Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is a complex, heterogeneous disorder of uncertain etiology. Recent studies suggested that insulin resistance (IR) plays an important role in the development of PCOS. In the current study, we aimed to investigate the molecular mechanism of IR in PCOS. We employed geno...

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Autores principales:	Hao-Ran Shen, Li-Hua Qiu, Zhi-Qing Zhang, Yuan-Yuan Qin, Cong Cao, Wen Di
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4dbd79dd9dd84305a85154440c6feba8
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spelling	oai:doaj.org-article:4dbd79dd9dd84305a85154440c6feba82021-11-18T07:45:03ZGenome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.1932-620310.1371/journal.pone.0064801https://doaj.org/article/4dbd79dd9dd84305a85154440c6feba82013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23705014/?tool=EBIhttps://doaj.org/toc/1932-6203Polycystic ovary syndrome (PCOS) is a complex, heterogeneous disorder of uncertain etiology. Recent studies suggested that insulin resistance (IR) plays an important role in the development of PCOS. In the current study, we aimed to investigate the molecular mechanism of IR in PCOS. We employed genome-wide methylated DNA immunoprecipitation (MeDIP) analysis to characterize genes that are differentially methylated in PCOS patients vs. healthy controls. Besides, we also identified the differentially methylated genes between patients with PCOS-non-insulin resistance (PCOS-NIR) and PCOS-insulin resistance (PCOS-IR). A total of 79 genes were differentially methylated between PCOS-NIR vs. PCOS-IR patients, and 40 genes were differentially methylated in PCOS patients vs. healthy controls. We analyzed these differentially methylated genes by constructing regulatory networks and protein-protein interaction (PPI) networks. Further, Gene Ontology (GO) and pathway enrichment analysis were also performed to investigate the biological functions of networks. We identified multiple categories of genes that were differentially methylated between PCOS-NIR and PCOS-IR patients, or between PCOS patients and healthy controls. Significantly, GO categories of immune response were differentially methylated in PCOS-IR vs. PCOS-NIR. Further, genes in cancer pathways were also differentially methylated in PCOS-NIR vs. PCOS-IR patients or in PCOS patients vs. healthy controls. The results of this current study will help to further understand the mechanism of PCOS.Hao-Ran ShenLi-Hua QiuZhi-Qing ZhangYuan-Yuan QinCong CaoWen DiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e64801 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hao-Ran Shen Li-Hua Qiu Zhi-Qing Zhang Yuan-Yuan Qin Cong Cao Wen Di Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.
description	Polycystic ovary syndrome (PCOS) is a complex, heterogeneous disorder of uncertain etiology. Recent studies suggested that insulin resistance (IR) plays an important role in the development of PCOS. In the current study, we aimed to investigate the molecular mechanism of IR in PCOS. We employed genome-wide methylated DNA immunoprecipitation (MeDIP) analysis to characterize genes that are differentially methylated in PCOS patients vs. healthy controls. Besides, we also identified the differentially methylated genes between patients with PCOS-non-insulin resistance (PCOS-NIR) and PCOS-insulin resistance (PCOS-IR). A total of 79 genes were differentially methylated between PCOS-NIR vs. PCOS-IR patients, and 40 genes were differentially methylated in PCOS patients vs. healthy controls. We analyzed these differentially methylated genes by constructing regulatory networks and protein-protein interaction (PPI) networks. Further, Gene Ontology (GO) and pathway enrichment analysis were also performed to investigate the biological functions of networks. We identified multiple categories of genes that were differentially methylated between PCOS-NIR and PCOS-IR patients, or between PCOS patients and healthy controls. Significantly, GO categories of immune response were differentially methylated in PCOS-IR vs. PCOS-NIR. Further, genes in cancer pathways were also differentially methylated in PCOS-NIR vs. PCOS-IR patients or in PCOS patients vs. healthy controls. The results of this current study will help to further understand the mechanism of PCOS.
format	article
author	Hao-Ran Shen Li-Hua Qiu Zhi-Qing Zhang Yuan-Yuan Qin Cong Cao Wen Di
author_facet	Hao-Ran Shen Li-Hua Qiu Zhi-Qing Zhang Yuan-Yuan Qin Cong Cao Wen Di
author_sort	Hao-Ran Shen
title	Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.
title_short	Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.
title_full	Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.
title_fullStr	Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.
title_full_unstemmed	Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.
title_sort	genome-wide methylated dna immunoprecipitation analysis of patients with polycystic ovary syndrome.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/4dbd79dd9dd84305a85154440c6feba8
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Genome-wide methylated DNA immunoprecipitation analysis of patients with polycystic ovary syndrome.

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