Evidence map›Paper›PMID 29386530›Full record

ArticleScientific reports2018

Identification of valid reference genes for mRNA and microRNA normalisation in prostate cancer cell lines.

Hui Zhao, Teng-Fei Ma, Jie Lin, Lin-Lin Liu, Wei-Jie Sun, Li-Xia Guo, Si-Qi Wang, Newton O Otecko, Ya-Ping Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  8. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
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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

9 authors at 3 institutions in 1 country.

Hui ZhaoState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China.
Teng-Fei MaState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China.
Jie LinSchool of Life Science, Yunnan University, Kunming, 650091, China.
Lin-Lin LiuState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China.
Wei-Jie SunState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China.
Li-Xia GuoState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China.
Si-Qi WangState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China.
Newton O OteckoState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals & Germplasm Bank of Wild Species, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
Ya-Ping ZhangState Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, China. zhangyp@mail.kiz.ac.cn.
Yunnan University · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RT-qPCR offers high sensitivity, for accurate interpretations of qPCR results however, normalisation using suitable reference genes is fundamental. Androgens can regulate transcriptional expression including reference gene expression in prostate cancer. In this study, we evaluated ten mRNA and six non-protein coding RNA reference genes in five prostate cell lines under varied dihydrotestosterone (DHT) treatments. We validated the effects of DHT-treatments using media containing charcoal-stripped serum prior to DHT stimulation on the test samples by Western blot experiments. Reference gene expression stability was analysed using three programs (geNorm, NormFinder and BestKeeper), and the recommended comprehensive ranking is provided. Our results reveal that ACTB and GAPDH, and miR-16 and miR-1228-3p are the most suitable mRNA and miRNA reference genes across all cell lines, respectively. Considering prostate cancer cell types, ACTB/GAPDH and ACTB/HPRT1 are the most suitable reference gene combinations for mRNA analysis, and miR-16/miR-1228-3p and RNU6-2/RNU43 for miRNA analysis in AR+, and AR- and normal cell lines, respectively. Comparison of relative target gene (PCA3 and miR-141) expression reveals different patterns depending on reference genes used for normalisation. To our knowledge, this is the first report on validation of reference genes under different DHT treatments in prostate cancer cells. This study provides insights for discovery of reliable DHT-regulated genes in prostate cells.

Indexed as

AlgorithmsCell Line, TumorDihydrotestosteroneGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroRNAsProstate-Specific AntigenProstatic NeoplasmsReal-Time Polymerase Chain ReactionReceptors, AndrogenReference StandardsReproducibility of ResultsRNA, MessengerSoftwareDihydrotestosteroneMicroRNAsProstate-Specific AntigenReceptors, AndrogenRNA, Messenger

Identifiers

PMID29386530
PMCPMC5792445
OpenAlexW2806842670

What OpenQuestion holds

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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.