scholarly journals Functional microarray analysis of differentially expressed genes in granulosa cells from women with polycystic ovary syndrome related to MAPK/ERK signaling

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Chen-Wei Lan ◽  
Mei-Jou Chen ◽  
Kang-Yu Tai ◽  
Danny CW Yu ◽  
Yu-Chieh Yang ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Differentially Expressed Genes ◽  
Microarray Analysis ◽  
Granulosa Cells ◽  
Polycystic Ovary ◽  
Differentially Expressed ◽  
Erk Signaling ◽  
Ovary Syndrome

scholarly journals Multiomics Analysis Reveals Molecular Abnormalities in Granulosa Cells of Women With Polycystic Ovary Syndrome

2021 ◽  
Vol 12 ◽  
Author(s):  
Rusong Zhao ◽  
Yonghui Jiang ◽  
Shigang Zhao ◽  
Han Zhao
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Granulosa Cells ◽  
Polycystic Ovary ◽  
Reproductive Age ◽  
Differentially Expressed ◽  
Steroid Biosynthesis ◽  
Expression Array ◽  
Ovary Syndrome ◽  
Molecular Abnormalities ◽  
Genome Wide

Polycystic ovary syndrome (PCOS) is the most common complex endocrine and metabolic disease in women of reproductive age. It is characterized by anovulatory infertility, hormone disorders, and polycystic ovarian morphology. Regarding the importance of granulosa cells (GCs) in the pathogenesis of PCOS, few studies have investigated the etiology at a single “omics” level, such as with an mRNA expression array or methylation profiling assay, but this can provide only limited insights into the biological mechanisms. Here, genome-wide DNA methylation together with lncRNA-miRNA-mRNA profiles were simultaneously detected in GCs of PCOS cases and controls. A total of 3579 lncRNAs, 49 miRNAs, 669 mRNAs, and 890 differentially methylated regions (DMR)-associated genes were differentially expressed between PCOS cases and controls. Pathway analysis indicated that these differentially expressed genes were commonly associated with steroid biosynthesis and metabolism-related signaling, such as glycolysis/gluconeogenesis. In addition, we constructed ceRNA networks and identified some known ceRNA axes, such as lncRNAs-miR-628-5p-CYP11A1/HSD17B7. We also identified many new ceRNA axes, such as lncRNAs-miR-483-5p-GOT2. Interestingly, most ceRNA axes were also closely related to steroid biosynthesis and metabolic pathways. These findings suggest that it is important to systematically consider the role of reproductive and metabolic genes in the pathogenesis of PCOS.

Decreased MicroRNA-125b-5p Disrupts Follicle Steroidogenesis Through Targeting Pak3/ERK Signaling in Polycystic Ovary Syndrome

2019 ◽  
Author(s):  
Xiaoqian Zhang ◽  
Hua Xiao ◽  
Qiukai E ◽  
Xuefeng Gong ◽  
Xiaoyan Ying ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Erk Signaling ◽  
Ovary Syndrome

MiR-29a regulates the proliferation, aromatase expression, and estradiol biosynthesis of human granulosa cells in polycystic ovary syndrome

2019 ◽  
Vol 498 ◽  
pp. 110540 ◽  
Author(s):  
Ying Li ◽  
Yu-dong Liu ◽  
Xing-yu Zhou ◽  
Shi-ling Chen ◽  
Xin Chen ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Granulosa Cells ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Aromatase Expression ◽  
Human Granulosa Cells

scholarly journals Molecular Abnormalities in Oocytes from Women with Polycystic Ovary Syndrome Revealed by Microarray Analysis

2006 ◽  
Vol 92 (2) ◽  
pp. 705-713 ◽  
Author(s):  
Jennifer R. Wood ◽  
Daniel A. Dumesic ◽  
David H. Abbott ◽  
Jerome F. Strauss
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Microarray Analysis ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Molecular Abnormalities

Hyperexpression of epidermal growth factor receptors in granulosa cells from women with polycystic ovary syndrome

1998 ◽  
Vol 70 (4) ◽  
pp. 750-758 ◽  
Author(s):  
Ghanim Almahbobi ◽  
Aileen Misajon ◽  
Paul Hutchinson ◽  
Nicholas Lolatgis ◽  
Alan O Trounson
Keyword(s):  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Polycystic Ovary Syndrome ◽  
Granulosa Cells ◽  
Polycystic Ovary ◽  
Growth Factor Receptors ◽  
Epidermal Growth Factor Receptors ◽  
Ovary Syndrome ◽  
Epidermal Growth
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