Cancer Systems Biology: Current Achievements in – Omics Data Analysis, Network Reconstruction and Mathematical Modelling
Other Publication ResearchOnline@JCUAbstract
Systems biology is a multidisciplinary methodology in which quantitative biological experimental data are dissected using mathematical modelling and other computational and network biology tools, aiming at understanding the structure, function and dynamical regulation of biochemical networks. Systems biology will play a major role in the future molecular and clinical oncology because (a) it can be used for the analysis of cancer-relevant high-throughput data, (b) it provides tools for the reconstruction of the large multilevel regulatory networks that govern critical cancer phenotypes and (c) it is necessary when investigating cancer-relevant networks holding multiple overlapping nonlinear regulatory motifs like feedback and feedforward loops. Here, the value of the systems biology approach in handling cancer genomics and transcriptomics data, the reconstruction of cancer networks and the use of mathematical modelling in the elucidation of cancer networks as well as in the design of anticancer therapies are discusses. Some recent case studies as proof of principle are highlighted.
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9780470015902
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12
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John Wiley & Sons
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Chichester, UK
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DOI
10.1002/9780470015902.a0025237