Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1315258 | ENA |
REPOSITORIES: ENA
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Project description:This experiment was designed to study if there are differences in gene expression in the adipose tissue of women affected by polycystic ovary syndrome (PCOS) compared to non-hyperandrogenic women. PCOS is the most common endocrinopathy in women of reproductive age, and is characterized by hyperandrogenism and chronic anovulation. This disease is frequently associated with obesity, insulin resistance, and defects in insulin secretion, predisposing these women to type 2 diabetes, atherosclerosis, and cardiovascular disease. We have applied high-density oligonucleotide arrays to omental adipose tissue samples obtained from eight morbidly obese PCOS patients and seven morbidly obese non-PCOS women at the time of bariatric surgery. Keywords: Disease state analysis
2006-06-17 | GSE5090 | GEO
Project description:Quantitative proteomics of Blood+DIA in follicular fluid samples from non-PCOS patients, PCOS patients, and obese PCOS patients
2024-04-25 | PXD051753 |
Project description:Polycystic ovary syndrome (PCOS) is a common disorder encompassing reproductive, metabolic, and endocrine abnormalities, affecting 5 to 10% of women of reproductive age.To reveal the differences in proteomic profiles of follicular fluid between patients with and without PCOS and explore possible mechanisms underlying PCOS.Follicular fluid samples were collected from 9 infertile patients with PCOS and 9 infertile patients without PCOS. Quantitative proteomics analysis based on mass spectrometry was used to measure the protein levels and understand the protein networks. The tandem mass tag (TMT) based proteomics technology and bioinformatics analysis were used to determine the differentially expressed proteins(DEPs). : In this study, we have identified a total of 1216 proteins,these included 70 DEPs, in which 32 proteins were upregulated, and 38 proteins were downregulated. The bioinformatics analyses revealed multiple biological functions associated with these DEPs, some DEPs were enriched in the immune and metabolic-related biological processes in PCOS patients.
2022-10-14 | PXD031996 | Pride
Project description: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.
2015-04-28 | GSE68285 | GEO
Project description: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. Control) and BMI (Obese vs. Lean). Results: Two differential PCOS gene expression profiles were established: Lean-Type was formed by comparing PCOS lean (PL) vs. non-PCOS lean (NL) individuals; Obese-Type was formed by comparing PCOS obese (PO) vs. non-PCOS (NO) obese patients. Conclusions: Different molecular pathways are associated with PCOS in Lean and Obese individuals, as demonstrated by gene expression profiling of cumulus cells. Our findings provide insights into the molecular pathogenesis of PCOS. We used microarrays to study the gene expression of human cultured cumulus cells. We compared the genes expression of lean PCOS, Obese PCOS, lean controls and obese controls. Different molecular pathways are associated with PCOS in Lean and Obese patients. Experiment Overall Design: Cumulus cells obtained from woman undergoing IVF/ICSI. Following oocyte retrieval, cumulus cells were stripped from the oocyte, in preparation for the ICSI process, with a micropipette. After 48h in culture the cumulus cells were collected for RNA extraction and hybridization on Affymetrix microarrays. We compered the expression profile of 4 groups - lean PCOS, obese PCOS, lean controls and obese controls.
2008-06-11 | E-GEOD-10946 | biostudies-arrayexpress