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Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve

Bicuspid aortic valve (BAV) is the most frequent congenital cardiac malformation in humans, and appears frequently associated with dilatation of the ascending aorta. This association is likely the result of a common aetiology. Currently, a Syrian hamster strain with a relatively high (∼40%) incidenc...

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Autores principales: Rueda-Martínez, Carmen, Fernández, M. Carmen, Soto-Navarrete, María Teresa, Jiménez-Navarro, Manuel, Durán, Ana Carmen, Fernández, Borja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053431/
https://www.ncbi.nlm.nih.gov/pubmed/27711171
http://dx.doi.org/10.1371/journal.pone.0164070
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author Rueda-Martínez, Carmen
Fernández, M. Carmen
Soto-Navarrete, María Teresa
Jiménez-Navarro, Manuel
Durán, Ana Carmen
Fernández, Borja
author_facet Rueda-Martínez, Carmen
Fernández, M. Carmen
Soto-Navarrete, María Teresa
Jiménez-Navarro, Manuel
Durán, Ana Carmen
Fernández, Borja
author_sort Rueda-Martínez, Carmen
collection PubMed
description Bicuspid aortic valve (BAV) is the most frequent congenital cardiac malformation in humans, and appears frequently associated with dilatation of the ascending aorta. This association is likely the result of a common aetiology. Currently, a Syrian hamster strain with a relatively high (∼40%) incidence of BAV constitutes the only spontaneous animal model of BAV disease. The characterization of molecular alterations in the aorta of hamsters with BAV may serve to identify pathophysiological mechanisms and molecular markers of disease in humans. In this report, we evaluate the expression of ten candidate reference genes in aortic tissue of hamsters in order to identify housekeeping genes for normalization using quantitative real time PCR (RT-qPCR) assays. A total of 51 adult (180–240 days old) and 56 old (300–440 days old) animals were used. They belonged to a control strain of hamsters with normal, tricuspid aortic valve (TAV; n = 30), or to the affected strain of hamsters with TAV (n = 45) or BAV (n = 32). The expression stability of the candidate reference genes was determined by RT-qPCR using three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable reference genes for the three algorithms employed were Cdkn1β, G3pdh and Polr2a. We propose the use of Cdkn1β, or both Cdkn1β and G3pdh as reference genes for mRNA expression analyses in Syrian hamster aorta.
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spelling pubmed-50534312016-10-27 Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve Rueda-Martínez, Carmen Fernández, M. Carmen Soto-Navarrete, María Teresa Jiménez-Navarro, Manuel Durán, Ana Carmen Fernández, Borja PLoS One Research Article Bicuspid aortic valve (BAV) is the most frequent congenital cardiac malformation in humans, and appears frequently associated with dilatation of the ascending aorta. This association is likely the result of a common aetiology. Currently, a Syrian hamster strain with a relatively high (∼40%) incidence of BAV constitutes the only spontaneous animal model of BAV disease. The characterization of molecular alterations in the aorta of hamsters with BAV may serve to identify pathophysiological mechanisms and molecular markers of disease in humans. In this report, we evaluate the expression of ten candidate reference genes in aortic tissue of hamsters in order to identify housekeeping genes for normalization using quantitative real time PCR (RT-qPCR) assays. A total of 51 adult (180–240 days old) and 56 old (300–440 days old) animals were used. They belonged to a control strain of hamsters with normal, tricuspid aortic valve (TAV; n = 30), or to the affected strain of hamsters with TAV (n = 45) or BAV (n = 32). The expression stability of the candidate reference genes was determined by RT-qPCR using three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable reference genes for the three algorithms employed were Cdkn1β, G3pdh and Polr2a. We propose the use of Cdkn1β, or both Cdkn1β and G3pdh as reference genes for mRNA expression analyses in Syrian hamster aorta. Public Library of Science 2016-10-06 /pmc/articles/PMC5053431/ /pubmed/27711171 http://dx.doi.org/10.1371/journal.pone.0164070 Text en © 2016 Rueda-Martínez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rueda-Martínez, Carmen
Fernández, M. Carmen
Soto-Navarrete, María Teresa
Jiménez-Navarro, Manuel
Durán, Ana Carmen
Fernández, Borja
Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve
title Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve
title_full Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve
title_fullStr Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve
title_full_unstemmed Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve
title_short Identification of Reference Genes for Quantitative Real Time PCR Assays in Aortic Tissue of Syrian Hamsters with Bicuspid Aortic Valve
title_sort identification of reference genes for quantitative real time pcr assays in aortic tissue of syrian hamsters with bicuspid aortic valve
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053431/
https://www.ncbi.nlm.nih.gov/pubmed/27711171
http://dx.doi.org/10.1371/journal.pone.0164070
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