Evidence map›Paper›PMID 30047037›Full record

ArticleMolecular biology reports2018

Identification of endogenous microRNA references in porcine serum for quantitative real-time PCR normalization.

In-Seon Bae, Kang-Seok Seo, Sang Hoon Kim

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Article in Molecular biology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

3 authors.

In-Seon BaeDepartment of Biology, Kyung Hee University, Seoul, 02447, Republic of Korea.
Kang-Seok SeoDepartment of Animal Science and Technology, Sunchon National University, Sunchon, Jeollanam-do, 540-950, Republic of Korea. sks@sunchon.ac.kr.
Sang Hoon KimDepartment of Biology, Kyung Hee University, Seoul, 02447, Republic of Korea. shkim@khu.ac.kr.

Funding

Rural Development Administration (RDA), Republic of Korea the Cooperative Research Program for Agriculture Science and Technology Development (No. PJ012704012018)
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are evolutionarily conserved small non-coding RNAs that regulate the expression of genes, and they affect important biological and physiological states. Circulating miRNAs in blood are useful markers of metabolism and economic traits. Expression levels of circulating miRNAs have been estimated using quantitative real-time PCR (qPCR). Proper normalization is critical for accurate miRNA expression analysis. However, there is no study which systematically presented endogenous reference genes for evaluating circulating miRNA expression in pigs. In this study, ten porcine miRNAs (let-7a, miR-16, miR-17, miR-23a, miR-26a, miR-93, miR-103, miR-107, miR-127 and miR-191), based on the literature, were chosen as candidate reference miRNAs in serum. We evaluated the expression stability value of these miRNAs in Berkshire, Duroc, Landrace and Yorkshire pigs using geNorm and NormFinder. We determined the optimal combination of reference miRNAs for qPCR experiments: miR-127 and miR-17 in Berkshire pigs; miR-127 and miR-93 in Duroc and Landrace pigs; miR-127 and miR-16 in Yorkshire pigs. miR-127 was the best reference gene in pigs, regardless of the breed. Our study is crucial for the discovery of novel biomarkers in pigs. The reference miRNAs presented in this study could be used as appropriate reference genes for the measurement of circulating miRNA levels in studies of physiological blood metabolites.

Indexed as

AnimalsGene Expression ProfilingMicroRNAsReal-Time Polymerase Chain ReactionReference StandardsSwineMicroRNAsBloodMicroRNAPigReference gene

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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.