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Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment

BACKGROUND: The selection of stable and suitable reference genes for real-time quantitative PCR (RT-qPCR) is a crucial prerequisite for reliable gene expression analysis under different experimental conditions. The present study aimed to identify reference genes as internal controls for gene express...

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Autores principales: Li, Qingdi Quentin, Skinner, Jeff, Bennett, John E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482582/
https://www.ncbi.nlm.nih.gov/pubmed/22747760
http://dx.doi.org/10.1186/1471-2199-13-22
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author Li, Qingdi Quentin
Skinner, Jeff
Bennett, John E
author_facet Li, Qingdi Quentin
Skinner, Jeff
Bennett, John E
author_sort Li, Qingdi Quentin
collection PubMed
description BACKGROUND: The selection of stable and suitable reference genes for real-time quantitative PCR (RT-qPCR) is a crucial prerequisite for reliable gene expression analysis under different experimental conditions. The present study aimed to identify reference genes as internal controls for gene expression studies by RT-qPCR in azole-stimulated Candida glabrata. RESULTS: The expression stability of 16 reference genes under fluconazole stress was evaluated using fold change and standard deviation computations with the hkgFinder tool. Our data revealed that the mRNA expression levels of three ribosomal RNAs (RDN5.8, RDN18, and RDN25) remained stable in response to fluconazole, while PGK1, UBC7, and UBC13 mRNAs showed only approximately 2.9-, 3.0-, and 2.5-fold induction by azole, respectively. By contrast, mRNA levels of the other 10 reference genes (ACT1, EF1α, GAPDH, PPIA, RPL2A, RPL10, RPL13A, SDHA, TUB1, and UBC4) were dramatically increased in C. glabrata following antifungal treatment, exhibiting changes ranging from 4.5- to 32.7-fold. We also assessed the expression stability of these reference genes using the 2(-ΔΔCT) method and three other software packages. The stability rankings of the reference genes by geNorm and the 2(-ΔΔCT) method were identical to those by hkgFinder, whereas the stability rankings by BestKeeper and NormFinder were notably different. We then validated the suitability of six candidate reference genes (ACT1, PGK1, RDN5.8, RDN18, UBC7, and UBC13) as internal controls for ten target genes in this system using the comparative C(T) method. Our validation experiments passed for all six reference genes analyzed except RDN18, where the amplification efficiency of RDN18 was different from that of the ten target genes. Finally, we demonstrated that the relative quantification of target gene expression varied according to the endogenous control used, highlighting the importance of the choice of internal controls in such experiments. CONCLUSIONS: We recommend the use of RDN5.8, UBC13, and PGK1 alone or the combination of RDN5.8 plus UBC13 or PGK1 as reference genes for RT-qPCR analysis of gene expression in C. glabrata following azole treatment. In contrast, we show that ACT1 and other commonly used reference genes (GAPDH, PPIA, RPL13A, TUB1, etc.) were not validated as good internal controls in the current model.
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spelling pubmed-34825822012-11-05 Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment Li, Qingdi Quentin Skinner, Jeff Bennett, John E BMC Mol Biol Research Article BACKGROUND: The selection of stable and suitable reference genes for real-time quantitative PCR (RT-qPCR) is a crucial prerequisite for reliable gene expression analysis under different experimental conditions. The present study aimed to identify reference genes as internal controls for gene expression studies by RT-qPCR in azole-stimulated Candida glabrata. RESULTS: The expression stability of 16 reference genes under fluconazole stress was evaluated using fold change and standard deviation computations with the hkgFinder tool. Our data revealed that the mRNA expression levels of three ribosomal RNAs (RDN5.8, RDN18, and RDN25) remained stable in response to fluconazole, while PGK1, UBC7, and UBC13 mRNAs showed only approximately 2.9-, 3.0-, and 2.5-fold induction by azole, respectively. By contrast, mRNA levels of the other 10 reference genes (ACT1, EF1α, GAPDH, PPIA, RPL2A, RPL10, RPL13A, SDHA, TUB1, and UBC4) were dramatically increased in C. glabrata following antifungal treatment, exhibiting changes ranging from 4.5- to 32.7-fold. We also assessed the expression stability of these reference genes using the 2(-ΔΔCT) method and three other software packages. The stability rankings of the reference genes by geNorm and the 2(-ΔΔCT) method were identical to those by hkgFinder, whereas the stability rankings by BestKeeper and NormFinder were notably different. We then validated the suitability of six candidate reference genes (ACT1, PGK1, RDN5.8, RDN18, UBC7, and UBC13) as internal controls for ten target genes in this system using the comparative C(T) method. Our validation experiments passed for all six reference genes analyzed except RDN18, where the amplification efficiency of RDN18 was different from that of the ten target genes. Finally, we demonstrated that the relative quantification of target gene expression varied according to the endogenous control used, highlighting the importance of the choice of internal controls in such experiments. CONCLUSIONS: We recommend the use of RDN5.8, UBC13, and PGK1 alone or the combination of RDN5.8 plus UBC13 or PGK1 as reference genes for RT-qPCR analysis of gene expression in C. glabrata following azole treatment. In contrast, we show that ACT1 and other commonly used reference genes (GAPDH, PPIA, RPL13A, TUB1, etc.) were not validated as good internal controls in the current model. BioMed Central 2012-06-29 /pmc/articles/PMC3482582/ /pubmed/22747760 http://dx.doi.org/10.1186/1471-2199-13-22 Text en Copyright ©2012 Li et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Qingdi Quentin
Skinner, Jeff
Bennett, John E
Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment
title Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment
title_full Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment
title_fullStr Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment
title_full_unstemmed Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment
title_short Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment
title_sort evaluation of reference genes for real-time quantitative pcr studies in candida glabrata following azole treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482582/
https://www.ncbi.nlm.nih.gov/pubmed/22747760
http://dx.doi.org/10.1186/1471-2199-13-22
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