Collective improvements in mass spectrometry, separations, enrichment techniques, and related sample processing, along with integrated data analytic strategies, have advanced the objectives of proteomics studies from generation of peptide and protein catalogs to construction of dynamic networks that seek to correlate changes in protein expression and post-translational modification status to biological state. While researchers pursue the analysis of increasingly complex mixtures, the goal of compiling a comprehensive proteome sequence at an organism level remains beyond our reach. Nevertheless the use of proteomics techniques to characterize specific pathways, modifications, and protein interactions has provided a wealth of insight not otherwise available for biological studies. Continued progress in targeted analyses will yield sufficient temporal and spatial resolution in proteomics studies to support predictions of phenotype as a function of biological perturbation.