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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196149/ https://www.ncbi.nlm.nih.gov/pubmed/25051372 |
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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 |
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