Systems Biology in Cancer Research and Drug DiscoveryAsfar S Azmi Springer Science & Business Media, 29.09.2012 - 423 Seiten Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer. |
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... gene-expression data), in order to obtain an integrated model of the gene-protein-metabolite interactions. Such framework represents a meaningful discontinuity with respect to the reductionist and qualitative molecular biology, and ...
... gene-expression have also been noticed in developing embryo cells or during wound healing (Riss et al. 2006). It is, therefore, quite obvious that a high, statistically significant association holds between profound metabolic changes and ...
... gene expression. A meaningful change in energy as well as in lipid metabolism in focal preneoplastic lesions ... gene signalling networks deregulation and eventually lead to cancer initiation, with genetic abnormalities emerging only ...
... gene expression patterns. Shifts in intracellular redox state may also contribute to spatial differences in cell activity, especially after compaction, and perhaps even major embryonic events such as fertilization, genome activation and ...
... Regulation. Data provided by metabolic studies in cancer have highlighted how complex are the regulatory mechanisms underlying biological functions and how ... gene expression 22 M. Bizzarriet al. 6 Complexity of Metabolism Regulation.
Inhalt
Systems Approaches to Understand Cancer Progression | 165 |
Systems and Network Biology in Decoding miRNA Complexity | 246 |
Network Modeling in Cancer Drug Discovery and Clinical Trials | 307 |
Erratum | 418 |
Index | 419 |