Literature DB >> 25865298

Evaluation of housekeeping genes for normalizing real-time quantitative PCR assays in pig skeletal muscle at multiple developmental stages.

Yueying Wang1, Yuqiang Zhao1, Ji Li1, Huijing Liu1, Catherine W Ernst2, Xiaoran Liu3, Guorong Liu1, Yu Xi1, Minggang Lei4.   

Abstract

Quantitative PCR (qPCR) requires a constantly expressed housekeeping gene as an internal control, the expression of which is similar in different biological samples. In the present study, we evaluated the applicability and compared the consistency of the gene expression of 16 reference genes, i.e., 10 common and 6 candidate genes, through qPCR assays in pig skeletal muscles at multiple developmental stages. The stability of these 16 potential reference genes was investigated using the geNorm and NormFinder methods. Our results indicated that DRAP1 and RNF7 were the most appropriate combination to normalize gene expression in the Yorkshire samples, the combination of DRAP1 and WSB2 were appropriate in the Tongcheng samples, H3F3A and DRAP1 in prenatal periods, DRAP1 and RNF7 in postnatal periods, and the combination of DRAP1 and WSB2 was most suitable for accurate normalization in whole samples. This result provides a strong basis for similar studies in pigs that explore the molecular mechanisms underlying skeletal muscle development.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Multiple developmental stages; Pig; Reference gene; Skeletal muscle; q-PCR

Mesh:

Substances:

Year:  2015        PMID: 25865298     DOI: 10.1016/j.gene.2015.04.016

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  8 in total

1.  Comparative transcriptomic analysis of skeletal muscle tissue during prenatal stages in Tongcheng and Yorkshire pig using RNA-seq.

Authors:  Huijing Liu; Yu Xi; Guorong Liu; Yuqiang Zhao; Ji Li; Minggang Lei
Journal:  Funct Integr Genomics       Date:  2018-01-10       Impact factor: 3.410

2.  Selection and Validation of Housekeeping Genes as Reference for Gene Expression Studies in Pigeonpea (Cajanus cajan) under Heat and Salt Stress Conditions.

Authors:  Pallavi Sinha; Rachit K Saxena; Vikas K Singh; L Krishnamurthy; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2015-12-21       Impact factor: 5.753

3.  Evaluation of candidate reference genes for RT-qPCR studies in three metabolism related tissues of mice after caloric restriction.

Authors:  Huan Gong; Liang Sun; Beidong Chen; Yiwen Han; Jing Pang; Wei Wu; Ruomei Qi; Tie-Mei Zhang
Journal:  Sci Rep       Date:  2016-12-06       Impact factor: 4.379

4.  Identifying suitable reference genes for gene expression analysis in developing skeletal muscle in pigs.

Authors:  Guanglin Niu; Yalan Yang; YuanYuan Zhang; Chaoju Hua; Zishuai Wang; Zhonglin Tang; Kui Li
Journal:  PeerJ       Date:  2016-12-13       Impact factor: 2.984

5.  Identification of endogenous normalizing genes for expression studies in inguinal ring tissue for scrotal hernias in pigs.

Authors:  William Raphael Lorenzetti; Adriana Mercia Guaratini Ibelli; Jane de Oliveira Peixoto; Marcos Antonio Zanella Mores; Igor Ricardo Savoldi; Kamilla Bleil do Carmo; Haniel Cedraz de Oliveira; Mônica Corrêa Ledur
Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

6.  Selection and validation of suitable reference genes for qRT-PCR analysis in pear leaf tissues under distinct training systems.

Authors:  Zheng Liu; Kexin Cheng; Zhongqi Qin; Tao Wu; Xianming Li; Junfan Tu; Fuchen Yang; Hongyan Zhu; Li Yang
Journal:  PLoS One       Date:  2018-08-23       Impact factor: 3.240

7.  Selection of Reliable Reference Genes for RT-qPCR Analysis of Bursaphelenchus mucronatus Gene Expression From Different Habitats and Developmental Stages.

Authors:  Lifeng Zhou; Fengmao Chen; Jianren Ye; Hongyang Pan
Journal:  Front Genet       Date:  2018-07-23       Impact factor: 4.599

8.  A new set of reference housekeeping genes for the normalization RT-qPCR data from the intestine of piglets during weaning.

Authors:  Shujin Wang; Binxing Wang; Huan He; Aomin Sun; Chunhua Guo
Journal:  PLoS One       Date:  2018-09-26       Impact factor: 3.240

  8 in total

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