Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa Cells
Autor: | Aykut Gurel, Bala Gur Dedeoglu, Senem Noyan, Bagdagul Gokce, Arif Tarik Aksu, Yasemin Oztemur Islakoglu, Cemil Kaya, Alp Aydos, Tolga Ecemis |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Cell signaling Microarray endocrine system diseases Physiology Microarrays Gene Expression lcsh:Medicine Signal transduction Mathematical and Statistical Techniques Endocrinology Animal Cells Medicine and Health Sciences lcsh:Science Wnt Signaling Pathway WNT Signaling Cascade Regulation of gene expression Cumulus Cells Multidisciplinary Polycystic ovary syndrome (PCOS) Wnt signaling pathway Signaling cascades Polycystic ovary Bioassays and Physiological Analysis Oncology OVA Physical Sciences Female Cellular Types Statistics (Mathematics) Research Article Polycystic Ovary Syndrome Cell biology MAPK signaling cascades MAP Kinase Signaling System Biology Research and Analysis Methods Andrology 03 medical and health sciences Follicle Insulin resistance Genetics medicine Humans Statistical Methods Biology and life sciences Endocrine Physiology Insulin Signaling lcsh:R Cancers and Neoplasms medicine.disease Germ Cells 030104 developmental biology Gene Expression Regulation Oocytes lcsh:Q Gynecological Tumors Mathematics Meta-Analysis Hormone |
Zdroj: | PLoS ONE, Vol 11, Iss 12, p e0168875 (2016) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | 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. |
Databáze: | OpenAIRE |
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