Proteomic and Metabolomic Approaches to Biomarker Discovery, Second Edition covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods and presents a standard operating procedure for sample selection, preparation and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. This second edition has been fully updated and revised to address recent advances in MS and NMR instrumentation, high-field NMR, proteomics and metabolomics for biomarker validation, clinical assays of biomarkers and clinical MS and NMR, identifying microRNAs and autoantibodies as biomarkers, MRM-MS assay development, top-down MS, glycosylation-based serum biomarkers, cell surface proteins in biomarker discovery, lipodomics for cancer biomarker discovery, and strategies to design studies to identify predictive biomarkers in cancer research. Addresses the full range of proteomic and metabolomic methods and technologies used for biomarker discovery and validation Covers all steps involved in biomarker discovery, from study design to study execution Serves as a vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals and graduate students

Both an introduction and a fundamental reference, this book explores how to apply genomic, proteomic, and metabolomic technologies to surrogate tissue analysis. It reviews fundamental analytical issues and actual initial results generated using these technologies. The book covers transcriptional profiling (genomics), protein profiling (proteomics), methylation profiling (epigenomics), metabolite profiling (metabolomics) and additional biomarker identification methods that can be applied to surrogate tissues. This book is useful to researchers and scientists interested in applying novel methodologies for identifying biomarkers in the fields of pharmacology, toxicology, and medicine.

This book is oriented towards post-graduates and researchers with interest in proteomics and its applications in clinical biomarker discovery pipeline. Biomarker discovery has long been the research focus of many life scientists globally. However, the pipeline starting from discovery to validation to regulation as a diagnostic or therapeutic molecule follows a complex trajectory. This book aims to provide an in-depth synopsis on each of these developmental phases attendant to biomarker “life cycle” with emphasis on the emerging and significant role of proteomics. The book begins with a perspective on the role of biorepositories and need for biobanking practices in the developing world. The next chapter focuses on disease heterogeneity in context to geographical bias towards susceptibility to the disease and the role of multi-omics techniques to devise disruptive innovations towards biomarker discovery. Chapter 3 focuses on various omics-based platforms that are currently being used for biomarker discovery, their principles and workflow. Mass spectrometry is emerging as a powerful technology for discovery based studies and targeted validation. Chapter 4 aims at providing a glimpse of the basic workflow and considerations in mass spectrometry based studies. Rapid and aptly targeted research funding has often been deemed as one of the decisive factors enabling excellent science and path breaking innovations. With the need for sophistication required in multi-omics research, Chapter 5 focuses on innovative funding strategies such as crowdfunding and Angel philanthropy. Chapter 6 provides the latest advances in education innovation, the premise and reality of bioeconomy especially in a specific context of the developing world, not to mention the new concept of “social innovation” to link biomarkers with socially responsible and sustainable applications. Chapter 7, in ways similar to biomarkers, discusses the biosimilars as a field that has received much focus and prominence recently due to their immense potential in clinical and pharmaceutical innovation literatures. The broader goal post-biomarker discovery is to translate their use in clinics. However, the road from bench-to-bed side is arduous and complex that is subject to oversight from various national and international regulatory bodies. Chapter 8 underscores these regulatory science considerations and provides a concise overview on intellectual property rights in biomarker discovery. Thus, this book contributed by eminent biomarker scientists, clinicians, translational researchers and social scientists holistically covers the various facets of the biomarker discovery journey from “cell to society” in developing world. The lessons learned and highlighted here are of interest to the life sciences community in a global and interdependent world.

Written by recognized experts in the study of proteins, Proteomics for Biological Discovery begins by discussing the emergence of proteomics from genome sequencing projects and a summary of potential answers to be gained from proteome-level research. The tools of proteomics, from conventional to novel techniques, are then dealt with in terms of underlying concepts, limitations and future directions. An invaluable source of information, this title also provides a thorough overview of the current developments in post-translational modification studies, structural proteomics, biochemical proteomics, microfabrication, applied proteomics, and bioinformatics relevant to proteomics. Presents a comprehensive and coherent review of the major issues faced in terms of technology development, bioinformatics, strategic approaches, and applications Chapters offer a rigorous overview with summary of limitations, emerging approaches, questions, and realistic future industry and basic science applications Discusses higher level integrative aspects, including technical challenges and applications for drug discovery Accessible to the novice while providing experienced investigators essential information Proteomics for Biological Discovery is an essential resource for students, postdoctoral fellows, and researchers across all fields of biomedical research, including biochemistry, protein chemistry, molecular genetics, cell/developmental biology, and bioinformatics.

Helps researchers in proteomics and oncology work together to understand, prevent, and cure cancer Proteomic data is increasingly important to understanding the origin and progression of cancer; however, most oncologic researchers who depend on proteomics for their studies do not collect the data themselves. As a result, there is a knowledge gap between scientists, who devise proteomic techniques and collect the data, and the oncologic researchers, who are expected to interpret and apply proteomic data. Bridging the gap between proteomics and oncology research, this book explains how proteomic technology can be used to address some of the most important questions in cancer research. Proteomic Applications in Cancer Detection and Discovery enables readers to understand how proteomic data is acquired and analyzed and how it is interpreted. Author Timothy Veenstra has filled the book with examples many based on his own firsthand research experience that clearly demonstrate the application of proteomic technology in oncology research, including the discovery of novel biomarkers for different types of cancers. The book begins with a brief introduction to systems biology, explaining why cancer is a systems biology disease. Next, it covers such topics as: Mass spectrometry in cancer research Application of proteomics to global phosphorylation analysis Search for biomarkers in biofluids Rise and fall of proteomic patterns for cancer diagnostics Emergence of protein arrays Role of proteomics in personalized medicine The final chapter is dedicated to the future prospects of proteomics in cancer research. By guiding readers through the latest proteomic technologies and their applications in cancer research, Proteomic Applications in Cancer Detection and Discovery enhances the ability of researchers in proteomics and researchers in oncology to collaborate in order to better understand cancer and develop strategies to prevent and treat it.

With the advent of proteomics came the development of technologies, primarily mass spectrometry, which allowed high-throughput identification of proteins in complex mixtures. While the mass spectrometer resides at the heart of proteomics, its ability to characterize biological samples is only as good as the sample preparation and data analysis tools used in any study. In Proteomics for Biomarker Discovery, expert researchers in the field detail many of the methods which are now commonly used to study proteomics. These include methods and techniques include both label-free approaches and those that utilize stable isotopes incorporated both during cell growth or added via a chemical reaction once the proteome is extracted from the cell. 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. Authoritative and practical, Proteomics for Biomarker Discovery seeks to aid scientists in the further study the different sample preparation and data analysis tools used in proteomics today.

It is evident that biochemical control is not strictly hierarchical and that intermediary metabolism can contribute to control of regulatory pathways. Metabolic studies are therefore increasingly important in gene function analyses, and an increased interest in metabolites as biomarkers for disease progression or response to therapeutic intervention is also evident in the pharmaceutical industry. This book offers guidelines to currently available technology and bioinformatics and database strategies now being developed. Evidence is presented that metabolic profiling is a valuable addition to genomics and proteomics strategies devoted to drug discovery and development, and that metabolic profiling offers numerous advantages.