Functional Proteomics

Functional Proteomics
Author :
Publisher : Humana Press
Total Pages : 0
Release :
ISBN-10 : 1588299716
ISBN-13 : 9781588299710
Rating : 4/5 (710 Downloads)

Book Synopsis Functional Proteomics by : Julie D. Thompson

Download or read book Functional Proteomics written by Julie D. Thompson and published by Humana Press. This book was released on 2008-08-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the emerging field of proteomics continues to expand at an extremely rapid rate, the relative quantification of proteins, targeted by their function, becomes its greatest challenge. Complex analytical strategies have been designed that allow comparative analysis of large proteomes, as well as in depth detection of the core proteome or the interaction network of a given protein of interest. In Functional Proteomics: Methods and Protocols, expert researchers describe the latest protocols being developed to address the problems encountered in high-throughput proteomics projects, with emphasis on the factors governing the technical choices for given applications. The case studies within the volume focus on the following three crucial aspects of the experimental design: 1) the strategy used for the selection, purification and preparation of the sample to be analyzed by mass spectrometry, 2) the type of mass spectrometer used and the type of data to be obtained from it, and 3) the method used for the interpretation of the mass spectrometry data and the search engine used for the identification of the proteins in the different types of sequence data banks available. As a part of the highly successful Methods in Molecular BiologyTM series, the chapters compile step-by-step, readily reproducible laboratory protocols, lists of the necessary materials and reagents, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Functional Proteomics: Methods and Protocols is an ideal resource for all scientists pursuing this developing field and its multitudinous data.


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