Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients

Abstract Comparative gene expression analysis by qRT-PCR is commonly used to detect differentially expressed genes in studies of PCOS pathology. Impaired GC function is strongly associated with PCOS pathogenesis, and a growing body of studies has been dedicated to identifying differentially expresse...

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Autores principales:	Yue Lv, Shi Gang Zhao, Gang Lu, Chi Kwan Leung, Zhi Qiang Xiong, Xian Wei Su, Jin Long Ma, Wai Yee Chan, Hong Bin Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bd9d53812f964129bdf407883f18d96d
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spelling	oai:doaj.org-article:bd9d53812f964129bdf407883f18d96d2021-12-02T15:06:03ZIdentification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients10.1038/s41598-017-07346-x2045-2322https://doaj.org/article/bd9d53812f964129bdf407883f18d96d2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07346-xhttps://doaj.org/toc/2045-2322Abstract Comparative gene expression analysis by qRT-PCR is commonly used to detect differentially expressed genes in studies of PCOS pathology. Impaired GC function is strongly associated with PCOS pathogenesis, and a growing body of studies has been dedicated to identifying differentially expressed genes in GCs in PCOS patients and healthy women by qRT-PCR. It is necessary to validate the expression stability of the selected reference genes across the tested samples for target gene expression normalization. We examined the variability and stability of expression of the 15 commonly used reference genes in GCs from 44 PCOS patients and 45 healthy women using the GeNorm, BestKeeper, and NormFinder statistical algorithms. We combined the rankings of the three programs to produce a final ranking based on the geometric means of their stability scores. We found that HPRT1, RPLP0, and HMBS out of 15 examined commonly used reference genes are stably expressed in GCs in both controls and PCOS patients and can be used for normalization in gene expression profiling by qRT-PCR. Future gene-expression studies should consider using these reference genes in GCs in PCOS patients for more accurate quantitation of target gene expression and data interpretation.Yue LvShi Gang ZhaoGang LuChi Kwan LeungZhi Qiang XiongXian Wei SuJin Long MaWai Yee ChanHong Bin LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yue Lv Shi Gang Zhao Gang Lu Chi Kwan Leung Zhi Qiang Xiong Xian Wei Su Jin Long Ma Wai Yee Chan Hong Bin Liu Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients
description	Abstract Comparative gene expression analysis by qRT-PCR is commonly used to detect differentially expressed genes in studies of PCOS pathology. Impaired GC function is strongly associated with PCOS pathogenesis, and a growing body of studies has been dedicated to identifying differentially expressed genes in GCs in PCOS patients and healthy women by qRT-PCR. It is necessary to validate the expression stability of the selected reference genes across the tested samples for target gene expression normalization. We examined the variability and stability of expression of the 15 commonly used reference genes in GCs from 44 PCOS patients and 45 healthy women using the GeNorm, BestKeeper, and NormFinder statistical algorithms. We combined the rankings of the three programs to produce a final ranking based on the geometric means of their stability scores. We found that HPRT1, RPLP0, and HMBS out of 15 examined commonly used reference genes are stably expressed in GCs in both controls and PCOS patients and can be used for normalization in gene expression profiling by qRT-PCR. Future gene-expression studies should consider using these reference genes in GCs in PCOS patients for more accurate quantitation of target gene expression and data interpretation.
format	article
author	Yue Lv Shi Gang Zhao Gang Lu Chi Kwan Leung Zhi Qiang Xiong Xian Wei Su Jin Long Ma Wai Yee Chan Hong Bin Liu
author_facet	Yue Lv Shi Gang Zhao Gang Lu Chi Kwan Leung Zhi Qiang Xiong Xian Wei Su Jin Long Ma Wai Yee Chan Hong Bin Liu
author_sort	Yue Lv
title	Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients
title_short	Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients
title_full	Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients
title_fullStr	Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients
title_full_unstemmed	Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients
title_sort	identification of reference genes for qrt-pcr in granulosa cells of healthy women and polycystic ovarian syndrome patients
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/bd9d53812f964129bdf407883f18d96d
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Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients

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