Identification of Suitable Reference Genes for Quantitative Gene Expression Analysis in Innervated and Denervated Adipose Tissue from Cafeteria Diet‐Fed Rats

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 ◽  
...  
Keyword(s):  
Gene Expression ◽  
Adipose Tissue ◽  
Expression Analysis ◽  
Reference Genes ◽  
Gene Expression Analysis ◽  
Cafeteria Diet ◽  
Quantitative Gene Expression ◽  
Suitable Reference

Identification of suitable reference genes for quantitative gene expression analysis in rat adipose stromal cells induced to trilineage differentiation

Gene ◽  
2016 ◽  
Vol 594 (2) ◽  
pp. 211-219 ◽  
Author(s):  
Bruno Paiva dos Santos ◽  
Luciana Fraga da Costa Diesel ◽  
Lindolfo da Silva Meirelles ◽  
Nance Beyer Nardi ◽  
Melissa Camassola
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Stromal Cells ◽  
Reference Genes ◽  
Gene Expression Analysis ◽  
Adipose Stromal Cells ◽  
Quantitative Gene Expression ◽  
Trilineage Differentiation ◽  
Suitable Reference

scholarly journals Identification and selection of optimal reference genes for qPCR-based gene expression analysis in Fucus distichus under various abiotic stresses

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0233249
Author(s):  
Marina Linardić ◽  
Siobhan A. Braybrook
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Stress Responses ◽  
Reference Genes ◽  
Gene Expression Analysis ◽  
Elongation Factor ◽  
Molecular Tools ◽  
Quantitative Gene Expression ◽  
Fucus Distichus ◽  
Elongation Factor 1

Quantitative gene expression analysis is an important tool in the scientist’s belt. The identification of evenly expressed reference genes is necessary for accurate quantitative gene expression analysis, whether by traditional RT-PCR (reverse-transcription polymerase chain reaction) or by qRT-PCR (quantitative real-time PCR; qPCR). In the Stramenopiles (the major line of eukaryotes that includes brown algae) there is a noted lack of known reference genes for such studies, largely due to the absence of available molecular tools. Here we present a set of nine reference genes (Elongation Factor 1 alpha (EF1A), Elongation Factor 2 alpha (EF2A), Elongation Factor 1 beta (EF1B), 14-3-3 Protein, Ubiquitin Conjugating Enzyme (UBCE2), Glyceraldehyde-3-phosphate Dehydrogenase (GAPDH), Actin Related Protein Complex (ARP2/3), Ribosomal Protein (40s; S23), and Actin) for the brown alga Fucus distichus. These reference genes were tested on adult sporophytes across six abiotic stress conditions (desiccation, light and temperature modification, hormone addition, pollutant exposure, nutrient addition, and wounding). Suitability of these genes as reference genes was quantitatively evaluated across conditions using standard methods and the majority of the tested genes were evaluated favorably. However, we show that normalization genes should be chosen on a condition-by-condition basis. We provide a recommendation that at least two reference genes be used per experiment, a list of recommended pairs for the conditions tested here, and a procedure for identifying a suitable set for an experimenter’s unique design. With the recent expansion of interest in brown algal biology and accompanied molecular tools development, the variety of experimental conditions tested here makes this study a valuable resource for future work in basic biology and understanding stress responses in the brown algal lineage.

Comprehensive selection of reference genes for quantitative gene expression analysis during seed development in Brassica napus

2015 ◽  
Vol 34 (7) ◽  
pp. 1139-1149 ◽  
Author(s):  
Ronei Dorneles Machado ◽  
Ana Paula Christoff ◽  
Guilherme Loss-Morais ◽  
Márcia Margis-Pinheiro ◽  
Rogério Margis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Brassica Napus ◽  
Seed Development ◽  
Expression Analysis ◽  
Reference Genes ◽  
Gene Expression Analysis ◽  
Quantitative Gene Expression ◽  
Selection Of

Candidate reference genes for quantitative gene expression analysis in Lagerstroemia indica

2021 ◽  
Vol 48 (2) ◽  
pp. 1677-1685
Author(s):  
Manli Chen ◽  
Qing Wang ◽  
Ya Li ◽  
Lulu Gao ◽  
Fenni Lv ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Reference Genes ◽  
Gene Expression Analysis ◽  
Quantitative Gene Expression
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