2010
DOI: 10.1007/s00425-010-1158-1
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Evaluation of candidate reference genes for expression studies in Pisum sativum under different experimental conditions

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Cited by 168 publications
(131 citation statements)
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“…These results suggested that reference genes validated for a single genotype may not be the most appropriate reference gene for use when comparing gene expression across diverse cultivars. Multiple candidate reference genes for use with pea have only been validated against a single yellow animal feed cultivar, Athos [6], although the 18s rRNA gene has also been used as a reference gene to examine the yellow animal feed pea cultivar Alaska [14]. In this study, we examined several different candidate reference genes among three food grade spring green cultivars and two animal feed spring yellow cultivars.…”
Section: Discussionmentioning
confidence: 99%
“…These results suggested that reference genes validated for a single genotype may not be the most appropriate reference gene for use when comparing gene expression across diverse cultivars. Multiple candidate reference genes for use with pea have only been validated against a single yellow animal feed cultivar, Athos [6], although the 18s rRNA gene has also been used as a reference gene to examine the yellow animal feed pea cultivar Alaska [14]. In this study, we examined several different candidate reference genes among three food grade spring green cultivars and two animal feed spring yellow cultivars.…”
Section: Discussionmentioning
confidence: 99%
“…The commonly used housekeeping genes were selected as candidate reference genes according to the previous reports in other plants (Reid et al 2006;Hong et al 2008;ExpositoRodriguez et al 2008;Kumeta and Ito 2010;Nicot et al 2005;Die et al 2010;Chen et al 2011). Ortholog sequences of these genes in A. sinensis were obtained in the 454 highthroughput sequencing library and identified through BLASTX against GenBank.…”
Section: Candidate Reference Gene Selection and Primer Designmentioning
confidence: 99%
“…Northern blotting, semi-quantitative reverse transcription-PCR, and reverse transcription quantitative real-time PCR (RT-qPCR, Bustin et al 2009) have been frequently used, and RT-qPCR is the best method available for determining changes in gene expression, due to its higher sensitivity, specificity, and broad quantification range of up to seven orders of magnitude (reviewed in Bustin 2002;Wong and Medrano 2005;Artico et al 2010). Therefore, RT-qPCR has become the preferred method for the validation of high-throughput or microarray results and the quantitation of gene expression (Chuaqui et al 2002;Czechowski et al 2005;Die et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Although RT-qPCR is widely used to quantify biologically relevant changes in mRNA levels, the accuracy of RT-qPCR is influenced by a number of variables, including the variability in RNA samples, extraction protocols (particularly due to the co-purification of inhibitors), and efficiencies of the RT and PCR (Nolan et al 2006;Die et al 2010;Schmidt and Delaney 2010). Consequently, a normalization step is an essential pre-requisite.…”
Section: Introductionmentioning
confidence: 99%