Evidence map›Paper›PMID 24964029›Full record

ArticlePloS one2014

Identification of endogenous reference genes for the analysis of microRNA expression in the hippocampus of the pilocarpine-induced model of mesial temporal lobe epilepsy.

Mykaella Andrade de Araújo, Thalita Ewellyn Batista Sales Marques, Jamile Taniele-Silva, Fernanda Maria de Araújo Souza, Tiago Gomes de Andrade, Norberto Garcia-Cairasco, Maria Luisa Paçó-Larson, Daniel Leite Góes Gitaí

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Mykaella Andrade de AraújoDepartment of Cell, Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Thalita Ewellyn Batista Sales MarquesDepartment of Cell, Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Jamile Taniele-SilvaDepartment of Cell, Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Fernanda Maria de Araújo SouzaDepartment of Cell, Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Tiago Gomes de AndradeCampus Arapiraca, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Norberto Garcia-CairascoDepartment of Physiology, Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Maria Luisa Paçó-LarsonDepartment of Cellular and Molecular Biology, Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Daniel Leite Góes GitaíDepartment of Cell, Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Universidade Federal de Alagoas · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time quantitative RT-PCR (qPCR) is one of the most powerful techniques for analyzing miRNA expression because of its sensitivity and specificity. However, in this type of analysis, a suitable normalizer is required to ensure that gene expression is unaffected by the experimental condition. To the best of our knowledge, there are no reported studies that performed a detailed identification and validation of suitable reference genes for miRNA qPCR during the epileptogenic process. Here, using a pilocarpine (PILO) model of mesial temporal lobe epilepsy (MTLE), we investigated five potential reference genes, performing a stability expression analysis using geNorm and NormFinder softwares. As a validation strategy, we used each one of the candidate reference genes to measure PILO-induced changes in microRNA-146a levels, a gene whose expression pattern variation in the PILO injected model is known. Our results indicated U6SnRNA and SnoRNA as the most stable candidate reference genes. By geNorm analysis, the normalization factor should preferably contain at least two of the best candidate reference genes (snoRNA and U6SnRNA). In fact, when normalized using the best combination of reference genes, microRNA-146a transcripts were found to be significantly increased in chronic stage, which is consistent with the pattern reported in different models. Conversely, when reference genes were individually employed for normalization, we failed to detect up-regulation of the microRNA-146a gene in the hippocampus of epileptic rats. The data presented here support that the combination of snoRNA and U6SnRNA was the minimum necessary for an accurate normalization of gene expression at the different stages of epileptogenesis that we tested.

Indexed as

AnimalsDisease Models, AnimalEpilepsy, Temporal LobeGene Expression ProfilingHippocampusMaleMicroRNAsPilocarpineRatsRats, WistarReal-Time Polymerase Chain ReactionReference StandardsReproducibility of ResultsMicroRNAsPilocarpine

Identifiers

PMID24964029
PMCPMC4070922
OpenAlexW2018163137

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LicenceCC BY
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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.