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Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue

Real-time quantitative PCR (qRT-PCR) is one of the important methods for investigating the changes in mRNA expression levels in cells and tissues. Selection of the proper reference genes is very important when calibrating the results of real-time quantitative PCR. Studies on the selection of referen...

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Autores principales: Zhang, Yu, Zhang, Xiao-Dong, Liu, Xing, Li, Yun-Sheng, Ding, Jian-Ping, Zhang, Xiao-Rong, Zhang, Yun-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092887/
https://www.ncbi.nlm.nih.gov/pubmed/25049756
http://dx.doi.org/10.5713/ajas.2013.13199
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author Zhang, Yu
Zhang, Xiao-Dong
Liu, Xing
Li, Yun-Sheng
Ding, Jian-Ping
Zhang, Xiao-Rong
Zhang, Yun-Hai
author_facet Zhang, Yu
Zhang, Xiao-Dong
Liu, Xing
Li, Yun-Sheng
Ding, Jian-Ping
Zhang, Xiao-Rong
Zhang, Yun-Hai
author_sort Zhang, Yu
collection PubMed
description Real-time quantitative PCR (qRT-PCR) is one of the important methods for investigating the changes in mRNA expression levels in cells and tissues. Selection of the proper reference genes is very important when calibrating the results of real-time quantitative PCR. Studies on the selection of reference genes in goat tissues are limited, despite the economic importance of their meat and dairy products. We used real-time quantitative PCR to detect the expression levels of eight reference gene candidates (18S, TBP, HMBS, YWHAZ, ACTB, HPRT1, GAPDH and EEF1A2) in ten tissues types sourced from Boer goats. The optimal reference gene combination was selected according to the results determined by geNorm, NormFinder and Bestkeeper software packages. The analyses showed that tissue is an important variability factor in genes expression stability. When all tissues were considered, 18S, TBP and HMBS is the optimal reference combination for calibrating quantitative PCR analysis of gene expression from goat tissues. Dividing data set by tissues, ACTB was the most stable in stomach, small intestine and ovary, 18S in heart and spleen, HMBS in uterus and lung, TBP in liver, HPRT1 in kidney and GAPDH in muscle. Overall, this study provided valuable information about the goat reference genes that can be used in order to perform a proper normalisation when relative quantification by qRT-PCR studies is undertaken.
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spelling pubmed-40928872014-07-21 Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue Zhang, Yu Zhang, Xiao-Dong Liu, Xing Li, Yun-Sheng Ding, Jian-Ping Zhang, Xiao-Rong Zhang, Yun-Hai Asian-Australas J Anim Sci Article Real-time quantitative PCR (qRT-PCR) is one of the important methods for investigating the changes in mRNA expression levels in cells and tissues. Selection of the proper reference genes is very important when calibrating the results of real-time quantitative PCR. Studies on the selection of reference genes in goat tissues are limited, despite the economic importance of their meat and dairy products. We used real-time quantitative PCR to detect the expression levels of eight reference gene candidates (18S, TBP, HMBS, YWHAZ, ACTB, HPRT1, GAPDH and EEF1A2) in ten tissues types sourced from Boer goats. The optimal reference gene combination was selected according to the results determined by geNorm, NormFinder and Bestkeeper software packages. The analyses showed that tissue is an important variability factor in genes expression stability. When all tissues were considered, 18S, TBP and HMBS is the optimal reference combination for calibrating quantitative PCR analysis of gene expression from goat tissues. Dividing data set by tissues, ACTB was the most stable in stomach, small intestine and ovary, 18S in heart and spleen, HMBS in uterus and lung, TBP in liver, HPRT1 in kidney and GAPDH in muscle. Overall, this study provided valuable information about the goat reference genes that can be used in order to perform a proper normalisation when relative quantification by qRT-PCR studies is undertaken. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2013-12 /pmc/articles/PMC4092887/ /pubmed/25049756 http://dx.doi.org/10.5713/ajas.2013.13199 Text en Copyright © 2013 by Asian-Australasian Journal of Animal Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License http://creativecommons.org/licenses/by-nc/3.0/ which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Zhang, Yu
Zhang, Xiao-Dong
Liu, Xing
Li, Yun-Sheng
Ding, Jian-Ping
Zhang, Xiao-Rong
Zhang, Yun-Hai
Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue
title Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue
title_full Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue
title_fullStr Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue
title_full_unstemmed Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue
title_short Reference Gene Screening for Analyzing Gene Expression Across Goat Tissue
title_sort reference gene screening for analyzing gene expression across goat tissue
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092887/
https://www.ncbi.nlm.nih.gov/pubmed/25049756
http://dx.doi.org/10.5713/ajas.2013.13199
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