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 40
... metabolic theory” was thought as a not specific (and not significant) “epiphenomenona” and rapidly discarded. Due to the meaningful insights provided by metabolomics, the Warburg's theory has unexpectedly enjoyed a resurrection in the ...
... metabolic phenotype in culture under normoxic conditions. This implies that the interplay existing in normal cells between mitochondrial respiration and glycolytic flux, by which high O2 values inhibit the latter process (the so-called ...
... metabolic pathways. On entering the cell, glucose is converted to pyruvate by glycolysis. In normal cells, pyruvate undergoes oxidative phosphorylation in mitochondria, through the TCA cycle. In cancer cells, pyruvate is prevalently ...
... metabolic phenotype under normoxic conditions, indicating that aerobic glycolysis is constitutively up-regulated through genetic and/or epigenetic changes, mainly involving the hypoxia-inducible factor 1 (HIF-1a), the PI3K-Aktkinase ...
... metabolic data can be successfully used in discriminating different metabolic phenotypes of the same cancer cells, evidencing that metabolic profiles, anabolic as well as energy requirements of the tumour can vary in presence of ...
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 |