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Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR
Normalization to a reference gene is the method of choice for quantitative reverse transcription-PCR (RT-qPCR) analysis. The stability of reference genes is critical for accurate experimental results and conclusions. We have evaluated the expression stability of eight commonly used reference genes f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279059/ https://www.ncbi.nlm.nih.gov/pubmed/25179824 http://dx.doi.org/10.1007/s10529-014-1652-9 |
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author | Li, Xiuying Yang, Qiwei Bai, Jinping Xuan, Yali Wang, Yimin |
author_facet | Li, Xiuying Yang, Qiwei Bai, Jinping Xuan, Yali Wang, Yimin |
author_sort | Li, Xiuying |
collection | PubMed |
description | Normalization to a reference gene is the method of choice for quantitative reverse transcription-PCR (RT-qPCR) analysis. The stability of reference genes is critical for accurate experimental results and conclusions. We have evaluated the expression stability of eight commonly used reference genes found in four different human mesenchymal stem cells (MSC). Using geNorm, NormFinder and BestKeeper algorithms, we show that beta-2-microglobulin and peptidyl-prolylisomerase A were the optimal reference genes for normalizing RT-qPCR data obtained from MSC, whereas the TATA box binding protein was not suitable due to its extensive variability in expression. Our findings emphasize the significance of validating reference genes for qPCR analyses. We offer a short list of reference genes to use for normalization and recommend some commercially-available software programs as a rapid approach to validate reference genes. We also demonstrate that the two reference genes, β-actin and glyceraldehyde-3-phosphate dehydrogenase, are frequently used are not always successful in many cases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10529-014-1652-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4279059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-42790592014-12-31 Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR Li, Xiuying Yang, Qiwei Bai, Jinping Xuan, Yali Wang, Yimin Biotechnol Lett Original Research Paper Normalization to a reference gene is the method of choice for quantitative reverse transcription-PCR (RT-qPCR) analysis. The stability of reference genes is critical for accurate experimental results and conclusions. We have evaluated the expression stability of eight commonly used reference genes found in four different human mesenchymal stem cells (MSC). Using geNorm, NormFinder and BestKeeper algorithms, we show that beta-2-microglobulin and peptidyl-prolylisomerase A were the optimal reference genes for normalizing RT-qPCR data obtained from MSC, whereas the TATA box binding protein was not suitable due to its extensive variability in expression. Our findings emphasize the significance of validating reference genes for qPCR analyses. We offer a short list of reference genes to use for normalization and recommend some commercially-available software programs as a rapid approach to validate reference genes. We also demonstrate that the two reference genes, β-actin and glyceraldehyde-3-phosphate dehydrogenase, are frequently used are not always successful in many cases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10529-014-1652-9) contains supplementary material, which is available to authorized users. Springer Netherlands 2014-09-02 2015 /pmc/articles/PMC4279059/ /pubmed/25179824 http://dx.doi.org/10.1007/s10529-014-1652-9 Text en © The Author(s) 2014, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Paper Li, Xiuying Yang, Qiwei Bai, Jinping Xuan, Yali Wang, Yimin Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR |
title | Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR |
title_full | Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR |
title_fullStr | Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR |
title_full_unstemmed | Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR |
title_short | Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR |
title_sort | identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time pcr |
topic | Original Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279059/ https://www.ncbi.nlm.nih.gov/pubmed/25179824 http://dx.doi.org/10.1007/s10529-014-1652-9 |
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