Literature DB >> 33454906

Selection of reference genes for quantitative real-time PCR normalization in European quail tissues.

Fabiana Cristina Belchior de Sousa1, Carlos Souza do Nascimento2, Maíse Dos Santos Macário2, Renan Dos Santos Araújo3, Leandro Teixeira Barbosa2, Geraldo Fábio Viana Bayão4, Katiene Régia Silva Sousa5.   

Abstract

Coturniculture has been standing out as an industrial poultry activity in several countries around the world because of the several adaptive advantages of quails. Research that considers the analysis of gene expression can enhance this activity. This study aimed to analyze the stability of reference genes (RGs) in different tissues of quails (both males and females) for the recommendation of use in gene expression studies by the quantitative reverse transcription-polymerase chain reaction (RT-qPCR). The expression stability of ten RGs (ACTA1, ACTB, B2M, GAPDH, HMBS, SDHA, HPRT1, MRPS27, MRPS30, and RPL5) was analyzed in four tissues (breast muscle, abdominal fat, liver, and intestine), and assessed using the statistical tools geNorm, NormFinder, comparative ΔCq method, and BestKeeper. The HPRT1 gene was the most stable in all quail tissues tested, followed by MRPS27 and MRPS30 in breast muscle, B2M and RPL5 in abdominal fat, HMBS and B2M in the liver, and RPL5 and HMBS in the intestine. These results may help studies using RT-qPCR assays to assess quail tissues from both sexes because they provide data on the most stable genes, which should be tested as candidate RGs for other experimental conditions.

Entities:  

Keywords:  Abdominal fat; Breast muscle; Endogenous gene; Expression stability; Intestine; Liver

Mesh:

Year:  2021        PMID: 33454906     DOI: 10.1007/s11033-020-06134-7

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  20 in total

1.  Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper--Excel-based tool using pair-wise correlations.

Authors:  Michael W Pfaffl; Ales Tichopad; Christian Prgomet; Tanja P Neuvians
Journal:  Biotechnol Lett       Date:  2004-03       Impact factor: 2.461

2.  Selection of reference genes for quantitative real-time PCR normalisation in adipose tissue, muscle, liver and mammary gland from ruminants.

Authors:  M Bonnet; L Bernard; S Bes; C Leroux
Journal:  Animal       Date:  2013-04-04       Impact factor: 3.240

3.  Selection of reference genes for quantitative real-time PCR analysis in chicken ovary following silver nanoparticle treatment.

Authors:  Dorota Katarzyńska-Banasik; Małgorzata Grzesiak; Andrzej Sechman
Journal:  Environ Toxicol Pharmacol       Date:  2017-09-20       Impact factor: 4.860

4.  Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Mulberry (Morus alba L.) under different abiotic stresses.

Authors:  Pawan Shukla; Ramesha A Reddy; Kangayam M Ponnuvel; Gulab Khan Rohela; Aftab A Shabnam; M K Ghosh; Rakesh Kumar Mishra
Journal:  Mol Biol Rep       Date:  2019-01-29       Impact factor: 2.316

5.  Evaluation of reference genes for quantitative real-time RT-PCR analysis of gene expression in Nile tilapia (Oreochromis niloticus).

Authors:  Chang Geng Yang; Xian Li Wang; Juan Tian; Wei Liu; Fan Wu; Ming Jiang; Hua Wen
Journal:  Gene       Date:  2013-06-20       Impact factor: 3.688

6.  Identification of Suitable Reference Genes for Real Time Quantitative Polymerase Chain Reaction Assays on Pectoralis major Muscle in Chicken (Gallus gallus ).

Authors:  Carlos S Nascimento; Leandro T Barbosa; Claudson Brito; Roberta P M Fernandes; Renata S Mann; Ana Paula G Pinto; Haniel C Oliveira; Mike V Dodson; Simone E F Guimarães; Marcio S Duarte
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

7.  Reference genes selection for quantitative real-time PCR using RankAggreg method in different tissues of Capra hircus.

Authors:  Mohammad Javad Najafpanah; Mostafa Sadeghi; Mohammad Reza Bakhtiarizadeh
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

Review 8.  Considerations for accurate gene expression measurement by reverse transcription quantitative PCR when analysing clinical samples.

Authors:  Rebecca Sanders; Deborah J Mason; Carole A Foy; Jim F Huggett
Journal:  Anal Bioanal Chem       Date:  2014-05-25       Impact factor: 4.142

9.  Selection of internal control genes for real-time quantitative PCR in ovary and uterus of sows across pregnancy.

Authors:  María Martínez-Giner; José Luis Noguera; Ingrid Balcells; Amanda Fernández-Rodríguez; Ramona N Pena
Journal:  PLoS One       Date:  2013-06-13       Impact factor: 3.240

10.  Selection of appropriate reference genes for quantitative real-time reverse transcription PCR in Betula platyphylla under salt and osmotic stress conditions.

Authors:  Ziyi Li; Huijun Lu; Zihang He; Chao Wang; Yucheng Wang; Xiaoyu Ji
Journal:  PLoS One       Date:  2019-12-03       Impact factor: 3.240

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