Our ‘Dataset of the Week’ series features publicly available omics datasets of scientific value, intending to promote data sharing and reuse.
This week’s dataset comprises of microarray data using the Affymetrix platform from the publication titled ‘Pioglitazone Enhances Mitochondrial Biogenesis and Ribosomal Protein Biosynthesis in Skeletal Muscle in Polycystic Ovary Syndrome’1.
Polycystic Ovarian Syndrome (PCOS) is a metabolic disorder that affects around 10% of women worldwide2. The most commonly described symptoms are polycystic ovaries, menstrual irregularities and infertility. Additionally, numerous lines of evidence have shown that women affected by this disorder have high levels of insulin resistance, putting them at risk of developing Type 2 diabetes3,4. The molecular mechanisms by which insulin resistance contributes to PCOS pathogenesis are poorly understood. This publication used a microarray-based approach to examine how insulin sensitivity improves in patients who are treated with thiazolidinediones (TZDs), a class of drugs with anti-diabetic effects.
This dataset contains microarray data from skeletal muscle tissues of pioglitazone-treated patients affected with PCOS and healthy controls. Exploring the transcriptomes of these patients could aid the effort to unravel the role of insulin resistance in the molecular pathogenesis of PCOS.
Skeletal muscle tissue biopsies from Caucasian PCOS patients and healthy volunteers whose BMIs fell under the obese range were obtained before and after treatment with pioglitazone (30mg/day for 16 weeks, n=10 for PCOS patients, n=13 for healthy volunteers). Total RNA was isolated and microarray analysis was carried out using the Affymetrix platform.
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