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Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines

Accurate and reliable relative gene expression analysis via the Reverse Transcription-quantitative Real Time PCR (RT-qPCR) method strongly depends on employing several stable reference genes as normalizers. Utilization of the reference genes without analyzing their expression stability under each ex...

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Autores principales: Gorji-Bahri, Gilar, Moradtabrizi, Niloofar, Hashemi, Atieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577734/
https://www.ncbi.nlm.nih.gov/pubmed/34752497
http://dx.doi.org/10.1371/journal.pone.0259669
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author Gorji-Bahri, Gilar
Moradtabrizi, Niloofar
Hashemi, Atieh
author_facet Gorji-Bahri, Gilar
Moradtabrizi, Niloofar
Hashemi, Atieh
author_sort Gorji-Bahri, Gilar
collection PubMed
description Accurate and reliable relative gene expression analysis via the Reverse Transcription-quantitative Real Time PCR (RT-qPCR) method strongly depends on employing several stable reference genes as normalizers. Utilization of the reference genes without analyzing their expression stability under each experimental condition causes RT-qPCR analysis error as well as false output. Similar to cancerous tissues, cancer cell lines also exhibit various gene expression profiles. It is crucial to recognize stable reference genes for well-known cancer cell lines to minimize RT-qPCR analysis error. In this study, we showed the expression level and investigated the expression stability of eight common reference genes that are ACTB, YWHAZ, HPRT1, RNA18S, TBP, GAPDH, UBC, and B2M, in two sets of cancerous cell lines. One set contains MCF7, SKBR3, and MDA-MB231 as breast cancer cell lines. Another set includes three hepatic cancer cell lines, including Huh7, HepG2, and PLC-PRF5. Three excel-based softwares comprising geNorm, BestKeeper, and NormFinder, and an online tool, namely RefFinder were used for stability analysis. Although all four algorithms did not show the same stability ranking of nominee genes, the overall results showed B2M and ACTB as the least stable reference genes for the studied breast cancer cell lines. While TBP had the lowest expression stability in the three hepatic cancer cell lines. Moreover, YWHAZ, UBC, and GAPDH showed the highest stability in breast cancer cell lines. Besides that, a panel of five nominees, including ACTB, HPRT1, UBC, YWHAZ, and B2M showed higher stability than others in hepatic cancer cell lines. We believe that our results would help researchers to find and to select the best combination of the reference genes for their own experiments involving the studied breast and hepatic cancer cell lines. To further analyze the reference genes stability for each experimental condition, we suggest researchers to consider the provided stability ranking emphasizing the unstable reference genes.
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spelling pubmed-85777342021-11-10 Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines Gorji-Bahri, Gilar Moradtabrizi, Niloofar Hashemi, Atieh PLoS One Research Article Accurate and reliable relative gene expression analysis via the Reverse Transcription-quantitative Real Time PCR (RT-qPCR) method strongly depends on employing several stable reference genes as normalizers. Utilization of the reference genes without analyzing their expression stability under each experimental condition causes RT-qPCR analysis error as well as false output. Similar to cancerous tissues, cancer cell lines also exhibit various gene expression profiles. It is crucial to recognize stable reference genes for well-known cancer cell lines to minimize RT-qPCR analysis error. In this study, we showed the expression level and investigated the expression stability of eight common reference genes that are ACTB, YWHAZ, HPRT1, RNA18S, TBP, GAPDH, UBC, and B2M, in two sets of cancerous cell lines. One set contains MCF7, SKBR3, and MDA-MB231 as breast cancer cell lines. Another set includes three hepatic cancer cell lines, including Huh7, HepG2, and PLC-PRF5. Three excel-based softwares comprising geNorm, BestKeeper, and NormFinder, and an online tool, namely RefFinder were used for stability analysis. Although all four algorithms did not show the same stability ranking of nominee genes, the overall results showed B2M and ACTB as the least stable reference genes for the studied breast cancer cell lines. While TBP had the lowest expression stability in the three hepatic cancer cell lines. Moreover, YWHAZ, UBC, and GAPDH showed the highest stability in breast cancer cell lines. Besides that, a panel of five nominees, including ACTB, HPRT1, UBC, YWHAZ, and B2M showed higher stability than others in hepatic cancer cell lines. We believe that our results would help researchers to find and to select the best combination of the reference genes for their own experiments involving the studied breast and hepatic cancer cell lines. To further analyze the reference genes stability for each experimental condition, we suggest researchers to consider the provided stability ranking emphasizing the unstable reference genes. Public Library of Science 2021-11-09 /pmc/articles/PMC8577734/ /pubmed/34752497 http://dx.doi.org/10.1371/journal.pone.0259669 Text en © 2021 Gorji-Bahri et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Gorji-Bahri, Gilar
Moradtabrizi, Niloofar
Hashemi, Atieh
Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
title Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
title_full Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
title_fullStr Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
title_full_unstemmed Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
title_short Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
title_sort uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577734/
https://www.ncbi.nlm.nih.gov/pubmed/34752497
http://dx.doi.org/10.1371/journal.pone.0259669
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