Evidence map›Paper›PMID 29197992›Full record

ArticleMolecular biotechnology2018

Identification of Reference Genes for Analysis of microRNA Expression Patterns in Equine Chorioallantoic Membrane and Serum.

Pouya Dini, Shavahn C Loux, Kirsten E Scoggin, Alejandro Esteller-Vico, Edward L Squires, Mats H T Troedsson, Peter Daels, Barry A Ball

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Identification of hsa-miR-106a-5p as an impact agent on promotion of multiple sclerosis using multi-step data analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    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

8 authors at 2 institutions in 2 countries.

Pouya DiniDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Shavahn C LouxDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Kirsten E ScogginDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Alejandro Esteller-VicoDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Edward L SquiresDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Mats H T TroedssonDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Peter DaelsDepartment of Reproduction, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Barry A BallDepartment of Veterinary Science, University of Kentucky, Lexington, KY, USA. b.a.ball@uky.edu.ORCID http://orcid.org/0000-0002-0502-0276
University of Kentucky · USGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) have important posttranscriptional regulatory abilities, and there is considerable interest in evaluating their expression patterns in different pathophysiological states. The most common method of quantifying miRNA expression is quantitative reverse transcription PCR; however, the identification of tissue-specific and species-specific reference miRNA is a prerequisite for miRNA expression analysis. Currently, no reference genes have been described for evaluating miRNA expression in equine serum and chorioallantoic membrane (CAM) during pregnancy. The aim of the present study was to characterize reference genes for normalization of miRNA expression in CAM and serum in the pregnant equine. To identify the most stable miRNAs in serum, expression of potential candidates was evaluated in serum samples from diestrous mares, pregnant mares and geldings. To identify the most stable miRNAs in CAM, expression of potential candidates was evaluated in CAM, collected from mares at 4, 6 and 10 months of pregnancy and immediately postpartum. From a previously generated miRNA sequencing dataset, two separate lists of potential reference miRNAs were identified (serum and CAM) using the NormFinder program, in addition to the commonly used small RNA normalizers, 5S rRNA and U6 snRNA. The putative reference miRNAs were selected using geNorm and NormFinder. In case of a nonsignificant correlation between the results of ranking and stability value between these two programs, ranking from BestKeeper was also included. NormFinder and geNorm consistently identified eca-miR-21-5p, eca-let-7a-5p and eca-miR-10a-5p as the three most stable reference genes for the normalization of serum miRNAs. Within CAM samples, the average ranking obtained from the ranking of NormFinder, geNorm and BestKeeper identified eca-miR-8908a-1-5p, eca-miR-369-5p and eca-miR-106a-5p as the three most stable miRNAs. These observations provide information about equine-specific reference genes that can be used for normalizing miRNAs expression patterns in CAM and serum during the equine pregnancy.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsChorioallantoic MembraneFemaleHorsesMicroRNAsPregnancyReal-Time Polymerase Chain ReactionReference StandardsRNA, Small NuclearMicroRNAsRNA, Small NuclearU6 small nuclear RNAChorioallantoisEquinemicroRNAPregnancyReference geneSerum

Identifiers

PMID29197992
OpenAlexW2775761518

What OpenQuestion holds

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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.