Evidence map›Paper›PMID 25743365›Full record

ArticleFish physiology and biochemistry2015

Evaluation of potential internal references for quantitative real-time RT-PCR normalization of gene expression in red drum (Sciaenops ocellatus).

Bo-Guang Sun, Yong-Hua Hu

Abstract read
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Article in Fish physiology and biochemistry, 2015. 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
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 12 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

2 authors at 1 institution in 1 country.

Bo-Guang SunKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao, 266071, People's Republic of China.
Yong-Hua Hu
Institute of Oceanology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) has been used extensively for studying gene expression in diverse organisms including fish. In this study, with an aim to identify reliable reference genes for qRT-PCR in red drum (Sciaenops ocellatus), an economic fish species, we determined the expression stability of seven housekeeping genes in healthy and bacterium-infected red drum. Each of the selected candidate genes was amplified by qRT-PCR from the brain, gill, heart, intestine, kidney, liver, muscle, and spleen of red drum infected with or without a bacterial pathogen for 12 and 48 h. The mRNA levels of the genes were analyzed with the geNorm and NormFinder algorithms. The results showed that in the absence of bacterial infection, translation initiation factor 3, NADH dehydrogenase 1, and QM-like protein may be used together as internal references across the eight examined tissues. Bacterial infection caused variations in the rankings of the most stable genes in a tissue-dependent manner. For all tissues, two genes sufficed for reliable normalization at both 12 and 48 h post-infection. However, the optimal gene pairs differed among tissues and, for four of the examined eight tissues, between infection points. These results indicate that when studying gene expression in red drum under conditions of bacterial infection, the optimal reference genes should be selected on the basis of tissue type and, for accurate normalization, infection stage.

Indexed as

AnimalsBrainElectron Transport Complex IGene Expression RegulationGenes, EssentialGillsMuscle, SkeletalPerciformesProkaryotic Initiation Factor-3Real-Time Polymerase Chain ReactionReference StandardsRNA, MessengerVisceraElectron Transport Complex IProkaryotic Initiation Factor-3RNA, Messenger

Identifiers

PMID25743365
OpenAlexW2050027558

What OpenQuestion holds

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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.