Selection of suitable reference genes for expression analysis in human glioma using RT-qPCR

2015 ◽  
Vol 123 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Susanne Grube ◽  
Tatjana Göttig ◽  
Diana Freitag ◽  
Christian Ewald ◽  
Rolf Kalff ◽  
...  
Genes ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 451 ◽  
Author(s):  
Junchao Zhang ◽  
Wengang Xie ◽  
Xinxuan Yu ◽  
Zongyu Zhang ◽  
Yongqiang Zhao ◽  
...  

Elymus sibiricus, which is a perennial and self-pollinated grass, is the typical species of the genus Elymus, which plays an important role in forage production and ecological restoration. No reports have, so far, systematically described the selection of optimal reference genes for reverse transcriptase quantitative real-time polymerase chain reaction (RT-qPCR) analysis in E. sibiricus. The goals of this study were to evaluate the expression stability of 13 candidate reference genes in different experimental conditions, and to determine the appropriate reference genes for gene expression analysis in E. sibiricus. Five methods including Delta Ct (ΔCt), BestKeeper, NormFinder, geNorm, and RefFinder were used to assess the expression stability of 13 potential reference genes. The results of the RefFinder analysis showed that TBP2 and HIS3 were the most stable reference genes in different genotypes. TUA2 and PP2A had the most stable expression in different developmental stages. TBP2 and PP2A were suitable reference genes in different tissues. Under salt stress, ACT2 and TBP2 were identified as the most stable reference genes. ACT2 and TUA2 showed the most stability under heat stress. For cold stress, PP2A and ACT2 presented the highest degree of expression stability. DNAJ and U2AF were considered as the most stable reference genes under osmotic stress. The optimal reference genes were selected to investigate the expression pattern of target gene CSLE6 in different conditions. This study provides suitable reference genes for further gene expression analysis using RT-qPCR in E. sibiricus.


2019 ◽  
Vol 46 (4) ◽  
pp. 4545-4553 ◽  
Author(s):  
Teng Cheng ◽  
Fenglin Zhu ◽  
Jiajing Sheng ◽  
Lingling Zhao ◽  
Fasong Zhou ◽  
...  

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 ◽  
...  

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