Abstract
Signal transduction is part of a complex communication system responsible for regulating fundamental cellular activities, including metabolism, protein synthesis, division, migration, and survival. The capacity of cells to perceive and precisely respond to their environment is critical to development, tissue repair, and normal tissue homeostasis. Vast amounts of disparate, postgenomic data facilitated by the development of high-throughput technologies are now available and computational modeling is needed to synthesize and understand these data within their systems biology context. In this chapter, we discuss computational approaches available to model signal transduction and present several types of Boolean network models of cell signaling during tumor angiogenesis. Using these models, we investigate the role of cross-talk between chemical and stromal factors in endothelial cell phenotype determination. Understanding the principal mechanisms underpinning the functions of signalling networks will enable identification of targets for pharmacological interventions in the treatment of cancer and other angiogenesis-dependent diseases.
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Bauer, A.L., Rohlf, T. (2012). Investigating the Role of Cross-Talk Between Chemical and Stromal Factors in Endothelial Cell Phenotype Determination. In: Jackson, T.L. (eds) Modeling Tumor Vasculature. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0052-3_4
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