Suitable reference genes for accurate gene expression analysis in Papaver rhoeas under 2,4-D herbicide stress

2017 ◽  
Vol 143 ◽  
pp. 66-72 ◽  
Author(s):  
L. Scarabel ◽  
A. Milani ◽  
S. Panozzo ◽  
A. Rasori
Lipids ◽  
2019 ◽  
Vol 54 (4) ◽  
pp. 231-244 ◽  
Author(s):  
Gleuber Henrique Marques‐Oliveira ◽  
Thaís Marques Silva ◽  
Helder Magno Silva Valadares ◽  
Helena Fonseca Raposo ◽  
Ruither de Oliveira Gomes Carolino ◽  
...  

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2428 ◽  
Author(s):  
Guanglin Niu ◽  
Yalan Yang ◽  
YuanYuan Zhang ◽  
Chaoju Hua ◽  
Zishuai Wang ◽  
...  

The selection of suitable reference genes is crucial to accurately evaluate and normalize the relative expression level of target genes for gene function analysis. However, commonly used reference genes have variable expression levels in developing skeletal muscle. There are few reports that systematically evaluate the expression stability of reference genes across prenatal and postnatal developing skeletal muscle in mammals. Here, we used quantitative PCR to examine the expression levels of 15 candidate reference genes (ACTB,GAPDH,RNF7,RHOA,RPS18,RPL32,PPIA,H3F3,API5,B2M,AP1S1,DRAP1,TBP,WSB, andVAPB) in porcine skeletal muscle at 26 different developmental stages (15 prenatal and 11 postnatal periods). We evaluated gene expression stability using the computer algorithms geNorm, NormFinder, and BestKeeper. Our results indicated thatGAPDHandACTBhad the greatest variability among the candidate genes across prenatal and postnatal stages of skeletal muscle development.RPS18,API5, andVAPBhad stable expression levels in prenatal stages, whereasAPI5,RPS18,RPL32, andH3F3had stable expression levels in postnatal stages.API5andH3F3expression levels had the greatest stability in all tested prenatal and postnatal stages, and were the most appropriate reference genes for gene expression normalization in developing skeletal muscle. Our data provide valuable information for gene expression analysis during different stages of skeletal muscle development in mammals. This information can provide a valuable guide for the analysis of human diseases.


2020 ◽  
Vol 47 (3) ◽  
pp. 1921-1933
Author(s):  
Xiangyu Long ◽  
Jilai Lu ◽  
Nat N. V. Kav ◽  
Yunxia Qin ◽  
Yongjun Fang

PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0218610
Author(s):  
Xiaojing Wu ◽  
Hongyan Yu ◽  
Rouwei Yang ◽  
Yuanyuan Zhou ◽  
Xiaofeng Zhu ◽  
...  

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