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Evaluation of candidate reference genes for expression studies in Pisumsativum under different experimental conditions

Overview of attention for article published in Planta, April 2010
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Title
Evaluation of candidate reference genes for expression studies in Pisumsativum under different experimental conditions
Published in
Planta, April 2010
DOI 10.1007/s00425-010-1158-1
Pubmed ID
Authors

José V. Die, Belén Román, Salvador Nadal, Clara I. González-Verdejo

Abstract

Reverse transcription quantitative real-time polymerase chain reaction is the most accurate measure of gene expression in biological systems. The data are analyzed through a process called normalization. Internal standards are essential for determining the relative gene expression in different samples. For this purpose, reference genes are selected based on their constitutive expression across samples. At present, there has not yet been any reference gene identified in any organism that is universally optimal across different tissue types or disease situations. Our goal was to test the regulation of 11 potential references for pea. These included eight commonly used and three new candidates. Twenty-six samples, including different tissues, treatments and genotypes, were addressed in this analysis. For reliable data normalization, the most suitable combination of reference genes in each experimental set was constructed with at least two out the five more stably expressed references in the whole experimental series (i.e. protein phosphatase 2A, beta-tubulin, GH720838, actin and GH720808). To validate the determined measure of gene-stability, the gene-specific variation was calculated using different normalization factors. The most non-specific variation was removed when the most stable genes were used, highlighting the importance of the adequate choice of internal controls in gene expression experiments. The set of reference genes presented here will provide useful guidelines as starting point for reference gene selection in pea studies under conditions other than those tested here.

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The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
United States 1 1%
Italy 1 1%
Cyprus 1 1%
Unknown 73 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Researcher 14 18%
Student > Master 11 14%
Student > Doctoral Student 9 12%
Student > Bachelor 4 5%
Other 10 13%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 62%
Biochemistry, Genetics and Molecular Biology 10 13%
Chemistry 2 3%
Environmental Science 1 1%
Energy 1 1%
Other 3 4%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2012.
All research outputs
#18,316,001
of 22,679,690 outputs
Outputs from Planta
#2,144
of 2,712 outputs
Outputs of similar age
#85,428
of 94,719 outputs
Outputs of similar age from Planta
#10
of 10 outputs
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