Cancer Systems Biology

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Edwin Wang
CRC Press, May 4, 2010 - Science - 456 pages
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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.

 

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Contents

Chapter 1 A Roadmap of Cancer Systems Biology
3
Chapter 2 Network Biology the Framework of Systems Biology
23
Chapter 3 Reconstructing Gene Networks Using Gene Expression Profiles
35
Chapter 4 Understanding Cancer Progression in Protein Interaction Networks
53
Chapter 5 From Tumor Genome Sequencing to Cancer Signaling Maps
69
Chapter 6 UbiquitinMediated Regulation of Human Signaling Networks inNormal and Cancer Cells
91
Chapter 7 microRNA Regulation of Networks of Normal and Cancer Cells
107
Chapter 8 Network Model of Survival Signaling inTCell Large Granular Lymphocyte Leukemia
125
Chapter 13 EpithelialtoMesenchymal Transition EMT
233
Chapter 14 Tumors and Their Microenvironments
261
Chapter 15 Tumor Angiogenesis
283
Section III Data Resources and Software Tools for Cancer Systems Biology
303
Chapter 16 Modeling Tools for Cancer Systems Biology
305
Chapter 17 Advanced Visualization Analysis and Inference of Biological Networks Using VisANT
323
Chapter 18 Gene Set and PathwayBased Analysis for Cancer Omics
351
Chapter 19 SH2 Domain Signaling Network and Cancer
367

Chapter 9 Cancer Metabolic Networks
143
Chapter 10 Warburg Revisited
165
Chapter 11 Cancer Gene Prediction Using a Network Approach
191
Basic Concepts and CuttingEdge Topics
213
Chapter 12 Cancer Genomics to Cancer Biology
215
Chapter 20 Data Sources and Computational Tools for Cancer Systems Biology
383
Index
395
Color Insert
421
Back cover
437
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About the author (2010)

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.

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