GEO DataSets

(Submitter supplied) 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.

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platform:

GPL21096

12 Samples

Download data: TXT

(Submitter supplied) Our study is the first one to determine genome-wide lncRNAs expression patterns in cumulus cells of PCOS patients by microarray. The results displayed that clusters of lncRNAs (n=623) were aberrantly expressed in PCOS patients compared with non-PCOS patients. Many differentially expressed lncRNAs were transcribed from regions on chromosome 2 and classified into enhancer-like lncRNA subgroup. XLOC_011402 (PWRN2) was found for the first time that it was not only expressed in testis but also in cumulus cells. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL19748

10 Samples

Download data: TXT

(Submitter supplied) 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:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4399

Platform:

GPL570

10 Samples

Download data: CEL

Analysis of granulosa cells from ovarian aspirates from polycystic ovary syndrome (PCOS) women undergoing in vitro fertilization. PCOS is an endocrine disorder associated with greater risk for infertility, diabetes and cardiovascular diseases. Results provide insight into molecular basis of PCOS.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL570

Series:

GSE34526

10 Samples

Download data: CEL

(Submitter supplied) The purpose of this study was to explore the difference in transcript profiles between the ovarian granulosa cells from healthy women and women with polycystic ovary syndrome (PCOS). Quantitative reverse transcription polymerase chain reaction (qRT–PCR) was applied to validate results of RNA sequencing in the present study.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

6 Samples

Download data: TXT

(Submitter supplied) We report the genome-wide AR recruitment patterns in pimary human GCs.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL11154

3 Samples

Download data: TXT

(Submitter supplied) In this study, to identify the target genes of PWRN2, we first constructed lentivirus shRNA vectors to infect the KGN cell lines to gain three KGN/shPWRN2 cell lines with down-regulated PWRN2 expression levels. Then, the expression profiles of mRNAs and lncRNAs in KGN/shPWRN2 cells were determined by microarray. The results revealed thousands of lncRNAs and mRNAs expressed in KGN/shPWRN2. The expression of 176 lncRNAs significantly changed in KGN/shPWRN2 cell lines relative to control NC cell lines. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platform:

GPL20115

6 Samples

Download data: TXT

(Submitter supplied) This study assessed the transcriptomic profiles of lutein granulosa cells (LGCs) from women with and without PCOS using Affymetrix microarray chips to provide novel information about the molecular changes that occur in these cells when they are treated with a D2-ag (Cb2) and to assess the signal transduction pathways regulated by this treatment. Transcriptomic analysis, using Affimetrix Human 1.0ST. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

16 Samples

Download data: CEL

(Submitter supplied) Context: Polycystic ovarian syndrome (PCOS), the most common endocrine disorder of reproductive- aged women, is associated with systemic low-grade inflammation. Objective: We propose that increased or altered intrafollicular inflammatory reactions also occur in periovulatory follicles of PCOS patients. Design: Gene profiling and quantitative PCR (qPCR) analyses in granulosa-lutein cells (GCs) collected from PCOS and non-PCOS women undergoing in vitro fertilization were compared with serum and follicular fluid (FF) levels of cytokines and chemokines. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

6 Samples

Download data: CEL

(Submitter supplied) Ovulation disorder is the main characteristic of polycystic ovary syndrome (PCOS), but the concrete molecular mechanism is unclear. Phosphoglycerate kinase 1 (PGK1) plays an important role in the process of glycolytic cycles. Androgen and androgen receptor (AR) are considered as one of the critical factors in the prevalence of hyperandrogenemia and follicular development, and whether PGK1 participates in the metabolic reaction via AR in PCOS remains vague. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20795

6 Samples

Download data: TXT

(Submitter supplied) The aim of this study was to gain further insight into the mechanisms leading to metabolic dysfunction in skeletal muscle in PCOS, and to determine whether primary myotubes retain the gene expression signature of PCOS in vivo. We investigated the transcriptomic profile of skeletal muscle tissue and primary myotube cultures from insulin resistant women with PCOS compared to healthy controls.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

24 Samples

Download data: TSV, XLSX

(Submitter supplied) 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.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

16 Samples

Download data: CEL

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL16791

40 Samples

Download data: TXT

(Submitter supplied) Short-term dietary supplementation of female sheep during the luteal phase can increase fertility and most probably by stimulating glucose uptake by the follicles. However, the molecular mechanism of glucose regulates follicular development has not yet been clarified, especially the further study of long non-coding RNA (lncRNA) in determining fertility during follicular development. We generated GCs models of different doses of glucose (0, 2.1, 4.2, 8.4, 16.8 and 33.6 mM), and observed that the highest cell viability was recorded in the 8.4 mM group and the highest apoptosis rates were recorded in the 33.6 mM groups. more...

Organism:

Ovis aries

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23810

9 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platform:

GPL13112

15 Samples

Download data

(Submitter supplied) To investigate the molecular mechanism of PCOS underlying the hyperandrogenic phenotype, prenatally androgenized (PNA) mice were used to mimic this phenotype in women with PCOS. Methylated DNA binding domain sequencing (MBD-seq) and RNA-seq were performed on PNA mice (n=6) and control group (n=4) and validations were applied on ovarian samples from PNA mice (n=6) and control group (n=6) using MSP (methylation-specific PCR) and qPCR. more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL13112

10 Samples

Download data: XLSX

(Submitter supplied) To investigate the molecular mechanism of PCOS underlying the hyperandrogenic phenotype, prenatally androgenized (PNA) mice were used to mimic this phenotype in women with PCOS. Methylated DNA binding domain sequencing (MBD-seq) and RNA-seq were performed on PNA mice (n=6) and control group (n=4) and validations were applied on ovarian samples from PNA mice (n=6) and control group (n=6) using MSP (methylation-specific PCR) and qPCR. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13112

5 Samples

Download data: XLSX

(Submitter supplied) 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.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

6 Samples

Download data: CEL

(Submitter supplied) Our study is designed to demonstrate altered profiles of lncRNAs in the granulosa cells from patients with bPOI. Functional studies will be further confirmed. This study will provide new viewpoint for understanding the roles of non-coding RNA for GCs function, as well as potential etiologic mechanism for POI.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by array

Platform:

GPL16956

20 Samples

Download data: TXT