Protein Microarray for Disease Analysis

Protein Microarray for Disease Analysis
Author :
Publisher : Humana Press
Total Pages : 0
Release :
ISBN-10 : 1617790427
ISBN-13 : 9781617790423
Rating : 4/5 (423 Downloads)

Book Synopsis Protein Microarray for Disease Analysis by : Catherine J. Wu

Download or read book Protein Microarray for Disease Analysis written by Catherine J. Wu and published by Humana Press. This book was released on 2011-03-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein microarrays have been used for a wide variety of important tasks, such as identifying protein-protein interactions, discovering disease biomarkers, identifying DNA-binding specificity by protein variants, and for characterization of the humoral immune response. In Protein Microarray for Disease Analysis: Methods and Protocols, expert researchers provide concise descriptions of the methodologies currently used to fabricate microarrays for the comprehensive analysis of proteins or responses to proteins that can be used to dissect human disease. These methodologies are the toolbox for revolutionizing drug development and cell-level biochemical understanding of human disease processes. Beginning with a section on protein-detecting analytical microarrays, the volume continues with sections covering antigen microarrays for immunoprofiling, protein function microarrays, the validation of candidate targets, proteomic libraries, as well as signal detection strategies and data analysis techniques. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Practical and cutting-edge, Protein Microarray for Disease Analysis: Methods and Protocols serves as a solid framework to aid scientists in understanding how protein microarray technology is presently developing and how it can be applied to transform our analysis of human disease.


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