhard GerstmayerMiltenyi Biotec, Bergisch Gladbach, Germany.
Julia GouffonAffymetrix, Santa Clara, California, USA.
Chris GrimleyNanoString Technologies, Seattle, Washington, USA.
Eric LaderQiagen, Fredrick, Maryland, USA.
Kathy Y LeeLife Technologies, South San Francisco, California, USA.
Shujun LuoIllumina, Hayward, California, USA.
Peter MouritzenExiqon, Vedbaek, Denmark.
Aishwarya NarayananStrand Life Sciences, Bangalore, India.
Sunali PatelLife Technologies, South San Francisco, California, USA.
Sabine PeifferMiltenyi Biotec, Bergisch Gladbach, Germany.
Silvia RübergMiltenyi Biotec, Bergisch Gladbach, Germany.
Gary SchrothIllumina, Hayward, California, USA.
Dave SchusterQuanta Biosciences, Inc., Gaithersburg, Maryland, USA.
Jonathan M ShafferQiagen, Fredrick, Maryland, USA.
Elliot J SheltonLife Technologies, South San Francisco, California, USA.
Scott SilveriaWaferGen, San Francisco, California, USA.
Umberto UlmanellaLife Technologies, South San Francisco, California, USA.
Vamsi VeeramachaneniStrand Life Sciences, Bangalore, India.
Frank StaedtlerNovartis Institutes of Biomedical Research, Basel, Switzerland.
Thomas PetersNovartis Institutes of Biomedical Research, Basel, Switzerland.
Toumy GuettoucheCenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, USA.
Linda WongLife Technologies, South San Francisco, California, USA.
Jo VandesompeleCenter for Medical Genetics, Ghent University, Ghent, Belgium.ORCID 0000000162740184
Novartis (Switzerland) · CHMiltenyi Biotec (Germany) · DEQuanta Technology (United States) · USAgilent Technologies (United States) · USGhent University Hospital · BEIllumina (United States) · USNanostring Technologies (United States) · USQiagen (United States) · USStrand Life Sciences (India) · INChildren's Hospital of Philadelphia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are important negative regulators of protein-coding gene expression and have been studied intensively over the past years. Several measurement platforms have been developed to determine relative miRNA abundance in biological samples using different technologies such as small RNA sequencing, reverse transcription-quantitative PCR (RT-qPCR) and (microarray) hybridization. In this study, we systematically compared 12 commercially available platforms for analysis of microRNA expression. We measured an identical set of 20 standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples and synthetic spikes from microRNA family members with varying homology. We developed robust quality metrics to objectively assess platform performance in terms of reproducibility, sensitivity, accuracy, specificity and concordance of differential expression. The results indicate that each method has its strengths and weaknesses, which help to guide informed selection of a quantitative microRNA gene expression platform for particular study goals.

Indexed as

Quality ControlMicroRNAsReproducibility of ResultsMicroRNAs

Identifiers

PMID24973947
OpenAlexW1982810690

What OpenQuestion holds

Textmetadata
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.