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Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine

The quantitative real-time polymerase chain reaction (qRT-PCR) is one of the most widely used methods to study gene expression profiles, and it requires appropriate normalization for accurate and reliable results. Although several genes are commonly used as reference genes (such as GAPDH, ACTB, and...

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Autores principales: Zhou, Zhi-Jie, Zhang, Jian-Feng, Xia, Ping, Wang, Ji-Ying, Chen, Shuai, Fang, Xiang-Qian, Fan, Shun-Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928306/
https://www.ncbi.nlm.nih.gov/pubmed/24558443
http://dx.doi.org/10.1371/journal.pone.0088892
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author Zhou, Zhi-Jie
Zhang, Jian-Feng
Xia, Ping
Wang, Ji-Ying
Chen, Shuai
Fang, Xiang-Qian
Fan, Shun-Wu
author_facet Zhou, Zhi-Jie
Zhang, Jian-Feng
Xia, Ping
Wang, Ji-Ying
Chen, Shuai
Fang, Xiang-Qian
Fan, Shun-Wu
author_sort Zhou, Zhi-Jie
collection PubMed
description The quantitative real-time polymerase chain reaction (qRT-PCR) is one of the most widely used methods to study gene expression profiles, and it requires appropriate normalization for accurate and reliable results. Although several genes are commonly used as reference genes (such as GAPDH, ACTB, and 18S rRNA), they are also regulated and can be expressed at varying levels. In this study, we evaluated twelve well-known reference genes to identify the most suitable housekeeping gene for normalization of qRT-PCR in human lumbar vertebral endplate with Modic changes, by using the geNorm, NormFinder, and BestKeeper algorithms. Our results showed that the rarely-used SDHA was the most stable single reference gene, and a combination of three, SDHA, B2M, and LDHA, was the most suitable gene set for normalization in all samples. In addition, the commonly-used genes, GAPDH, ACTB and 18S rRNA, were all inappropriate as internal standards. The rankings of reference genes for the three types of Modic change differed, although SDHA and RPL13A uniformly ranked in the first and last position, respectively. Further simulated expression analysis validated that the arbitrary use of a reference gene could lead to the misinterpretation of data. Our study confirmed the necessity of exploring the expression stability of potential reference genes in each specific tissue and experimental situation before quantitative evaluation of gene expression by qRT-PCR.
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spelling pubmed-39283062014-02-20 Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine Zhou, Zhi-Jie Zhang, Jian-Feng Xia, Ping Wang, Ji-Ying Chen, Shuai Fang, Xiang-Qian Fan, Shun-Wu PLoS One Research Article The quantitative real-time polymerase chain reaction (qRT-PCR) is one of the most widely used methods to study gene expression profiles, and it requires appropriate normalization for accurate and reliable results. Although several genes are commonly used as reference genes (such as GAPDH, ACTB, and 18S rRNA), they are also regulated and can be expressed at varying levels. In this study, we evaluated twelve well-known reference genes to identify the most suitable housekeeping gene for normalization of qRT-PCR in human lumbar vertebral endplate with Modic changes, by using the geNorm, NormFinder, and BestKeeper algorithms. Our results showed that the rarely-used SDHA was the most stable single reference gene, and a combination of three, SDHA, B2M, and LDHA, was the most suitable gene set for normalization in all samples. In addition, the commonly-used genes, GAPDH, ACTB and 18S rRNA, were all inappropriate as internal standards. The rankings of reference genes for the three types of Modic change differed, although SDHA and RPL13A uniformly ranked in the first and last position, respectively. Further simulated expression analysis validated that the arbitrary use of a reference gene could lead to the misinterpretation of data. Our study confirmed the necessity of exploring the expression stability of potential reference genes in each specific tissue and experimental situation before quantitative evaluation of gene expression by qRT-PCR. Public Library of Science 2014-02-18 /pmc/articles/PMC3928306/ /pubmed/24558443 http://dx.doi.org/10.1371/journal.pone.0088892 Text en © 2014 Zhou 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhou, Zhi-Jie
Zhang, Jian-Feng
Xia, Ping
Wang, Ji-Ying
Chen, Shuai
Fang, Xiang-Qian
Fan, Shun-Wu
Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine
title Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine
title_full Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine
title_fullStr Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine
title_full_unstemmed Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine
title_short Selection of Suitable Reference Genes for Normalization of Quantitative Real-Time Polymerase Chain Reaction in Human Cartilage Endplate of the Lumbar Spine
title_sort selection of suitable reference genes for normalization of quantitative real-time polymerase chain reaction in human cartilage endplate of the lumbar spine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928306/
https://www.ncbi.nlm.nih.gov/pubmed/24558443
http://dx.doi.org/10.1371/journal.pone.0088892
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