Cargando…

Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development

Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women. However, the epigenetic mechanism involved in PCOS progression remains largely unknown. Here, combining the DNA methylation profiling together with transcriptome analysis, we showed that (i) there were 7929 diff...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xiu-Xia, Wei, Jing-Zan, Jiao, Jiao, Jiang, Shu-Yi, Yu, Da-Hai, Li, Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196149/
https://www.ncbi.nlm.nih.gov/pubmed/25051372
_version_ 1782339434144858112
author Wang, Xiu-Xia
Wei, Jing-Zan
Jiao, Jiao
Jiang, Shu-Yi
Yu, Da-Hai
Li, Da
author_facet Wang, Xiu-Xia
Wei, Jing-Zan
Jiao, Jiao
Jiang, Shu-Yi
Yu, Da-Hai
Li, Da
author_sort Wang, Xiu-Xia
collection PubMed
description Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women. However, the epigenetic mechanism involved in PCOS progression remains largely unknown. Here, combining the DNA methylation profiling together with transcriptome analysis, we showed that (i) there were 7929 differentially methylated CpG sites (β > 0.1, P < 0.05) and 650 differential transcripts (fold change > 1.5, P < 0.005) in PCOS compared to normal ovaries; (ii) 54 genes were identified with methylated levels that were correlated with gene transcription in PCOS; and (iii) there were less hypermethylated sites, but many more hypomethylated sites residing in CpG islands and N_Shore in PCOS. Among these genes, we identified that several significant pathways, including the type I diabetes mellitus pathway, p53 signaling pathway and NOD-like receptor signaling pathway, and some immune and inflammatory diseases may be highly involved in PCOS development. These results suggested that differences in genome-wide DNA methylation and expression patterns exist between PCOS ovaries and normal ovaries; epigenetic mechanisms may in part be responsible for the different gene expression and PCOS phenotype. All of this may improve our understanding of the basic molecular mechanism underlying the development of PCOS.
format Online
Article
Text
id pubmed-4196149
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-41961492014-10-21 Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development Wang, Xiu-Xia Wei, Jing-Zan Jiao, Jiao Jiang, Shu-Yi Yu, Da-Hai Li, Da Oncotarget Clinical Research Paper Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women. However, the epigenetic mechanism involved in PCOS progression remains largely unknown. Here, combining the DNA methylation profiling together with transcriptome analysis, we showed that (i) there were 7929 differentially methylated CpG sites (β > 0.1, P < 0.05) and 650 differential transcripts (fold change > 1.5, P < 0.005) in PCOS compared to normal ovaries; (ii) 54 genes were identified with methylated levels that were correlated with gene transcription in PCOS; and (iii) there were less hypermethylated sites, but many more hypomethylated sites residing in CpG islands and N_Shore in PCOS. Among these genes, we identified that several significant pathways, including the type I diabetes mellitus pathway, p53 signaling pathway and NOD-like receptor signaling pathway, and some immune and inflammatory diseases may be highly involved in PCOS development. These results suggested that differences in genome-wide DNA methylation and expression patterns exist between PCOS ovaries and normal ovaries; epigenetic mechanisms may in part be responsible for the different gene expression and PCOS phenotype. All of this may improve our understanding of the basic molecular mechanism underlying the development of PCOS. Impact Journals LLC 2014-07-16 /pmc/articles/PMC4196149/ /pubmed/25051372 Text en Copyright: © 2014 Wang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Clinical Research Paper
Wang, Xiu-Xia
Wei, Jing-Zan
Jiao, Jiao
Jiang, Shu-Yi
Yu, Da-Hai
Li, Da
Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development
title Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development
title_full Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development
title_fullStr Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development
title_full_unstemmed Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development
title_short Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development
title_sort genome-wide dna methylation and gene expression patterns provide insight into polycystic ovary syndrome development
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196149/
https://www.ncbi.nlm.nih.gov/pubmed/25051372
work_keys_str_mv AT wangxiuxia genomewidednamethylationandgeneexpressionpatternsprovideinsightintopolycysticovarysyndromedevelopment
AT weijingzan genomewidednamethylationandgeneexpressionpatternsprovideinsightintopolycysticovarysyndromedevelopment
AT jiaojiao genomewidednamethylationandgeneexpressionpatternsprovideinsightintopolycysticovarysyndromedevelopment
AT jiangshuyi genomewidednamethylationandgeneexpressionpatternsprovideinsightintopolycysticovarysyndromedevelopment
AT yudahai genomewidednamethylationandgeneexpressionpatternsprovideinsightintopolycysticovarysyndromedevelopment
AT lida genomewidednamethylationandgeneexpressionpatternsprovideinsightintopolycysticovarysyndromedevelopment