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Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts
BACKGROUND: Quantitative RT-PCR is a valuable tool for assessing the gene expression in different human tissues, particularly due to its exceptional sensitivity, accuracy and reliability. However, the choice of adequate control for normalization is a crucial step, greatly affecting the results of al...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019989/ https://www.ncbi.nlm.nih.gov/pubmed/35439923 http://dx.doi.org/10.1186/s12872-022-02614-9 |
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author | Červenák, Zdenko Červenák, Filip Adamičková, Adriana Šalingová, Barbara Gažová, Andrea Kyselovič, Ján |
author_facet | Červenák, Zdenko Červenák, Filip Adamičková, Adriana Šalingová, Barbara Gažová, Andrea Kyselovič, Ján |
author_sort | Červenák, Zdenko |
collection | PubMed |
description | BACKGROUND: Quantitative RT-PCR is a valuable tool for assessing the gene expression in different human tissues, particularly due to its exceptional sensitivity, accuracy and reliability. However, the choice of adequate control for normalization is a crucial step, greatly affecting the results of all subsequent analyses. So far, only a few studies were focused on the selection of optimal reference genes in left ventricles of failing human hearts, leading to several disparities in experimental results focused on differential gene expression in this area. Therefore, the main objective of this study was to identify a set of suitable reference genes in normal and failing left ventricle tissues, which could increase the reliability of RT-qPCR-based studies in the future. METHODS: We analyzed the expression of 15 commonly used housekeeping genes (ACTB, B2M, GAPDH, GUSB, HMBS, HPRT1, IPO8, PGK1, POLR2A, PPIA, RPLP0, TBP, TFRC, UBC and YWHAZ) in left ventricles of normal and failed hearts with two-step approach. In the first step, we excluded genes which are variantly expressed using ANOVA-based statistical method. Afterwards, the remaining genes were analyzed using geNorm, NormFinder and BestKeeper algorithms, together with delta Cq method. Finally, the geometric mean of gene rankings across all methods was calculated. RESULTS: Our analysis identified IPO8 and POLR2A as the most stably expressed genes, whereas ACTB and B2M were found to be expressed variantly, suggesting a potential role of these genes in the pathophysiological processes in failing human hearts. DISCUSSION/CONCLUSION: Using our two-step approach, we identified and validated two reference genes expressed invariantly in left ventricles of both healthy and failing human hearts, as well as provided a guideline for the selection of reference genes in studies comparing gene expression in these types of tissues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02614-9. |
format | Online Article Text |
id | pubmed-9019989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90199892022-04-21 Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts Červenák, Zdenko Červenák, Filip Adamičková, Adriana Šalingová, Barbara Gažová, Andrea Kyselovič, Ján BMC Cardiovasc Disord Research BACKGROUND: Quantitative RT-PCR is a valuable tool for assessing the gene expression in different human tissues, particularly due to its exceptional sensitivity, accuracy and reliability. However, the choice of adequate control for normalization is a crucial step, greatly affecting the results of all subsequent analyses. So far, only a few studies were focused on the selection of optimal reference genes in left ventricles of failing human hearts, leading to several disparities in experimental results focused on differential gene expression in this area. Therefore, the main objective of this study was to identify a set of suitable reference genes in normal and failing left ventricle tissues, which could increase the reliability of RT-qPCR-based studies in the future. METHODS: We analyzed the expression of 15 commonly used housekeeping genes (ACTB, B2M, GAPDH, GUSB, HMBS, HPRT1, IPO8, PGK1, POLR2A, PPIA, RPLP0, TBP, TFRC, UBC and YWHAZ) in left ventricles of normal and failed hearts with two-step approach. In the first step, we excluded genes which are variantly expressed using ANOVA-based statistical method. Afterwards, the remaining genes were analyzed using geNorm, NormFinder and BestKeeper algorithms, together with delta Cq method. Finally, the geometric mean of gene rankings across all methods was calculated. RESULTS: Our analysis identified IPO8 and POLR2A as the most stably expressed genes, whereas ACTB and B2M were found to be expressed variantly, suggesting a potential role of these genes in the pathophysiological processes in failing human hearts. DISCUSSION/CONCLUSION: Using our two-step approach, we identified and validated two reference genes expressed invariantly in left ventricles of both healthy and failing human hearts, as well as provided a guideline for the selection of reference genes in studies comparing gene expression in these types of tissues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02614-9. BioMed Central 2022-04-19 /pmc/articles/PMC9019989/ /pubmed/35439923 http://dx.doi.org/10.1186/s12872-022-02614-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Červenák, Zdenko Červenák, Filip Adamičková, Adriana Šalingová, Barbara Gažová, Andrea Kyselovič, Ján Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts |
title | Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts |
title_full | Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts |
title_fullStr | Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts |
title_full_unstemmed | Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts |
title_short | Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts |
title_sort | normalization strategy for selection of reference genes for rt-qpcr analysis in left ventricles of failing human hearts |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019989/ https://www.ncbi.nlm.nih.gov/pubmed/35439923 http://dx.doi.org/10.1186/s12872-022-02614-9 |
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