With the completion of sequencing projects and the advancement of a- lytical tools for protein identification, proteomics―the study of the expressed part of the genome―has become a major region of the burgeoning field of functional genomics. High-resolution 2-D gels can reveal virtually all p- teins present in a cell or tissue at any given time, including posttranslationally modified proteins. Changes in the expression and structure of most cellular proteins caused by differentiation or external stimuli can be displayed and eventually identified using 2-D protein gels. 2-D Proteome Analysis Protocols covers all aspects of the use of 2-D protein electrophoresis for the analysis of biological problems. The contri- tors include many of the leaders in the fields of biochemistry and analytical chemistry who were instrumental in the development of high-resolution 2-D gels, immobilized pH gradients, computer analysis, and mass spectromet- based protein identification methodologies. This book is intended as a benchtop manual and guide both for novices to 2-D gels and for those aficionados who wish to try the newer techniques. Any group using protein biochemistry―especially in the fields of molecular biology, biochemistry, microbiology, and cell biology―should find this book eminently useful. 2-D Proteome Analysis Protocols takes the researcher through the c- plete process of working with 2-D protein gels from making the protein - tract to finally identifying the proteins of interest. It includes protocols for generating 2-D protein extracts from most of the standard model organisms, including bacteria, yeast, nematode, Drosophila, plants, mouse, and human. Series: Methods in Molecular Biology (Book 112) Paperback: 601 pages Publisher: Humana Press; Softcover reprint of hardcover 1st ed. 1999 edition (November 10, 2010) Language: English ISBN-10: 1617370606 ISBN-13: 978-1617370601 Product Dimensions: 6.3 x 1.4 x 9.2 inches Link Download http://nitroflare.com/view/ED3B6BEE15E2038https://drive.google.com/drive/folders/1yLBzZ1rSQoNjmWeJTZ3WGQHg04L1
