Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder affecting women of reproductive age. The main features of PCOS are hyperandrogenism and irregular menstrual cycles together with metabolic dysfunctions including abdominal obesity, dyslipidemia and an increased risk of developing type 2 diabetes. Despite the high prevalence of >15%, the pathophysiology of the syndrome is unclear. Gene expression array data from skeletal muscle and adipose tissue have provided some information about dysregulated metabolic pathways in women with PCOS, but the transcriptomic data need to be verified by proteomics to advance our understanding of PCOS. Skeletal muscle and adipose tissue biopsies from 10 women with PCOS and 10 controls were subjected to global proteomic analysis. Protein expression differences between cases and controls were based on Student’s t-test and corrected for multiple testing. In total, we identified 5000 proteins in adipose tissue and 3480 proteins in skeletal muscle. After correction for multiple testing, 74 proteins with q < 0.05 corresponding to 72 unique proteins were found to be differentially expressed in adipose tissue from women with PCOS versus controls. And, 123 proteins with q < 0.05 corresponding to 120 unique proteins were found to be differentially expressed in skeletal muscle from women with PCOS versus control. We then applied pathway analysis to the total protein and phosphopeptide data using PRISM and Enrichr.