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„By guiding readers through the latest proteomictechnologies and their applications in cancer research,“Proteomic Applications in Cancer Detection and Discovery„enhances the ability of researchers in proteomics and researchersin oncology to collaborate in order to better understand cancer anddevelop strategies to prevent and treat it.“ (Newbooks. lib, 11 September 2014
Proteomic Applications in Cancer Detection and Discovery
von Timothy D. VeenstraHelps researchers in proteomics and oncology work together tounderstand, prevent, and cure cancer
Proteomic 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 biology, explaining 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 medicine
The 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.
Proteomic 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 biology, explaining 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 medicine
The 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.
