Impact of reference gene selection for type 2 cannabinoid receptor gene expression studies in human spermatozoa

Andrologia ◽  
2012 ◽  
Vol 45 (4) ◽  
pp. 278-284 ◽  
Author(s):  
A. A. Amoako ◽  
A. K. Gebeh ◽  
E. L. Marczylo ◽  
J. M. Willets ◽  
J. Elson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Gene ◽  
Gene Selection ◽  
Cannabinoid Receptor ◽  
Receptor Gene ◽  
Expression Studies ◽  
Selection For ◽  
Gene Expression Studies ◽  
Receptor Gene Expression

scholarly journals Reference gene selection for gene expression studies using RT-qPCR in virus-infected planthoppers

2011 ◽  
Vol 8 (1) ◽  
pp. 308 ◽  
Author(s):  
Guillermo A Maroniche ◽  
Mónica Sagadín ◽  
Vanesa C Mongelli ◽  
Graciela A Truol ◽  
Mariana del Vas
Keyword(s):  
Gene Expression ◽  
Reference Gene ◽  
Gene Selection ◽  
Reference Gene Selection ◽  
Expression Studies ◽  
Selection For ◽  
Gene Expression Studies

scholarly journals Reference gene selection for head and neck squamous cell carcinoma gene expression studies

2009 ◽  
Vol 10 (1) ◽  
pp. 78 ◽  
Author(s):  
Benjamin Lallemant ◽  
Alexandre Evrard ◽  
Christophe Combescure ◽  
Heliette Chapuis ◽  
Guillaume Chambon ◽  
...  
Keyword(s):  
Gene Expression ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Reference Gene ◽  
Squamous Cell ◽  
Gene Selection ◽  
Expression Studies ◽  
Selection For ◽  
Gene Expression Studies

scholarly journals Selection and Validation of Appropriate Reference Genes for Gene Expression Studies in Schima Superba

2021 ◽  
Author(s):  
Zhongyi Yang ◽  
Rui Zhang ◽  
Zhichun Zhou
Keyword(s):  
Gene Expression ◽  
Reference Gene ◽  
Reference Genes ◽  
Geometric Mean ◽  
Gene Transcript ◽  
Expression Stability ◽  
Schima Superba ◽  
Expression Studies ◽  
Gene Expression Studies ◽  
Different Tissues

Abstract Background Quantitative real-time PCR (qRT-PCR) is a reliable and high-throughput technique for gene expression studies, but its accuracy depends on the expression stability of reference genes. Schima superba is a strong resistance and fast-growing timber specie. However, so far, reliable reference gene identifications have not been reported in S. superba. In this study, we screened and verified the stably expressed reference genes in different tissues of S. superba.Results Nineteen candidate reference genes were selected and evaluated for their expression stability in different tissues. Three software programs (geNorm, NormFinder, and BestKeeper) were used to evaluate the reference gene transcript stabilities, and comprehensive stability ranking was generated by the geometric mean method. Our results identified that SsuACT was the most stable reference gene, SsuACT + SsuRIB was the best reference genes combination for different tissues. Finally, the stable and less stable reference genes were verified using the SsuSND1 expression in different tissues.Conclusions This is the first report to verify the appropriate reference genes for normalizing gene expression in S. superba for different tissues, which will facilitate future elucidation of gene regulations in this species, and useful references for relative species.

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