Skip to Main content Skip to Navigation
New interface
Journal articles

Systematic quantification of peptides/proteins in urine using selected reaction monitoring

Abstract : The evaluation of biomarkers in bodily fluids necessitates the development of robust methods to quantify proteins in a complex background, using large sets of samples. The ability to multiplex numerous analytes in a single assay expedites the process. Liquid chromatography-mass spectrometry (LC-MS) analyses performed in selected reaction monitoring (SRM) in conjunction with stable isotope dilution MS present an effective way to detect and quantify biomarker candidates in bodily fluids. The strategy presented involves an initial qualification of predefined sets of proteins in urine. The technique was applied to detect and quantify peptides in urine samples as surrogates for a few endogenous proteins. Multiplexed assays were developed to analyze proteins associated with bladder cancer; a few exogenous proteins were added as internal standards. The sample preparation and the analytical protocols were optimized to ensure reproducibility, analytical precision, and quantification limits in the low nanogram per milliliter range. Analyses were performed using known amounts of isotopically labeled peptides. Systematic replication of the measurements indicated intra-assay and inter-assay variability, with CVs in the range of 10%. The differences measured for two targeted proteins were correlated with their level of expression in the corresponding tumors using immunohistochemistry.
Document type :
Journal articles
Complete list of metadata
Contributor : Mariette Matondo Connect in order to contact the contributor
Submitted on : Monday, May 25, 2020 - 4:05:09 PM
Last modification on : Wednesday, January 5, 2022 - 3:02:05 PM

Links full text




Nathalie Selevsek, Mariette I Matondo, Marta Sanchez Carbayo, Ruedi Aebersold, Bruno Domon. Systematic quantification of peptides/proteins in urine using selected reaction monitoring. Proteomics, 2011, 11 (6), pp.1135-1147. ⟨10.1002/pmic.201000599⟩. ⟨pasteur-02619035⟩



Record views