Princeton University Library Catalog

Cancer systems biology / edited by Edwin Wang.

Boca Raton, FL : CRC Press, c2010.
xix, 419 p., [16] p. of plates : ill. (some col.) ; 26 cm.
  • Chapman and Hall/CRC mathematical & computational biology series ; 32. [More in this series]
  • Chapman & Hall/CRC mathematical and computational biology series ; [32]
Summary note:
"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." "Unique 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." "Section 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. Section II discusses basic cancer biology and cuttingedge topics of cancer research for computational biologists. It contains an overview of genomics, cell signaling, and tumorigenesis, in addition to hot topics such as 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, Section III explores a variety of computational tools and public data resources that are useful for studying cancer problems at a systems level." "Cancer system 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."--BOOK JACKET.
Bibliographic references:
Includes bibliographical references and index.
Section I. Cancer Systems Biology: Concepts and Applications -- Chapter 1. A Roadmap of Cancer Systems Biology / Edwin Wang -- Chapter 2. Network Biology, the Framework of Systems Biology / Jing-Dong Han -- Chapter 3. Reconstructing Gene Networks Using Gene Expression Profiles / Diego Di Bernardo -- Chapter 4. Understanding Cancer Progression in Protein Interaction Networks / Edwin Wang -- Chapter 5. From Tumor Genome Sequencing to Cancer Signaling Maps / Edwin Wang -- Chapter 6. Ubiquitin-Mediated Regulation of Human Signaling Networks in Normal and Cancer Cells / Edwin Wang -- Chapter 7. microRNA Regulation of Networks of Normal and Cancer Cells / Edwin Wang -- Chapter 8. Network Model of Survival Signaling in T-Cell Large Granular Lymphocyte Leukemia / Reka Albert -- Chapter 9. Cancer Metabolic Networks: Metabolic Pathways Modeling and Metabolomics in Cancer Research / Miroslava Cuperlovic-Culf -- Chapter 10. Warburg Revisited: Modeling Energy Metabolism for Cancer Systems Biology / Mathieu Cloutier -- Chapter 11. Cancer Gene Prediction Using a Network Approach / Shao Li -- Section II. Cancer Biology: Basic Concepts and Cutting-Edge Topics -- Chapter 12. Cancer Genomics to Cancer Biology / Chabane Tibiche -- Chapter 13. Epithelial-to-Mesenchymal Transition (EMT): The Good, the Bad, and the Ugly / Anne E. G. Lenferink -- Chapter 14. Tumors and Their Microenvironments / Morag Park -- Chapter 15. Tumor Angiogenesis: Cell-Microenvironment Interactions / Maria J. Moreno -- Section III. Data Resources and Software Tools for Cancer Systems Biology -- Chapter 16. Modeling Tools for Cancer Systems Biology / David S. Wishart -- Chapter 17. Advanced Visualization, Analysis, and Inference of Biological Networks Using VisANT / Zhenjun Hu -- Chapter 18. Gene Set and Pathway-Based Analysis for Cancer Omics / Seon-Young Kim -- Chapter 19. SH2 Domain Signaling Network and Cancer / Thamara K.J. Dayarathna -- Chapter 20. Data Sources and Computational Tools for Cancer Systems Biology / Edwin Wang.
  • 9781439811856 (alk. paper)
  • 1439811857 (alk. paper)
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