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Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

ABSTRACT: Polycystic ovary Syndrome (PCOS) is a heterogeneous endocrine disorder that shows evidence of genetic predidposition among affected individuals. We have utilized the Microarray data from granulosa cells of normal and PCOS women for network construction.

ORGANISM(S): Homo sapiens

PROVIDER: GSE34526 | GEO | 2012/11/06

SECONDARY ACCESSION(S): PRJNA151397

REPOSITORIES: GEO

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Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

Project description:Polycystic ovary Syndrome (PCOS) is a heterogeneous endocrine disorder that shows evidence of genetic predidposition among affected individuals. We have utilized the Microarray data from granulosa cells of normal and PCOS women for network construction. Human granulosa cells were isolated from ovarian aspirates from normal and PCOS women undergoing IVF and for each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.

2012-11-06 | E-GEOD-34526 | biostudies-arrayexpress

Coding and Non-coding gene expression signatures of granulosa cells from Polycystic Ovary Syndrome Patients

Project description:Polycystic ovary syndrome (PCOS), one of the most common endocrinal diseases among reproductive-aged women,is characterized by hyperandrogenemia, chronic oligo/anovulation and polycystic ovarian morphology. In this research, we presented microarrays to identify the differential expressed protein-coding genes and lncRNAs expression profile in the luteinized granulosa cells obtained from PCOS and healthy control patients.

2018-10-30 | GSE114419 | GEO

Different gene expression profiles of granulosa cells in Chinese obese patients with or without polycystic ovary syndrome

Project description:Obese or polycystic ovary syndrome (PCOS) women have encountered poor reproductive outcomes in natural as well as assisted conception. Furthermore, pregnancy complications of women with PCOS are profoundly worsened by obesity. Both obesity and PCOS affect function of granulosa cells, which is essential in offering the oocyte with nutrients and growth regulators.

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Whole genomic DNA methylation analysis across human polycystic ovary syndrome ovary granulosa cells [MBD-seq]

Project description:Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Our study identifies epigenetic alternation in ovarian granulosa cells from PCOS patients and helps to reveal the pathogenesis of PCOS.

2019-10-09 | GSE138573 | GEO

Identification of microRNAs involved in polycystic ovary syndrome based on High-throughput sequencing [miRNA-seq]

Project description:Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Few studies have reported that the regulation of miRNAs in polycystic ovary syndrome(PCOS). Our study helps to understand the molecular pathogenesis of PCOS in human ovarian granulosa cells from the perspective of post-transcriptional level.

2019-10-09 | GSE138572 | GEO

Transcriptome Profiling Reveals the key genes and pathways involved in polycystic ovary syndrome [RNA-seq]

Project description:Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Few studies have reported that the key genes and pathways involved in polycystic ovary syndrome(PCOS). Our study helps to understand the molecular pathogenesis of PCOS in human ovarian granulosa cells and identifiy genes and pathways that may be potential therapeutic targets for PCOS treatment..

2019-10-08 | GSE138518 | GEO

Multiomics analysis reveals molecular abnormalities in granulosa cells of women with polycystic ovary syndrome

Project description: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.

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Prenatal androgen exposure and transgenerational susceptibility to polycystic ovary syndrome

Project description:The effects of how obesity and elevated androgen levels in women with polycystic ovary syndrome (PCOS) affect their offspring are unclear. We found that daughters of PCOS mothers are more likely to be diagnosed with PCOS in a Swedish nationwide register-based cohort and a clinical case-control study from Chile. Further, female mice (F0) with PCOS-like traits induced by late gestation injection of dihydrotestosterone, with and without obesity, produced female F1–F3 offspring with a PCOS-like reproductive and metabolic phenotypes. Sequencing of single MII oocytes from F1–F3 offspring revealed common and unique altered gene expression across all generations. Notably, four genes were also differentially expressed in serum samples from daughters in the case-control study and unrelated women with PCOS. Our findings provide evidence of transgenerational effects in female offspring of PCOS mothers and identify possible candidate genes for the prediction of a PCOS phenotype in future generations.

2019-10-30 | GSE133100 | GEO

Profiles for long noncoding RNAs in ovarian granulosa cells from polycystic ovary syndrome patients with different serum concentrations of androgen

Project description:Polycystic ovary syndrome (PCOS) is a common reproductive system disease, with hyperandrogenism as the core feature. The pathologies remain to be illustrated. Long noncoding RNAs (lncRNAs) has been proved to be involved in various biological processes of human diseases. However, there were few reports about the research on lncRNAs in PCOS, not to mention hyperandrogenism.

2017-11-10 | GSE106724 | GEO

Differential genes in adipocytes induced from polycystic ovary syndrome-derived and non- polycystic ovary syndrome-derived human embryonic stem cells

Project description:To explore the molecular mechanisms of obesity and insulin resistance in the patients with polycystic ovary syndrome (PCOS) at the level of human embryonic stem cells (hESCs).Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.There were 153 differential genes. Of the 153 genes, 91 genes were up-regulated and 62 down-regulated. Nuclear receptor subfamily 0, group B, member 2 (NR0B2) was an up-regulated gene, and GeneChip software system indicated that it was associated with obesity and diabetes. Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.

2013-11-22 | E-GEOD-52422 | biostudies-arrayexpress

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