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.

Klappentext

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.

Inhalt

I. Proteomics and the Proteome 1 Proteomics and the New Biology 2 The Proteome II. Tools of Proteomics 3 Overview of Analytical Proteomics 4 Analytical Protein and Peptide Separations 5 Protein Digestion Techniques 6 Mass Spectrometers for Protein and Peptide Analysis 7 Protein Identification by Peptide Mass Fingerprinting 8 Peptide Sequence Analysis by Tandem Mass Spectrometry 9 Protein Identification with Tandem Mass Spectrometry Data 10 SALSA: An Algorithm for Mining Specific Features of Tandem MS Data III. Applications of Proteomics 11 Mining Proteomes 12 Protein Expression Profiling 13 Identifying Protein-Protein Interactions and Protein Complexes 14 Mapping Protein Modifications 15 New Directions in Proteomics