Proteomic Applications in Cancer Detection and Discovery

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.

Helps researchers in proteomics and oncology work together tounderstand, prevent, and cure cancerProteomic data is increasingly important to understanding theorigin and progression of cancer; however, most oncologicresearchers who depend on proteomics for their studies do notcollect the data themselves. As a result, there is a knowledge gapbetween scientists, who devise proteomic techniques and collect thedata, and the oncologic researchers, who are expected to interpretand apply proteomic data. Bridging the gap between proteomics andoncology research, this book explains how proteomic technology canbe used to address some of the most important questions in cancerresearch.Proteomic Applications in Cancer Detection and Discoveryenables readers to understand how proteomic data is acquired andanalyzed and how it is interpreted. Author Timothy Veenstra hasfilled the book with examples--many based on his own firsthandresearch experience--that clearly demonstrate the applicationof proteomic technology in oncology research, including thediscovery of novel biomarkers for different types of cancers.The book begins with a brief introduction to systems biologyexplaining why cancer is a systems biology disease. Next, it coverssuch topics as:* Mass spectrometry in cancer research* Application of proteomics to global phosphorylationanalysis* Search for biomarkers in biofluids* Rise and fall of proteomic patterns for cancer diagnostics* Emergence of protein arrays* Role of proteomics in personalized medicineThe final chapter is dedicated to the future prospects ofproteomics in cancer research.By guiding readers through the latest proteomic technologies andtheir applications in cancer research, Proteomic Applications inCancer Detection and Discovery enhances the ability ofresearchers in proteomics and researchers in oncology tocollaborate in order to better understand cancer and developstrategies to prevent and treat it.

Preface viiAcknowledgments ix1 Systems Biology 12 Mass Spectrometry in Cancer Research 273 Quantitative Proteomics 594 Proteomic Analysis of Posttranslational Modifications 875 Characterization of Protein Complexes 1176 Global Phosphorylation Analysis 1457 the Search for Biomarkers in Biofluids 1718 Proteomic Patterns: a New Paradigm in Diagnostics And Therapeutics? 1959 the Emergence of Protein Arrays 21510 the Role of Proteomics in Personalized Medicine 24111 the Critical Role of Bioinformatics 26312 Future Prospects of Proteomics in Cancer Research 281Index 305