The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discoveries and biological insights.
The First Cancer Systems Biology Book Designed for Computational and Experimental Biologists Unusual in its dualistic approach, Cancer Systems Biology discusses the recent progress in the understanding of cancer systems biology at a time when more and more researchers and pharmaceutical companies are looking into a systems biology approach to find drugs that can effectively be used to treat cancer patients.
Includes Contributions from more than 30 International Experts Part I introduces basic concepts and theories of systems biology and their applications in cancer research, including case studies of current efforts in cancer systems biology. Part II discusses basic cancer biology and cutting-edge topics of cancer research for computational biologists. In contains an overview of genomics, cell signaling, and tumorigenesis, in addition to hot topics like molecular mechanisms of cancer metastasis and the molecular relationships between solid tumors, their microenvironments, and tumor blood vessels. Rounding out the book's solid coverage, Part III explores a variety of computational tools and public data resources that are useful for studying cancer problems at a systems level.
Cancer systems biology is still in its infancy as a field of study, but it is fast becoming indispensable in the battle to defeat cancer and develop successful new treatments. Cancer Systems Biology marks an important step toward reaching that goal.
Foreword Hiroaki Kitano, President, The Systems Biology Institute, Tokyo, Japan CANCER SYSTEMS BIOLOGY: CONCEPTS AND APPLICATIONS A Roadmap of Cancer Systems Biology Edwin Wang Network Biology, the Framework of Systems Biology Jing-Dong Han Reconstructing Gene Networks Using Gene Expression Profiles Mario Lauria and Diego di Bernardo Understanding Cancer Progression in Protein Interaction Networks Jinsheng Sun, Jie Li, and Edwin Wang From Tumor Genome Sequencing to Cancer Signaling Maps Cong Fu and Edwin Wang Ubiquitin-Mediated Regulation of Human Signaling Networks in Normal and Cancer Cells Cong Fu, Jie Li, and Edwin Wang microRNA Regulation of Networks of Normal and Cancer Cells Pradeep Kumar Shreenivasaiah, Do Han Kim, and Edwin Wang Network Model of Survival Signaling in T-Cell Large Granular Lymphocyte Leukemia Ranran Zhang, Thomas P. Loughran, Jr., and Reka Albert Cancer Metabolic Networks: Metabolic Pathways Modeling and Metabolomics in Cancer Research Miroslava Cuperlovic-Culf Warburg Revisited: Modeling Energy Metabolism for Cancer Systems Biology Mathieu Cloutier Cancer Gene Prediction Using a Network Approach Xuebing Wu and Shao Li CANCER BIOLOGY: BASIC CONCEPTS AND CUTTING-EDGE TOPICS Cancer Genomics to Cancer Biology Maria Luz Jaramillo and Chabane Tibiche Epithelial-to-Mesenchymal Transition (EMT): The Good, the Bad, and the Ugly Anne E.G. Lenferink Tumors and Their Microenvironments Nicholas R. Bertos and Morag Park Tumor Angiogenesis: Cell-Microenvironment Interactions Ally Pen, Danica B. Stanimirovic, Maria J. Moreno DATA RESOURCES AND SOFTWARE TOOLS FOR CANCER SYSTEMS BIOLOGY Modeling Tools for Cancer Systems Biology Wayne Materi and David S. Wishart Advanced Visualization, Analysis and Inference of Biological Networks Using VisANT Zhenjun Hu Gene Set and Pathway-Based Analysis for Cancer Omics Dougu Nam and Seon-Young Kim SH2 Domain Signaling Network and Cancer Shawn S.-C. Li and Thamara K.J. Dayarathna Data Sources and Computational Tools for Cancer Systems Biology Yun Ma, Pradeep Kumar Shreenivasaiah, and Edwin Wang
Edwin Wang received his PhD in experimental molecular genetics from the University of British Columbia in 2002. He also has undergraduate training in computer science. After working at FlyBase for a year, he moved to the Biotechnology Research Institute, National Research Council Canada, as a scientist working on bioinformatics and systems biology. He is currently a senior scientist at the National Research Council Canada and an adjunct professor at the McGill University Center for Bioinformatics. His work is focused on bioinformatics, computational, and experimental systems biology.
Reviews for Cancer Systems Biology
This book is a wonderful and significant collection of chapters describing recent progress of cancer systems biology. This is a timely attempt as more and more researchers and pharmaceutical companies are looking into a systems biology approach to treat cancer patients and to find drugs that can be effectively used for cancer patients. At the same time, readers may realize the breadth of subjects that are involved in cancer systems biology. -From the Foreword by Hiroaki Kitano, President, The Systems Biology Institute, and Director, Sony Computer Science Laboratories, Inc., Tokyo, Japan