Journal of the American Society of Nephrology
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Published ahead of print on December 3, 2008
J Am Soc Nephrol 20: 363-379, 2009
© 2009 American Society of Nephrology
doi: 10.1681/ASN.2008040406

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BASIC RESEARCH

Large-Scale Proteomics and Phosphoproteomics of Urinary Exosomes

Patricia A. Gonzales*,{dagger}, Trairak Pisitkun*, Jason D. Hoffert*, Dmitry Tchapyjnikov*, Robert A. Star{ddagger}, Robert Kleta§,||, Nam Sun Wang{dagger} and Mark A. Knepper*

* Laboratory of Kidney and Electrolyte Metabolism, National Heart, Lung, and Blood Institute, {ddagger} Renal Diagnostics and Therapeutics Unit, National Institute of Diabetes and Digestive and Kidney Diseases, § Section of Human Biochemical Genetics, Medical Genetics Branch, National Human Genome Research Institute, and || Office of Rare Diseases, Office of the Director, National Institutes of Health, Bethesda, and {dagger} Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, Maryland; and London Epithelial Group, Centre for Nephrology, University College London, London, United Kingdom

Correspondence: Dr. Mark A. Knepper, 10 Center Drive, MSC-1603, National Institutes of Health, Bethesda, MD 20892-1603. Phone: 301-496-3064; Fax: 301-402-1443; E-mail: knep{at}helix.nih.gov

Received for publication April 21, 2008. Accepted for publication July 30, 2008.

Normal human urine contains large numbers of exosomes, which are 40- to 100-nm vesicles that originate as the internal vesicles in multivesicular bodies from every renal epithelial cell type facing the urinary space. Here, we used LC-MS/MS to profile the proteome of human urinary exosomes. Overall, the analysis identified 1132 proteins unambiguously, including 177 that are represented on the Online Mendelian Inheritance in Man database of disease-related genes, suggesting that exosome analysis is a potential approach to discover urinary biomarkers. We extended the proteomic analysis to phosphoproteomic profiling using neutral loss scanning, and this yielded multiple novel phosphorylation sites, including serine-811 in the thiazide-sensitive Na-Cl co-transporter, NCC. To demonstrate the potential use of exosome analysis to identify a genetic renal disease, we carried out immunoblotting of exosomes from urine samples of patients with a clinical diagnosis of Bartter syndrome type I, showing an absence of the sodium-potassium-chloride co-transporter 2, NKCC2. The proteomic data are publicly accessible at http://dir.nhlbi.nih.gov/papers/lkem/exosome/.




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