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
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