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. |
Im Buch
Ergebnisse 1-5 von 90
... genetic and/or epigenetic changes, mainly involving the hypoxia-inducible factor 1 (HIF-1a), the PI3K-Aktkinase ... genes and Warburg-like metabolism. Thus, the association is far from a simple one and seems to involve the overall gene ...
... genetic abnormalities emerging only late in the course of carcinogenesis. According to this hypothesis, it has been ... genes. Similarly, myeloid metaplasia induced by chronic isofenphos exposure is accompanied by increased glucose ...
... genes related to the glycolytic pathway (Varum et al. 2011). Embryonic cells have a greater reliance on glycolysis and this feature is mediated by increasing hexokinase II levels and inactivation of the PDH (pyruvate dehydrogenase) ...
... genetic modifications ('metabolomics') (Fiehn 2002). According to this framework, the metabolome of a given cell is a highly context-dependent phenotype, thought to represent the integrated end-point of many regulatory signalling events ...
... genetic level, as a consequence of non-linear dynamical processes (Yoshida 2010). Therefore, tumour metabolome could hardly be mechanistically linked to the linear dynamics of a few gene regulatory networks but is more than likely to be ...
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 |