Proteomics

This volume aims to provide protocols on a wide range of biochemical methods, analytical approaches, and bioinformatics tools developed to analyze the proteome. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Proteomics: Methods and Protocols aims to ensure successful results in the further study of this vital field.

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.

This volume describes prominent methodologies developed by laboratories that have been leading the field of quantitative proteomics by mass spectrometry. The procedures for performing the experiments are described in an easy-to-understand manner with many technical details that usually are not reported in typical research articles. This second edition of Quantitative Proteomics by Mass Spectrometry provides a broad perspective of the methodologies used for quantifying proteins and post-translational modifications in different types of biomedical specimens. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and thorough, Quantitative Proteomics by Mass Spectrometry, Second Edition is a valuable resource to help researchers understand and learn about the latest tools used in the study of quantitative proteomics by mass spectrometry.

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.

Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably. Fully revised and expanded, Mass Spectrometry Data Analysis in Proteomics, Second Edition presents expert chapters on specific MS-based methods or data analysis strategies in proteomics. The volume covers data analysis topics relevant for quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards, among other topics. Written in the highly successful Methods in Molecular Biology series format, chapters include brief introductions to their respective subjects, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Updated and authoritative, Mass Spectrometry Data Analysis in Proteomics, Second Edition serves as a detailed guide for all researchers seeking to further our knowledge in the field of proteomics.

Delivery of therapeutic proteomics and genomics represent an important area of drug delivery research. Genomics and proteomics approaches could be used to direct drug development processes by unearthing pathways involved in disease pathogenesis where intervention may be most successful. This book describes the basics of genomics and proteomics and highlights the various chemical, physical and biological approaches to protein and gene delivery. Covers a diverse array of topics from basic sciences to therapeutic applications of proteomics and genomics delivery Of interest to researchers in both academia and industry Highlights what’s currently known and where further research is needed

This volume serves as a proteomics reference manual, describing experimental design and execution. The book also shows a large number of examples as to what can be achieved using proteomics techniques. As a relatively young area of scientific research, the breadth and depth of the current state of the art in proteomics might not be obvious to all potential users. There are various books and review articles that cover certain aspects of proteomics but they often lack technical details. Subject specific literature also lacks the broad overviews that are needed to design an experiment in which all steps are compatible and coherent. The objective of this book was to create a proteomics manual to provide scientists who are not experts in the field with an overview of: 1. The types of samples can be analyzed by mass spectrometry for proteomics analysis. 2. Ways to convert biological or ecological samples to analytes ready for mass spectral analysis. 3. Ways to reduce the complexity of the proteome to achieve better coverage of the constituent proteins. 4. How various mass spectrometers work and different ways they can be used for proteomics analysis 5. The various platforms that are available for proteomics data analysis 6. The various applications of proteomics technologies in biological and medical sciences This book should appeal to anyone with an interest in proteomics technologies, proteomics related bioinformatics and proteomics data generation and interpretation. With the broad setup and chapters written by experts in the field, there is information that is valuable for students as well as for researchers who are looking for a hands on introduction into the strengths, weaknesses and opportunities of proteomics.

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.