Introduction to Proteomics: Tools for the New Biology

Description

Advances in genome sequencing, analytical instrumentation, and computing power have excitingly transformed the practice of biology by now making it possible to understand complex biological systems as collections of proteins-proteomes. In Introduction to Proteomics: Tools for the New Biology, Daniel C. Liebler masterfully introduces the science of proteomics by spelling out the basics of how one analyzes proteins and proteomes, and just how these approaches are then employed to investigate their roles in living systems. He explains the key concepts of proteomics, how the analytical instrumentation works, what data mining and other software tools do, and how these tools can be integrated to study proteomes. Also discussed are how protein and peptide separation techniques are applied in proteomics, how mass spectrometry is used to identify proteins, and how data analysis software enables protein identification and the mapping of modifications. In addition, there are proteomic approaches for analyzing differential protein expression, characterizing proteomic diversity, and dissecting protein-protein interactions and networks. Comprehensive, concise, and easy-to-read, Introduction to Proteomics: Tools for the New Biology provides researchers new to proteomics with all the essential concepts and background needed to use the powerful new proteomic techniques in their research, to make intelligent requests to proteomics service facilities, and to better understand and utilize the rapidly growing proteomics literature. Front Matter....Pages i-ix Front Matter....Pages 1-1 Proteomics and the New Biology....Pages 3-13 The Proteome....Pages 15-24 Front Matter....Pages 25-25 Overview of Analytical Proteomics....Pages 27-29 Analytical Protein and Peptide Separations....Pages 31-48 Protein Digestion Techniques....Pages 49-54 Mass Spectrometers for Protein and Peptide Analysis....Pages 55-76 Protein Identification by Peptide Mass Fingerprinting....Pages 77-87 Peptide Sequence Analysis by Tandem Mass Spectrometry....Pages 89-98 Protein Identification with Tandem Mass Spectrometry Data....Pages 99-108 SALSA: An Algorithm for Mining Specific Features of Tandem MS Data....Pages 109-122 Front Matter....Pages 123-123 Mining Proteomes....Pages 125-135 Protein Expression Profiling....Pages 137-149 Identifying Protein-Protein Interactions and Protein Complexes....Pages 151-165 Mapping Protein Modifications....Pages 167-184 New Directions in Proteomics....Pages 185-193 Back Matter....Pages 195-198