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.
This very readable book provides an excellent overview of proteomics. It gives a survey of techniques, comparing them and explaining why and when they are used. This is not the place to learn any method in detail. But it is the only book I have seen that you can read cover to cover in a few days and get the big picture of the field. Some caveats: each chapter has only 3 or 4 references, and the book focuses on methods connected to mass spectrometry. But if you want a quick and pleasant introduction to methods for purifying and identifying proteins, including discussions of ICAT, protein complexes and post-translation modifications, I highly recommend this book.
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