Systems Biology in Cancer Research and Drug Discovery

ISBN-13: 9789400794351 / Angielski / Miękka / 2014 / 423 str.

Asfar S. Azmi

Opis

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.

Spis treści

Preface. PART I Systems Biology in Cancer.1 Systems Biology Approach to Metabolomics in Cancer Studies.2 System Biology Approach to Study Cancer Related Pathway.3 Modeling Oncogenic Signaling Networks from Gene Expression Dynamics.4 An Integrated Systems Approach to the Study of Pancreatic Cancer.5 Protein Microarray: an Ideal Platform for Systems Biology.6 Systems Biology of Pancreatic Cancer: the Role of Tumor-Microenvironment communication in Development, Progression and Therapy Resistance.PART II Systems Approaches to understand cancer Progression.7 Understanding Cancer Progression Using Protein Interaction Networks.8 Understanding the Dynamics of Tumor Angiogenesis: a Systems Biology Approach.9 Applications of Network Bioinformatics to Cancer Angiogenesis.PART III Systems and Network Biology in decoding miRNA complexity. 10 Human MicroRNA Targetome Indicates a Specialized Role of MicroRNAs in Regulation of Oncogenesis.11 Novel and Alternative Bioinformatics Approaches to understand miRNA-    mRNA Interactome in Cancer Research.12 Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA-target Dysregulated  Network.PART IV Network Modeling in Cancer Drug Discovery and clinical trials.13 Development and Clinical Implementation of Reverse Phase Protein Microarrays for Protein Network Activation Mapping: Personalized Cancer Therapy.14 The Principle of Rational Design of Drug Combination and Personalized Therapy Based  on Network Pharmacology.15 Relevance of Network Hierarchy in Cancer Drug-Target Selection.16 Computational Infrastructures for Large Scale Data Access and Analysis in Post-Genomic Clinical Trials.17 Network Pharmacology: an Emerging area in anti-cancer drug discovery.INDEX.