GEO DataSets

(Submitter supplied) Objective: The etiology of PCOS is mostly unknown. Existing data support both genetic and environmental factors in its pathogenesis. Design: Prospective case - control study. Setting: University Hospital. Patients: 25 patients undergoing IVF-ICSI treatment. Intervention: Genome-wide oligonucleotide microarray technology was used to study differential gene-expression patterns of cultured human cumulus cells from IVF patients divided into 4 groups according to disease state (PCOS vs. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3841

Platform:

GPL570

23 Samples

Download data: CEL

Analysis of cumulus cells from lean and overweight-obese polycystic ovary syndrome (PCOS) patients undergoing in vitro fertilization (IVF). PCOS is a heterogeneous endocrinopathy in women of reproductive age, mostly associated with ovulation failure. Results provide insight into PCOS pathogenesis.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 2 other sets

Platform:

GPL570

Series:

GSE10946

23 Samples

Download data: CEL

(Submitter supplied) Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that is characterized by increased circulating androgen levels, anovulatory infertility, and frequently, insulin resistance and hyperinsulinemia.The abnormity of oocyte nuclear maturity is the main reason for anovulatory infertility and pregnancy loss in PCOS patients.The bidirectional exchanges between oocyte and contiguous CCs are important for oocyte competence acquisition, early embryonic development and CC expansion.Gene expression profiles of CCs has been suggested to predict embryo development and pregnancy outcome. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

6 Samples

Download data: CEL

(Submitter supplied) Recently, abnormalities in mitochondrial oxidative phosphorylation (OXPHOS) have been implicated in the pathogenesis of skeletal muscle insulin resistance in type 2 diabetes. In the present study, we hypothesized that decreased expression of OXPHOS genes could be of similar importance for insulin resistance in the polycystic ovary syndrome (PCOS). Using the HG-U133 Plus 2.0 expression array from Affymetrix, we analyzed gene expression in skeletal muscle from obese women with PCOS (n=16) and age- and body mass index-matched control women (n=13) metabolically characterized by euglycemic-hyperinsulinemic clamp and indirect calorimetry. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3104

Platform:

GPL570

29 Samples

Download data: CEL

Analysis of vastus lateralis muscles from women with insulin-resistant polycystic ovary syndrome (PCOS). Insulin resistance in skeletal muscles is a risk factor for the development of type 2 diabetes in women with PCOS. Results provide insight into the pathogenesis of insulin resistance in PCOS.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL570

Series:

GSE6798

29 Samples

Download data: CEL

(Submitter supplied) To reveal microRNAs expression differences in cumulus cells between polycystic ovary syndrome (PCOS) and non-PCOS women. miRNAs expression profile of the cumulus cell samples with PCOS and non-PCOS were determined by Affymetrix miRNA 2.0.

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL14613

6 Samples

Download data: CEL, 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) To identify the altered miRNA expression profiles of PCOS patients, the differentially expressed miRNAs were identified from cumulus cells of PCOS patients by comparing to that of normal women.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL16543

10 Samples

Download data: TXT

(Submitter supplied) Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that affects 5-10% of reproductive aged women. The hallmark characteristic of PCOS is increased ovarian androgen synthesis. Previous studies by our laboratory demonstrated that increased androgen synthesis is a stable biochemical phenotype of PCOS theca cells which are the primary source of ovarian androgen production. The increase in theca cell steroidogenesis was due to an increase in expression of several steroidogenic enzymes including CYP17 and CYP11A but not StAR. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS1050 GDS1051

Platforms:

GPL96 GPL97

26 Samples

Download data: CEL, EXP

Analysis of normal theca cells treated with 500 uM valproic acid (VPA), an anti-epilipetic that induces polycystic ovary syndrome (PCOS)-like symptoms. Theca cells from PCOS patients also examined. Results provide insight into the underlying mechanisms contributing to VPA-induced PCOS-like symptoms.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent, 2 disease state sets

Platform:

GPL97

Series:

GSE1615

13 Samples

Download data: CEL, EXP

Analysis of normal theca cells treated with 500 uM valproic acid (VPA), an anti-epilipetic that induces polycystic ovary syndrome (PCOS)-like symptoms. Theca cells from PCOS patients also examined. Results provide insight into the underlying mechanisms contributing to VPA-induced PCOS-like symptoms.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent, 2 disease state sets

Platform:

GPL96

Series:

GSE1615

13 Samples

Download data: CEL, EXP

(Submitter supplied) d-serine is naturally present throughout the human body. It is also used as add-on therapy for treatment-refractory schizophrenia. d-Serine interacts with the strychnine-insensitive glycine binding site of NMDA receptor, and this interaction could lead to potentially toxic activity (i.e., excitotoxicity) in brain tissue. The transcriptomic changes that occur in the brain after d-serine exposure have not been fully explored. more...

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Dataset:

GDS3643

Platform:

GPL1355

24 Samples

Download data: CEL

Analysis of forebrains of animals treated with up to 500 mg/kg D-serine for 96 hours. D-serine is involved in many physiological processes through its interaction with the glycine binding site of the NMDA receptor. Results provide insight into the impact of D-serine exposure on neuronal functions.

Organism:

Rattus norvegicus

Type:

Expression profiling by array, count, 2 agent, 6 dose sets

Platform:

GPL1355

Series:

GSE10748

24 Samples

Download data: CEL

(Submitter supplied) Context: Endometrium in polycystic ovary syndrome (PCOS) presents altered gene expression indicating progesterone resistance and predisposing to reduced endometrial receptivity and endometrial cancer. Objective: We hypothesized that an altered endocrine/metabolic environment in PCOS may result in an endometrial “disease phenotype” affecting the gene expression of different endometrial cell populations, including stem cells and their differentiated progeny. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4987

Platform:

GPL6244

29 Samples

Download data: CEL

Analysis of FACS-sorted endometrial cell types from proliferative phase endometrial biopsies collected from overweight/obese women with PCOS. Results provide insight into the molecular mechanisms underlying an endometrial disease phenotype in women with PCOS.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 4 cell type, 2 disease state sets

Platform:

GPL6244

Series:

GSE48301

29 Samples

Download data: CEL

(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) Impact of the obesity on RNA total levels of male SHHF left ventricular aged from 4 and 10 months old. Keywords: Comparative cDNA hybridization

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Dataset:

GDS2542

Platform:

GPL2580

20 Samples

Download data: XLS

Analysis of left heart ventricles of 4 and 10-month old SHHF obese animals homozygous for leptin receptor (ObR) mutation. This mutant is obese at 4 months of age and prone to heart failure after 14 months. Results provide insight into molecular basis of the contribution of obesity to heart failure.

Organism:

Rattus norvegicus

Type:

Expression profiling by array, count, 2 age, 2 disease state sets

Platform:

GPL2580

Series:

GSE2876

20 Samples

Download data: XLS

(Submitter supplied) In this study, we have tested the variation in gene expression signatures in human injured meniscus with age and degree of chondrosis in the knee. We found several genes that were differentially regulated with each of these factors and they represent important biological pathways in osteoarthritis research.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

12 Samples

Download data: TXT

(Submitter supplied) We aimed to predict obesity risk with genetic data, specifically, obesity-associated gene expression profiles. Genetic risk score was computed. The genetic risk score was significantly correlated with BMI when an optimization algorithm was used. Linear regression and built support vector machine models predicted obesity risk using gene expression profiles and the genetic risk score with a new mathematical method.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

84 Samples

Download data: CEL