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Leading researchers and innovators describe in step-by-step detail the latest techniques that promise to significantly impact the practice of proteomics, as well as its success in developing novel clinical agents. The methods span the entire spectrum of top-down and bottom-up approaches, including microarrays, gels, chromatography, and affinity separations, and address every aspect of the human proteome, both quantitatively and qualitatively. The techniques of protein detection utilized are diverse and range from fluorescence and resonance light scattering to surface plasmon resonance and mass spectrometry.
On-Chip Protein Synthesis for Making Microarrays; Niroshan Ramachandran, Eugenie Hainsworth, Gokhan Demirkan, and Joshua LaBaer; RCA-Enhanced Protein Detection Arrays; Brian B. Haab and Paul M. Lizardi; Antibody Microarrays Using Resonance Light Scattering Particles for Detection; Bernhard H. Geierstanger, Petri Saviranta, and Achim Brinker; Chemical Proteomics Profiling of Proteasome Activity; Martijn Verdoes, Celia R. Berkers, Bogdan I. Florea, Paul F. van Swieten, Herman S. Overkleeft, and Huib Ovaa; Two-Dimensional Difference Gel Electrophoresis; Terence L. Wu; Oligomeric States of Proteins Determined by Size-Exclusion Chromatography Coupled with Light Scattering, Absorbance and Refractive Index Detectors; Ewa Folta-Stogniew; Surface Plasmon Resonance Imaging Measurements of Protein Interactions with Biopolymer Microarrays; Terry T. Goodrich, Alastair W. Wark, Robert M. Corn, and Hye Jin Lee; Surface Plasmon Resonance Mass Spectrometry for Protein Analysis; Dobrin Nedelkov and Randall W. Nelson; High Throughput Affinity Mass Spectrometry; Urban A. Kiernan, Dobrin Nedelkov, Eric E. Niederkofler, Kemmons A. Tubbs, and Randall W. Nelson; Isotope Coded Affinity Tags for Protein Quantification; Christopher M. Colangelo and Kenneth R. Williams; Proteomic Analysis by Multidimensional Protein Identification Technology; Laurence Florens and Michael P. Washburn; Isolation of Glycoproteins and Identification of Their N-Linked Glycosylation Sites; Hui Zhang and Ruedi Aebersold; N-Glycosylation Analysis Using the StrOligo Algorithm; Martin Ethier, Daniel Figeys, and Helene Perreault; MALDI-MS Data Analysis for Disease Biomarker Discovery; Weichuan Yu, Baolin Wu, Junfeng Liu, Xiaoye Li, Kathy Stone, Kenneth Williams, and Hongyu Zhao; Using the Global Proteome Machine for Protein Identification; Ronald C. Beavis.
From the reviews: "It is no surprise that a book of this title is somewhat eclectic. ! Methodologies are well written and useful, emphasizing that proteins and function can be studied at differing levels of resolution. ! this book will be useful for beginners, though it is really more for the initiated seeking inspiration." (Dr. Mike J. Naldrett, Microbiology Today, November, 2006)