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Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells

Polycystic ovary syndrome (PCOS) is a metabolic and endocrine disorder which affects women of reproductive age with prevalence of 8–18%. The oocyte within the follicle is surrounded by cumulus cells (CCs), which connect with mural granulosa cells (MGCs) that are responsible for secreting steroid hor...

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Autores principales: Aydos, Alp, Gurel, Aykut, Oztemur Islakoglu, Yasemin, Noyan, Senem, Gokce, Bagdagul, Ecemis, Tolga, Kaya, Cemil, Aksu, Arif Tarik, Gur Dedeoglu, Bala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173369/
https://www.ncbi.nlm.nih.gov/pubmed/27997581
http://dx.doi.org/10.1371/journal.pone.0168875
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author Aydos, Alp
Gurel, Aykut
Oztemur Islakoglu, Yasemin
Noyan, Senem
Gokce, Bagdagul
Ecemis, Tolga
Kaya, Cemil
Aksu, Arif Tarik
Gur Dedeoglu, Bala
author_facet Aydos, Alp
Gurel, Aykut
Oztemur Islakoglu, Yasemin
Noyan, Senem
Gokce, Bagdagul
Ecemis, Tolga
Kaya, Cemil
Aksu, Arif Tarik
Gur Dedeoglu, Bala
author_sort Aydos, Alp
collection PubMed
description Polycystic ovary syndrome (PCOS) is a metabolic and endocrine disorder which affects women of reproductive age with prevalence of 8–18%. The oocyte within the follicle is surrounded by cumulus cells (CCs), which connect with mural granulosa cells (MGCs) that are responsible for secreting steroid hormones. The main aim of this study is comparing gene expression profiles of MGCs and CCs in PCOS and control samples to identify PCOS-specific differentially expressed genes (DEGs). In this study, two microarray databases were searched for mRNA expression microarray studies performed with CCs and MGCs obtained from PCOS patients and control samples. Three independent studies were selected to be integrated with naive meta-analysis since raw meta-data from these studies were found to be highly correlated. DEGs in these somatic cells were identified for PCOS and control groups. This study enabled us to reveal dysregulation in MAPK (mitogen activated protein kinase), insulin and Wnt signaling pathways between CCs and MGCs in PCOS. The meta-analysis results together with qRT-PCR validations provide evidence that molecular signaling is dysregulated through MGCs and CCs in PCOS, which is important for follicle and oocyte maturation and may contribute to the pathogenesis of the syndrome.
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spelling pubmed-51733692017-01-04 Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells Aydos, Alp Gurel, Aykut Oztemur Islakoglu, Yasemin Noyan, Senem Gokce, Bagdagul Ecemis, Tolga Kaya, Cemil Aksu, Arif Tarik Gur Dedeoglu, Bala PLoS One Research Article Polycystic ovary syndrome (PCOS) is a metabolic and endocrine disorder which affects women of reproductive age with prevalence of 8–18%. The oocyte within the follicle is surrounded by cumulus cells (CCs), which connect with mural granulosa cells (MGCs) that are responsible for secreting steroid hormones. The main aim of this study is comparing gene expression profiles of MGCs and CCs in PCOS and control samples to identify PCOS-specific differentially expressed genes (DEGs). In this study, two microarray databases were searched for mRNA expression microarray studies performed with CCs and MGCs obtained from PCOS patients and control samples. Three independent studies were selected to be integrated with naive meta-analysis since raw meta-data from these studies were found to be highly correlated. DEGs in these somatic cells were identified for PCOS and control groups. This study enabled us to reveal dysregulation in MAPK (mitogen activated protein kinase), insulin and Wnt signaling pathways between CCs and MGCs in PCOS. The meta-analysis results together with qRT-PCR validations provide evidence that molecular signaling is dysregulated through MGCs and CCs in PCOS, which is important for follicle and oocyte maturation and may contribute to the pathogenesis of the syndrome. Public Library of Science 2016-12-20 /pmc/articles/PMC5173369/ /pubmed/27997581 http://dx.doi.org/10.1371/journal.pone.0168875 Text en © 2016 Aydos et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Aydos, Alp
Gurel, Aykut
Oztemur Islakoglu, Yasemin
Noyan, Senem
Gokce, Bagdagul
Ecemis, Tolga
Kaya, Cemil
Aksu, Arif Tarik
Gur Dedeoglu, Bala
Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
title Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
title_full Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
title_fullStr Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
title_full_unstemmed Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
title_short Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
title_sort identification of polycystic ovary syndrome (pcos) specific genes in cumulus and mural granulosa cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173369/
https://www.ncbi.nlm.nih.gov/pubmed/27997581
http://dx.doi.org/10.1371/journal.pone.0168875
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