Mass Spectrometry of Proteins and Peptides

Generation and Analysis of Multidimensional Protein Identification Technology Datasets.- Quantitative Peptide and Protein Profiling by Mass Spectrometry.- Label-Free Relative Quantitation of Prokaryotic Proteomes Using the Accurate Mass and Time Tag Approach.- Classical Proteomics: Two-Dimensional Electrophoresis/MALDI Mass Spectrometry.- The Use of Difference In-Gel Electrophoresis for Quantitation of Protein Expression.- Liquid-Chromatography-Mass Spectrometry of Thylakoid Membrane Proteins.- High Accuracy Mass Spectrometry in Large-Scale Analysis of Protein Phosphorylation.- Manual Validation of Peptide Sequence and Sites of Tyrosine Phosphorylation from MS/MS Spectra.- Assigning Glycosylation Sites and Microheterogeneities in Glycoproteins by Liquid Chromatography/Tandem Mass Spectrometry.- Structure Analysis of N -Glycoproteins.- Capillary Zone Electrophoresis-Mass Spectrometry for the Characterization of Isoforms of Intact Glycoproteins.- Top-Down Proteomics on a High-field Fourier Transform Ion Cyclotron Resonance Mass Spectrometer.- Capillary Isoelectric Focusing/Reversed Phase Liquid Chromatography/Mass Spectrometry.- Integrating Accelerated Tryptic Digestion into Proteomics Workflows.- Hydrogen/Deuterium Exchange Mass Spectrometry.- Mass Spectrometry Detection and Characterization of Noncovalent Protein Complexes.- Chemical Cross-Linking for Protein–Protein Interaction Studies.- Tissue Analysis with High-Resolution Imaging Mass Spectrometry.- Proteomic Global Profiling for Cancer Biomarker Discovery.- Analysis of Protein Glycosylation and Phosphorylation Using Liquid Phase Separation, Protein Microarray Technology, and Mass Spectrometry.- Transthyretin Mass Determination for Detection of Transthyretin Familial Amyloid.- Characterization of Microorganisms byMALDI Mass Spectrometry.- Mass Spectrometric Characterization of Neuropeptides.- Peptide and Protein Ion/Ion Reactions in Electrodynamic Ion Traps: Tools and Methods.- Electron Capture Dissociation LC/MS/MS for Bottom-Up Proteomics.- Two-Dimensional Ion Mobility Analyses of Proteins and Peptides.- Proteomics for Validation of Automated Gene Model Predictions.- Support Vector Machines for Improved Peptide Identification from Tandem Mass Spectrometry Database Search.