Evidence map›Paper›PMID 24465854›Full record

ArticlePloS one2014

Reference genes for real-time PCR quantification of messenger RNAs and microRNAs in mouse model of obesity.

Petra Matoušková, Hana Bártíková, Iva Boušová, Veronika Hanušová, Barbora Szotáková, Lenka Skálová

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.8field-weighted citation impact, top 6% 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, 58 citations in OpenAlex.

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  13. Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR.Journal of visualized experiments : JoVE · 2019
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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 1 institution in 1 country.

Petra MatouškováDepartment of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
Hana BártíkováDepartment of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
Iva BoušováDepartment of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
Veronika HanušováDepartment of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic ; Department of Medical Biology and Genetics, Charles University in Prague, Faculty of Medicine, Hradec Králové, Czech Republic.
Barbora SzotákováDepartment of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
Lenka SkálováDepartment of Biochemical Sciences, Charles University in Prague, Faculty of Pharmacy, Hradec Králové, Czech Republic.
Charles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and metabolic syndrome is increasing health problem worldwide. Among other ways, nutritional intervention using phytochemicals is important method for treatment and prevention of this disease. Recent studies have shown that certain phytochemicals could alter the expression of specific genes and microRNAs (miRNAs) that play a fundamental role in the pathogenesis of obesity. For study of the obesity and its treatment, monosodium glutamate (MSG)-injected mice with developed central obesity, insulin resistance and liver lipid accumulation are frequently used animal models. To understand the mechanism of phytochemicals action in obese animals, the study of selected genes expression together with miRNA quantification is extremely important. For this purpose, real-time quantitative PCR is a sensitive and reproducible method, but it depends on proper normalization entirely. The aim of present study was to identify the appropriate reference genes for mRNA and miRNA quantification in MSG mice treated with green tea catechins, potential anti-obesity phytochemicals. Two sets of reference genes were tested: first set contained seven commonly used genes for normalization of messenger RNA, the second set of candidate reference genes included ten small RNAs for normalization of miRNA. The expression stability of these reference genes were tested upon treatment of mice with catechins using geNorm, NormFinder and BestKeeper algorithms. Selected normalizers for mRNA quantification were tested and validated on expression of NAD(P)H: quinone oxidoreductase, biotransformation enzyme known to be modified by catechins. The effect of selected normalizers for miRNA quantification was tested on two obesity- and diabetes- related miRNAs, miR-221 and miR-29b, respectively. Finally, the combinations of B2M/18S/HPRT1 and miR-16/sno234 were validated as optimal reference genes for mRNA and miRNA quantification in liver and 18S/RPlP0/HPRT1 and sno234/miR-186 in small intestine of MSG mice. These reference genes will be used for mRNA and miRNA normalization in further study of green tea catechins action in obese mice.

Indexed as

GenesAlgorithmsAnimalsDisease Models, AnimalGene Expression ProfilingGene Expression RegulationMaleMiceMicroRNAsObesityReal-Time Polymerase Chain ReactionReference StandardsReproducibility of ResultsRNA, MessengerSoftwareMicroRNAsRNA, Messenger

Identifiers

PMID24465854
PMCPMC3895018
OpenAlexW2036308931

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.