Protein function is representative of active biologic processes, and the proteome describes the entire protein makeup of a cell, tissue, or bodily fluid at a given point in time. The composition and modular organization of the proteome governs the phenotype. The term proteomics was coined in 1994 1 and over the last 25 years the field has advanced with the rapid changes in mass spectrometry instrumentation and innovations in quantitative chemistries and bioinformatic tools. Although two-dimensional gel electrophoresis, accompanied by mass spectrometry detection, was extensively used as the proteomics method of choice in earlier days, 2,3 it is time-consuming, labor-intensive, and limited by the number of resolved proteins. 4 Currently, liquid chromatography coupled to tandem mass spectrometry is the most valuable tool for the systematic identification and quantification of proteins on a large scale. 5 Most of the proteomics workflows seek to identify a set of proteins (discovery proteomics) or to quantify a relative or absolute amount of identified proteins (quantitative proteomics) between conditions or to study the protein interactions within larger protein complexes (interactomes) or in the context of broader biologic networks (systems biology). 6 The spectrum fragmentation method includes two approaches, namely, "untargeted shotgun proteomics", which help achieve a deep coverage of the proteome, and "targeted proteomics" for quantitatively comparing large numbers of samples (hundreds to thousands) based on a defined set of proteins (eg, selected reaction monitoring) (Figure 1). Most high-throughput proteomic strategies utilize "bottom-up" workflows that rely on mass spectrometry analysis of digested peptides from proteins with the help of specific enzymes (eg, trypsin), but a "top-down" approach for analysis of intact proteins is also possible. This allows not only identification of a protein by name, but also of its intact molecular form, the presence of isoforms, and potential modifications. 7 The large-scale characterization of any given proteome is accomplished by comparing measured protein or peptide data with predicted protein or peptide data derived from genomic information.