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 researchApplication of
proteomics to global phosphorylation analysisSearch for biomarkers
in biofluidsRise and fall of proteomic patterns for cancer
diagnosticsEmergence of protein arraysRole 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.
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