Evidence map›Paper›PMID 36275473›Full record

ArticlePeerJ2022

Comparison of reference gene expression stability in mouse skeletal muscle via five algorithms.

Jianfeng Ma, Jingyun Chen, Mailin Gan, Lei Chen, Ye Zhao, Lili Niu, Yan Zhu, Shunhua Zhang, Xuewei Li, Zongyi Guo and 3 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 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

13 authors at 4 institutions in 1 country.

Jianfeng Ma *Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Jingyun Chen *Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Mailin GanDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Lei ChenDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Ye ZhaoDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Lili NiuDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Yan ZhuCollege of Life Science, China West Normal University, Nanchong, China.
Shunhua ZhangDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Xuewei LiDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Zongyi GuoChongqing Academy of Animal Science, Chongqing, China.
Jinyong WangChongqing Academy of Animal Science, Chongqing, China.
Li ZhuDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Linyuan ShenDepartment of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Sichuan Agricultural University · CNMinistry of Agriculture and Rural Affairs · CNChongqing Academy of Animal Science · CNChina West Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time quantitative PCR (RT-qPCR) is a widely applied technique for relative quantification of gene expression. In this context, the selection of a suitable reference gene (RG) is an essential step for obtaining reliable and biologically relevant RT-qPCR results. The present study aimed to determine the expression stability of commonly used RGs in mouse skeletal muscle tissue. The expression pattern of eight RGs (ACTB, GAPDH, HPRT, YWHAZ, B2M, PPIA, TUBA and 18S) were evaluated by RT-qPCR in different sample groups classified based on genetic background, muscle tissue type, and growth stage, as well as in a C2C12 myoblast cell line model. Five computational programs were included in the study (comparative ΔCq value, NormFinder, BestKeeper, geNorm, RefFinder) to evaluate the expression stability of RGs. Furthermore, the normalization effects of RGs in soleus (SOL) and gastrocnemius (GAS) muscle tissue were evaluated. Collectively, ACTB, HPRT and YWHAZ were shown to be the most stable RGs, while GADPH and 18S were the least stable. Therefore, the combined use of ACTB, HPRT and YWHAZ is recommended for the normalization of gene expression results in experiments with murine skeletal muscle. The results discussed herein provide a foundation for gene expression analysis by RT-qPCR in mammalian skeletal muscle.

Indexed as

AlgorithmsHypoxanthine PhosphoribosyltransferaseAnimalsGene ExpressionMammalsMiceMuscle, SkeletalReference StandardsHypoxanthine PhosphoribosyltransferaseGene expressionMiceReference gene selectionRT-qPCRSkeletal muscle

Identifiers

PMID36275473
PMCPMC9583855
OpenAlexW4306399017

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.