High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, which is characterized by ovulatory dysfunction, clinical and/or biochemical androgen excess, polycystic ovaries on ultrasound and genetic heterogeneity. It was well-accepted that many lncRNA...

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Autores principales:	Yanjun Zheng, Yuehong Bian, Richao Wu, Wei Chen, Linlin Fu, Ping Li, Ying Wang, Xiao Yang, Shigang Zhao, Yuhua Shi
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	ovarian granulosa cells lncRNA mRNA pcos high-throughput sequencing Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/3cda1d00bbdc478dacd369a22295c60b
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spelling	oai:doaj.org-article:3cda1d00bbdc478dacd369a22295c60b2021-11-22T04:53:46ZHigh-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome2296-858X10.3389/fmed.2021.741803https://doaj.org/article/3cda1d00bbdc478dacd369a22295c60b2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmed.2021.741803/fullhttps://doaj.org/toc/2296-858XPolycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, which is characterized by ovulatory dysfunction, clinical and/or biochemical androgen excess, polycystic ovaries on ultrasound and genetic heterogeneity. It was well-accepted that many lncRNAs and mRNAs were associated with PCOS, however, remain unclear. Therefore, the purpose of our study was to examine different expression profiles of lncRNAs and mRNAs in ovarian granulosa cells (GCs) in PCOS and Controls, and identify the correlation between lncRNAs, mRNAs and clinical parameters. Sixty five PCOS patients and 65 Controls were enrolled in this study and adopted standard long agonist protocols or GnRH antagonist protocols. Then 6 GCs samples in each group were subjected to high-thoughput sequencing and the remaining samples were used for the further verification by quantitative real-time PCR (qRT-PCR). Gene Oncology (GO), Kyoto Encyclopedia Genes and Genomes (KEGG) enrichment analysis were performed. We predicted the relationship between lncRNAs and mRNAs by Cytoscape software. According to the expression level of lncRNAs, mRNAs and the clinical parameters, we also explored their relationship and evaluate their predictive values for embryos quality and PCOS. We identified 1,049 differential expressed lncRNAs and 3,246 mRNAs (fold-change ≥2, p-value < 0.05). Seven lncRNAs (NONHSAT101926.2, NONHSAT136825.2, NONHSAT227177.1, NONHSAT010538.2, NONHSAT191377.1, NONHSAT230904.1, ENST00000607307) and 3 mRNAs (EREG, ENTPD6, YAP1) were validated consistent with sequence profile. Seven lncRNAs were related to hormone level and follicle counts, 3 mRNAs had connections with lipid metabolism. The area under curve (AUC) of 7 lncRNAs were valuable in distinguishing patients with PCOS from Controls. The AUC of NONHSAT230904.1 and NONHSAT227177.1 were 0.6807 and 0.6410, respectively, for distinguishing whether the rate of high-quality embryos exceeds 50%. Our study showed that the GCs lncRNAs and mRNAs were involved in the occurrence and development of PCOS, which contribute to clarify the pathogenesis mechanism of PCOS.Yanjun ZhengYanjun ZhengYanjun ZhengYanjun ZhengYanjun ZhengYuehong BianYuehong BianYuehong BianYuehong BianYuehong BianRichao WuRichao WuRichao WuRichao WuRichao WuWei ChenWei ChenWei ChenWei ChenWei ChenLinlin FuLinlin FuLinlin FuLinlin FuLinlin FuPing LiPing LiPing LiPing LiPing LiYing WangYing WangYing WangYing WangYing WangXiao YangXiao YangXiao YangXiao YangXiao YangShigang ZhaoShigang ZhaoShigang ZhaoShigang ZhaoShigang ZhaoYuhua ShiYuhua ShiYuhua ShiYuhua ShiYuhua ShiFrontiers Media S.A.articleovarian granulosa cellslncRNAmRNApcoshigh-throughput sequencingMedicine (General)R5-920ENFrontiers in Medicine, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ovarian granulosa cells lncRNA mRNA pcos high-throughput sequencing Medicine (General) R5-920
spellingShingle	ovarian granulosa cells lncRNA mRNA pcos high-throughput sequencing Medicine (General) R5-920 Yanjun Zheng Yanjun Zheng Yanjun Zheng Yanjun Zheng Yanjun Zheng Yuehong Bian Yuehong Bian Yuehong Bian Yuehong Bian Yuehong Bian Richao Wu Richao Wu Richao Wu Richao Wu Richao Wu Wei Chen Wei Chen Wei Chen Wei Chen Wei Chen Linlin Fu Linlin Fu Linlin Fu Linlin Fu Linlin Fu Ping Li Ping Li Ping Li Ping Li Ping Li Ying Wang Ying Wang Ying Wang Ying Wang Ying Wang Xiao Yang Xiao Yang Xiao Yang Xiao Yang Xiao Yang Shigang Zhao Shigang Zhao Shigang Zhao Shigang Zhao Shigang Zhao Yuhua Shi Yuhua Shi Yuhua Shi Yuhua Shi Yuhua Shi High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
description	Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, which is characterized by ovulatory dysfunction, clinical and/or biochemical androgen excess, polycystic ovaries on ultrasound and genetic heterogeneity. It was well-accepted that many lncRNAs and mRNAs were associated with PCOS, however, remain unclear. Therefore, the purpose of our study was to examine different expression profiles of lncRNAs and mRNAs in ovarian granulosa cells (GCs) in PCOS and Controls, and identify the correlation between lncRNAs, mRNAs and clinical parameters. Sixty five PCOS patients and 65 Controls were enrolled in this study and adopted standard long agonist protocols or GnRH antagonist protocols. Then 6 GCs samples in each group were subjected to high-thoughput sequencing and the remaining samples were used for the further verification by quantitative real-time PCR (qRT-PCR). Gene Oncology (GO), Kyoto Encyclopedia Genes and Genomes (KEGG) enrichment analysis were performed. We predicted the relationship between lncRNAs and mRNAs by Cytoscape software. According to the expression level of lncRNAs, mRNAs and the clinical parameters, we also explored their relationship and evaluate their predictive values for embryos quality and PCOS. We identified 1,049 differential expressed lncRNAs and 3,246 mRNAs (fold-change ≥2, p-value < 0.05). Seven lncRNAs (NONHSAT101926.2, NONHSAT136825.2, NONHSAT227177.1, NONHSAT010538.2, NONHSAT191377.1, NONHSAT230904.1, ENST00000607307) and 3 mRNAs (EREG, ENTPD6, YAP1) were validated consistent with sequence profile. Seven lncRNAs were related to hormone level and follicle counts, 3 mRNAs had connections with lipid metabolism. The area under curve (AUC) of 7 lncRNAs were valuable in distinguishing patients with PCOS from Controls. The AUC of NONHSAT230904.1 and NONHSAT227177.1 were 0.6807 and 0.6410, respectively, for distinguishing whether the rate of high-quality embryos exceeds 50%. Our study showed that the GCs lncRNAs and mRNAs were involved in the occurrence and development of PCOS, which contribute to clarify the pathogenesis mechanism of PCOS.
format	article
author	Yanjun Zheng Yanjun Zheng Yanjun Zheng Yanjun Zheng Yanjun Zheng Yuehong Bian Yuehong Bian Yuehong Bian Yuehong Bian Yuehong Bian Richao Wu Richao Wu Richao Wu Richao Wu Richao Wu Wei Chen Wei Chen Wei Chen Wei Chen Wei Chen Linlin Fu Linlin Fu Linlin Fu Linlin Fu Linlin Fu Ping Li Ping Li Ping Li Ping Li Ping Li Ying Wang Ying Wang Ying Wang Ying Wang Ying Wang Xiao Yang Xiao Yang Xiao Yang Xiao Yang Xiao Yang Shigang Zhao Shigang Zhao Shigang Zhao Shigang Zhao Shigang Zhao Yuhua Shi Yuhua Shi Yuhua Shi Yuhua Shi Yuhua Shi
author_facet	Yanjun Zheng Yanjun Zheng Yanjun Zheng Yanjun Zheng Yanjun Zheng Yuehong Bian Yuehong Bian Yuehong Bian Yuehong Bian Yuehong Bian Richao Wu Richao Wu Richao Wu Richao Wu Richao Wu Wei Chen Wei Chen Wei Chen Wei Chen Wei Chen Linlin Fu Linlin Fu Linlin Fu Linlin Fu Linlin Fu Ping Li Ping Li Ping Li Ping Li Ping Li Ying Wang Ying Wang Ying Wang Ying Wang Ying Wang Xiao Yang Xiao Yang Xiao Yang Xiao Yang Xiao Yang Shigang Zhao Shigang Zhao Shigang Zhao Shigang Zhao Shigang Zhao Yuhua Shi Yuhua Shi Yuhua Shi Yuhua Shi Yuhua Shi
author_sort	Yanjun Zheng
title	High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
title_short	High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
title_full	High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
title_fullStr	High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
title_full_unstemmed	High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
title_sort	high-throughput sequencing profiles about lncrnas and mrnas of ovarian granulosa cells in polycystic ovary syndrome
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/3cda1d00bbdc478dacd369a22295c60b
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High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome

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