Cancer systems biology
Author(s)
Bibliographic Information
Cancer systems biology
（Chapman and Hall/CRC mathematical & computational biology series / series editors Alison M. Etheridge ... [et al.], 32）
Chapman & Hall/CRC, c2010
- : hbk
Available at / 5 libraries
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University Library for Agricultural and Life Sciences, The University of Tokyo図
: hbk491.65:W375010585254
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Description and Table of Contents
Description
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 BiologistsUnusual 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 ExpertsPart 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.
Table of Contents
CANCER SYSTEMS BIOLOGY: CONCEPTS AND APPLICATIONS. A Roadmap of Cancer Systems Biology. Network Biology, the Framework of Systems Biology. Reconstructing Gene Networks Using Gene Expression Profiles. Understanding Cancer Progression in Protein Interaction Networks. From Tumor Genome Sequencing to Cancer Signaling Maps. Ubiquitin-Mediated Regulation of Human Signaling Networks in Normal and Cancer Cells. microRNA Regulation of Networks of Normal and Cancer Cells. Network Model of Survival Signaling in T-Cell Large Granular Lymphocyte Leukemia. Cancer Metabolic Networks: Metabolic Pathways Modeling and Metabolomics in Cancer Research. Warburg Revisited: Modeling Energy Metabolism for Cancer Systems Biology. Cancer Gene Prediction Using a Network Approach. CANCER BIOLOGY: BASIC CONCEPTS AND CUTTING-EDGE TOPICS. Cancer Genomics to Cancer Biology. Epithelial-to-Mesenchymal Transition (EMT): The Good, the Bad, and the Ugly. Tumors and Their Microenvironments. Tumor Angiogenesis: Cell-Microenvironment Interactions. DATA RESOURCES AND SOFTWARE TOOLS FOR CANCER SYSTEMS BIOLOGY. Modeling Tools for Cancer Systems Biology. Advanced Visualization, Analysis and Inference of Biological Networks Using VisANT. Gene Set and Pathway-Based Analysis for Cancer Omics. SH2 Domain Signaling Network and Cancer. Data Sources and Computational Tools for Cancer Systems Biology.
by "Nielsen BookData"
