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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Gilar Gorji-Bahri, Niloofar Moradtabrizi, Atieh Hashemi
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3cc61d420f5d414c825a2228dd50bb54
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3cc61d420f5d414c825a2228dd50bb54
record_format	dspace
spelling	oai:doaj.org-article:3cc61d420f5d414c825a2228dd50bb542021-11-18T06:34:43ZUncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines1932-6203https://doaj.org/article/3cc61d420f5d414c825a2228dd50bb542021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577734/?tool=EBIhttps://doaj.org/toc/1932-6203Accurate 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.Gilar Gorji-BahriNiloofar MoradtabriziAtieh HashemiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Gilar Gorji-Bahri Niloofar Moradtabrizi Atieh Hashemi Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
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.
format	article
author	Gilar Gorji-Bahri Niloofar Moradtabrizi Atieh Hashemi
author_facet	Gilar Gorji-Bahri Niloofar Moradtabrizi Atieh Hashemi
author_sort	Gilar Gorji-Bahri
title	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_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_sort	uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/3cc61d420f5d414c825a2228dd50bb54
work_keys_str_mv	AT gilargorjibahri uncoveringthestabilitystatusofthereputedreferencegenesinbreastandhepaticcancercelllines AT niloofarmoradtabrizi uncoveringthestabilitystatusofthereputedreferencegenesinbreastandhepaticcancercelllines AT atiehhashemi uncoveringthestabilitystatusofthereputedreferencegenesinbreastandhepaticcancercelllines
_version_	1718424471821352960

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

Ejemplares similares