Evidence map›Paper›PMID 25874758›Full record

ArticleInternational journal of molecular sciences2015

Selection of reference genes for microRNA quantitative expression analysis in Chinese perch, Siniperca chuatsi.

Xin Zhu, Yu-Long Li, Dun-Xue Chen, Ping Wu, Tan Yi, Tao Chen, Jian-She Zhang, Wu-Ying Chu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

8 authors.

Xin ZhuDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. chentao@hunau.edu.cn.
Yu-Long LiDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. liyulong0801@163.com.
Dun-Xue ChenDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. chendunxue@163.com.
Ping WuDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. wuping055@163.com.
Tan YiDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. chentao@hunau.edu.cn.
Tao ChenCollege of Veterinary Medicine, Hunan Agriculture University, Changsha 410128, China. chentao@hunau.edu.cn.
Jian-She ZhangDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. jzhang@ccsu.cn.
Wu-Ying ChuDepartment of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China. chuwuying18@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time quantitative reverse transcription PCR (RT-qPCR) is one of the most effective and sensitive techniques in gene expression assay, for which selection of reference genes is a prerequisite. In teleost species, such as Chinese perch, the expression profiling of miRNAs as reference genes for RT-qPCR has not been intensively studied. In the present study, the expression profiles of six miRNAs (miR-101a, miR-146a, miR-22a, miR-23a, miR-26a and let-7a) and one small nuclear RNA (U6) were assayed with RT-qPCR in different adult tissues, developmental stages and growth conditions of Chinese perch, Siniperca chuatsi. The analyses revealed that embryonic developmental stage is an important variability factor in the expression stability of miRNAs. All six miRNAs exhibited better expression consistency than U6 in most of the conditions examined, and therefore, they may be more suitable as a reference gene for miRNA quantification. When different tissues and developmental stages were considered, miR-22a demonstrated the most consistent expression pattern, and the best combination of reference genes was miR-22a and miR-23a. Our study offers useful data for selecting miRNAs as reference genes for RT-qPCR analysis of miRNAs in teleost fishes under different conditions.

Indexed as

AnimalsGene Expression ProfilingMicroRNAsPerchesReal-Time Polymerase Chain ReactionReference StandardsRNA StabilityTranscriptomeMicroRNAs

Identifiers

PMID25874758
PMCPMC4425082

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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.