Comparative proteomic approaches using isotopic labeling and MS have become increasingly popular. Conventionally quantification is based on MS or extracted ion chromatogram (XIC) signals of differentially labeled peptides. However, in these MS-based experiments, the accuracy and dynamic range of quantification are limited by the high noise levels of MS/XIC data. Here we report a quantitative strategy based on multiplex (derived from multiple precursor ions) MS/MS data. One set of proteins was metabolically labeled with [ 13 C 6 ]lysine and [ 15 N 4 ]arginine; the other set was unlabeled. For peptide analysis after tryptic digestion of the labeled proteins, a wide precursor window was used to include both the light and heavy versions of each peptide for fragmentation. The multiplex MS/MS data were used for both protein identification and quantification. The use of the wide precursor window increased sensitivity, and the y ion pairs in the multiplex MS/MS spectra from peptides containing labeled and unlabeled lysine or arginine offered more information for, and thus the potential for improving, protein identification. Protein ratios were obtained by comparing intensities of y ions derived from the light and heavy peptides. Our results indicated that this method offers several advantages over the conventional XIC-based approach, including increased sensitivity for protein identification and more accurate quantification with more than a 10-fold increase in dynamic range. In addition, the quantification calculation process was fast, fully automated, and independent of instrument and data type. This In recent years, various strategies based on stable isotope coding and MS have been established and have become increasingly popular as alternatives to two-dimensional PAGE-based methods (1, 2) for quantitative proteomics (3-8). In these methods, proteins or peptides from different samples are differentially labeled using stable isotopes, and protein quantification is achieved by comparing their relative abundances in MS. Stable isotopes can be introduced through chemical reactions or metabolic incorporation during cell culture. Although both strategies have characteristic strengths and limitations (6), metabolic labeling seems to have gained more attention recently (4,5,8,9). The labeling process is straightforward and highly efficient. Unlabeled and labeled samples can be combined directly after, or sometimes even prior to, cell lysis and treated as a single sample in all subsequent steps, thus minimizing errors introduced during sample preparation.In most comparative proteomic studies, differentially labeled peptides are analyzed by LC-MS/MS in a data-dependent manner in which MS/MS scans are automatically triggered after MS survey scans. In these experiments, MS/MS data are used for protein identification, and MS data are used for quantification. Protein ratios can then be determined by comparing the relative intensities of MS signals from differentially labeled peptides. Alternatively quantification can be based on ex...