A comprehensive urine proteome database generated from patients with various renal conditions and prostate cancer
Urine proteins can serve as viable biomarkers for diagnosis and monitoring of various diseases. A comprehensive urine proteome database generated from a variety of urine samples, from different disease conditions, can serve as a global reference to facilitate discovery of potential urine protein biomarkers. Herein, we present one of the most comprehensive urine protein datasets using a 2D LC-MS/MS proteome profiling of urine samples from healthy individuals, renal transplant patients, patients with non-specific proteinuria, and patients with prostate cancer. A total of 28,062 unique peptides spanning ~2,400 unique proteins were identified with a false discovery rate of ~0.5%. Over one third of the annotated proteins were plasma membrane proteins and another one third were extracellular proteins according to gene ontology analysis. Ingenuity Pathway Analysis of these proteins revealed 349 potential biomarkers. Interestingly, 43% (167) of all known cluster of differentiation (CD) proteins were identified from human urine samples. Our data will provide valuable information for discovery of urine protein biomarkers in future work.