Measuring the properties of endogenous cell proteins, such as expression level, subcellular
localization, and turnover rates, on a whole proteome level remains a major challenge in the
postgenome era. Quantitative methods for measuring mRNA expression do not reliably
predict corresponding protein levels and provide little or no information on other protein
properties. Here we describe a combined pulse-labeling, spatial proteomics and data
analysis strategy to characterize the expression, localization, synthesis, degradation, and …