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An integrated, directed mass spectrometric approach for in-depth characterization of complex peptide mixtures
Journal
Molecular and Cellular Proteomics
Volume
7
Number
11
Pages / Article-Number
2138-2150
Keywords
Drosophila Proteins, Peptides, Databases: Protein, Reproducibility of Results, Proteomics, Animals, Phosphopeptides, Drosophila melanogaster, Tandem Mass Spectrometry, Cell Line, Chromatography: High Pressure Liquid
Abstract
LC-MS/MS has emerged as the method of choice for the identification and quantification of protein sample mixtures. For very complex samples such as complete proteomes, the most commonly used LC-MS/MS method, data-dependent acquisition (DDA) precursor selection, is of limited utility. The limited scan speed of current mass spectrometers along with the highly redundant selection of the most intense precursor ions generates a bias in the pool of identified proteins toward those of higher abundance. A directed LC-MS/MS approach that alleviates the limitations of DDA precursor ion selection by decoupling peak detection and sequencing of selected precursor ions is presented. In the first stage of the strategy, all detectable peptide ion signals are extracted from high resolution LC-MS feature maps or aligned sets of feature maps. The selected features or a subset thereof are subsequently sequenced in sequential, non-redundant directed LC-MS/MS experiments, and the MS/MS data are mapped back to the original LC-MS feature map in a fully automated manner. The strategy, implemented on an LTQ-FT MS platform, allowed the specific sequencing of 2,000 features per analysis and enabled the identification of more than 1,600 phosphorylation sites using a single reversed phase separation dimension without the need for time-consuming prefractionation steps. Compared with conventional DDA LC-MS/MS experiments, a substantially higher number of peptides could be identified from a sample, and this increase was more pronounced for low intensity precursor ions.
Publisher
American Society for Biochemistry and Molecular Biology
