scholarly journals Reference genes for livestock gene expression profiling – Literature review

2017 ◽  
pp. 81-89
Author(s):  
Ádám Simon ◽  
Zsuzsa Zakarné Aszalós ◽  
András Jávor ◽  
Levente Czeglédi
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Literature Review ◽  
Real Time ◽  
Reference Genes ◽  
Chain Reaction ◽  
Experimental Conditions ◽  
Genes Encoding ◽  
Polymerase Chain ◽  
Protein Components

Quantitative real-time polymerase chain reaction (qPCR) is an essential tool for understanding animal cell’s response to developmental progression or to different experimental conditions at gene expression level. However the reliability of this method heavily lies on proper normalization (measuring a target and a reference gene’s expression from the same sample to correct for technical related variations).Our literature review aimed to summarize the articles addressing the most important livestock species in regards of reference gene stability used as normalizers for quantitative real-time polymerase chain reaction experiments. Stably expressing reference genes were categorized into 14 distinct groups according to gene function. The number of reference genes tested and the publication numbers according to years and the ranking algorithms were also noted.Counting showed that genes encoding ribosomal protein components are ranked as most stable in majority of cases and therefore should be taking into account for qPCR stable normalizer gene finding experiments.

Comparison of reference genes for quantitative real-time polymerase chain reaction analysis of gene expression in sugarcane

2004 ◽  
Vol 22 (4) ◽  
pp. 325-337 ◽  
Author(s):  
Hayati M. Iskandar ◽  
Robert S. Simpson ◽  
Rosanne E. Casu ◽  
Graham D. Bonnett ◽  
Donald J. Maclean ◽  
...  
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Real Time ◽  
Reference Genes ◽  
Polymerase Chain Reaction Analysis ◽  
Chain Reaction ◽  
Polymerase Chain

scholarly journals Selection of Reference Genes for Real-time Quantitative Polymerase Chain Reaction Analysis of Light-dependent Anthocyanin Biosynthesis in Chrysanthemum

2015 ◽  
Vol 140 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Yan Hong ◽  
SiLan Dai
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Real Time ◽  
Reference Genes ◽  
Developmental Stages ◽  
Anthocyanin Biosynthesis ◽  
Light Conditions ◽  
Chain Reaction ◽  
Horticultural Crops ◽  
Polymerase Chain

The light-dependent coloration of the vital organs of horticultural crops affects multiple parts of production and sales. The simplicity of the metabolic pathways of anthocyanins and the characteristics of light-dependent coloration make chrysanthemum (Chrysanthemum ×morifolium) an ideal subject for studying the mechanism of light-regulated anthocyanin biosynthesis. In this study, real-time quantitative reverse transcription–polymerase chain reaction (PCR) was used in the analysis of the expression levels of anthocyanin biosynthesis genes in C. ×morifolium ‘Reagan’. The reference genes selected were those assumed to remain at constant levels in three flower color lines at five floral developmental stages and at two light conditions. Using digital gene expression technology, we selected nine reference genes with moderate expression in the chrysanthemum ray florets at various floral developmental stages under illuminated and dark conditions as the candidate reference genes for further study. After comprehensively analyzing the stability of gene expression with three distinct statistical algorithms, geNorm, NormFinder, and qBase plus, we found that F-box and PP2A were the most stable genes in all of the samples. In addition, we analyzed the relative expression level of the CmF3H gene in different samples to verify the reference genes that we selected. This study provides a consensus list of validated reference genes that will benefit future studies of the expression of chrysanthemum genes involved in anthocyanin biosynthesis and floral development under various light conditions. Moreover, this information will also promote the molecular breeding of horticultural crops for their color modification.

Validation of Reference Genes for Real-Time Polymerase Chain Reaction Studies in Atlantic Salmon

2006 ◽  
Vol 8 (4) ◽  
pp. 398-408 ◽  
Author(s):  
Sven Martin Jorgensen ◽  
Ellen Johanne Kleveland ◽  
Unni Grimholt ◽  
Tor Gjoen
Keyword(s):  
Polymerase Chain Reaction ◽  
Atlantic Salmon ◽  
Real Time ◽  
Reference Genes ◽  
Chain Reaction ◽  
Polymerase Chain

scholarly journals Expression of DROSHA and DICER genes in peripheral blood leukocytes in lung sarcoidosis

2018 ◽  
Vol 90 (3) ◽  
pp. 21-24
Author(s):  
I E Malysheva ◽  
O V Balan ◽  
E L Tikhonovich ◽  
T O Volkova
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Real Time ◽  
Peripheral Blood ◽  
Messenger Rna ◽  
Peripheral Blood Leukocytes ◽  
Chain Reaction ◽  
Blood Leukocytes ◽  
Healthy Donors ◽  
Polymerase Chain

Aim. To study the expression level of the genes DROSHA and DICER in peripheral blood leukocytes (PBL) of patients with sarcoidosis of the lungs Materials and methods. The study included 32 patients diagnosed with persistent lung sarcoidosis (mean age 41.56±1.27 years) and 36 healthy donors (control; mean age 42.79±1.95 years). The level of expression of messenger RNA (mRNA) of the genes DROSHA and DICER were determined in PBL of healthy donors and patients with sarcoidosis of the lung by polymerase chain reaction in real time. Results. As a result of the conducted researches it is established that the level of drosha gene expression in PBL patients with sarcoidosis of lungs is significantly reduced in comparison with the control (p

Validation of reference genes for quantitative real‐time polymerase chain reaction in Drosophila melanogaster exposed to two chemicals

2019 ◽  
Vol 49 (6) ◽  
pp. 277-283 ◽  
Author(s):  
YeongHo Kim ◽  
YiSeul Kim ◽  
Donghun Kim ◽  
SeYeon Kim ◽  
GyeongJin Seo ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Drosophila Melanogaster ◽  
Real Time ◽  
Reference Genes ◽  
Chain Reaction ◽  
Polymerase Chain
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