We demonstrate a strategy of maximizing the performance of reversed-phase (RP) liquid chromatography (LC) tandem mass spectrometry (MS/MS) for efficient shotgun proteome analysis by optimizing the sample loading to the instrument in an off-line two-dimensional (2D) LC tandem MS platform. To determine the quantity of peptides present in a proteome digest or fractionated peptides from strong-cation exchange (SCX) separation, an automated system based on RPLC with a rapid step solvent gradient for peptide elution and ultraviolet (UV) detection was developed. This system also allowed the purification of the peptides by removing salts and other impurities present in a sample. It was found that controlling the amount of peptides injected into a RPLC MS/MS system was critical to achieve the maximum efficiency in peptide and protein identification. With the use of off-line 2D-LC-MS/MS, peptide fractions from the first dimension of separation were desalted and quantified, followed by injecting the optimal amount of the sample into RPLC-MS/MS for peptide sequencing. The application of this strategy was demonstrated in the proteome profiling of breast cancer MCF-7 cells. From the analysis of 28 SCX fractions with each injecting 1 microg of sample into a 75 mum x 100 mm C18 column interfaced to a quadrupole/time-of-flight mass spectrometer, a total of 2362 unique proteins or protein groups were identified with a false positive peptide identification rate of 0.19%, as determined by target-decoy proteome sequence searches. Replicate 2 h runs of individual fractions with the exclusion of precursor ions of peptides already identified in the first runs resulted in the identification of an additional 549 unique proteins or protein groups with a false positive identification rate of 0.60%. This example illustrated that off-line 2D-LC-MS/MS, with maximal sample injection to the RPLC-MS, is an effective method for shotgun proteome analysis. Finally, the advantages and limitations of this method, compared to other methods, are discussed.