Introducing Proteomics

Introducing Proteomics gives a concise and coherent overview of every aspect of current proteomics technology, which is a rapidly developing field that is having a major impact within the life and medical sciences. This student-friendly book, based on a successful course developed by the author, provides its readers with sufficient theoretical background to be able to plan, prepare, and analyze a proteomics study. The text covers the following: Separation Technologies Analysis of Peptides/Proteins by Mass Spectrometry Strategies in Proteomics This contemporary text also includes numerous examples and explanations for why particular strategies are better than others for certain applications. In addition, Introducing Proteomics includes extensive references and a list of relevant proteomics information sources; essential for any student. This no-nonsense approach to the subject tells students exactly what they need to know, leaving out unnecessary information. The student companion site enhances learning and provides answers to the end of chapter problems. "I think this book will be a popular and valuable resource for students and newcomers to the field who would like to have an overview and initial understanding of what proteomics is about. The contents are well organized and address the major issues." —Professor Walter Kolch, Director, Systems Biology Ireland & Conway Institute, University College Dublin Companion Website www.wiley.com/go/lovric

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.

Proteomics provides an introductory insight on proteomics, discussing the basic principles of the field, how to apply specific technologies and instrumentation, and example applications in human health and diseases. With helpful study questions, this textbook presents an easy to grasp and solid overview and understanding of the principles, guidelines, and especially the complex instrumentation operations in proteomics for new students and research scientists. Written by a leader in proteomics studies, Proteomics offers an expert perspective on the field and the future of proteomics.

Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems involved with protein analysis, classification, and meta-organization. The book starts with the analysis of individual entities and works its way through the analysis of more complex entitie

Illustrates the Complex Biochemical Relations that Permit Life to Exist It can be argued that the dawn of the 21st century has emerged as the age focused on molecular biology, which includes all the regulatory mechanisms that make cellular biochemical reaction pathways stable and life possible. For biomedical engineers, this concept is essential to their chosen profession. Introduction to Molecular Biology, Genomics, and Proteomics for Biomedical Engineers hones in on the specialized organic molecules in living organisms and how they interact and react. The book’s sound approach to this intricately complex field makes it an exceptional resource for further exploration into the biochemistry, molecular biology, and genomics fields. It is also beneficial for electrical, chemical, and civil engineers as well as biophysicists with an interest in modeling living systems. This seminal reference includes many helpful tools for self study, including— 143 illustrations, 32 in color, to bolster understanding of complex biochemical relations 20 tables for quick access to precise data 100 key equations Challenging self-study problems within each chapter Conveys Human Progress in the Manipulation of Genomes at the Molecular Level In response to growing global interest in biotechnology, this valuable text sheds light on the evolutionary theories and future trends in genetic medicine and stem cell research. It provides a broader knowledge base on life-permitting complexities, illustrates how to model them quantitatively, and demonstrates how to manipulate them in genomic-based medicine and genetic engineering. Consequently, this book allows for a greater appreciation among of the incredible complexity of the biochemical systems required to sustain life in its many forms. A solutions manual is available for instructors wishing to convert this reference to classroom use.

In this, the post-genomic age, our knowledge of biological systems continues to expand and progress. As the research becomes more focused, so too does the data. Genomic research progresses to proteomics and brings us to a deeper understanding of the behavior and function of protein clusters. And now proteomics gives way to neuroproteomics as we begin to unravel the complex mysteries of neurological diseases that less than a generation ago seemed opaque to our inquiries, if not altogether intractable. Edited by Dr. Oscar Alzate, Neuroproteomics is the newest volume in the CRC Press Frontiers of Neuroscience Series. With an extensive background in mathematics and physics, Dr. Alzate exemplifies the newest generation of biological systems researchers. He organizes research and data contributed from all across the world to present an overview of neuroproteomics that is practical and progressive. Bolstered by each new discovery, researchers employing multiple methods of inquiry gain a deeper understanding of the key biological problems related to brain function, brain structure, and the complexity of the nervous system. This in turn is leading to new understanding about diseases of neurological deficit such as Parkinson’s and Alzheimer’s. Approaches discussed in the book include mass spectrometry, electrophoresis, chromatography, surface plasmon resonance, protein arrays, immunoblotting, computational proteomics, and molecular imaging. Writing about their own work, leading researchers detail the principles, approaches, and difficulties of the various techniques, demonstrating the questions that neuroproteomics can answer and those it raises. New challenges wait, not the least of which is the identification of potential methods to regulate the structures and functions of key protein interaction networks. Ultimately, those building on the foundation presented here will advance our understanding of the brain and show us ways to abate the suffering caused by neurological and mental diseases.

Introduction to Proteomics is written by seasoned researchers with years of practical experience. In addition to comprehensive discussions of the basic concepts, techniques, and applications of the subject, the text also includes an extensive glossary and a chapter containing laboratory exercises and protocols. While mass spectrometry is central to proteomics, the book discusses all of the analytical techniques a student is likely to need when faced with real-world problems, such as sample preparation, chromatographic and electrophoretic separation, micro-total analysis systems, and bioinformatics.

"This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. The most recent proteomic resources widely used in the biomedical scientific community for storage and dissemination of data are discussed. In addition, specific MS/MS spectrum similarity scoring functions and their application in the field of proteomics, statistical evaluation of labeled comparative proteomics using permutation testing, and methods of phylogenetic analysis using MS data are also described in detail. Written for the highly successful Methods in Molecular Biology series, chapters contain the kind of detail and key implementation advice to ensure successful results. Authoritative and cutting-edge, Proteome Bioinformatics serves as a useful resource for researchers who are beginners as well as advanced investigators in the field of proteomics."--OCLC.