Abstract
Angiogenesis is the formation of new blood vessels from preexisting microvessels. Excessive and insufficient angiogenesis has been associated with many diseases including cancer, age-related macular degeneration, ischemic heart, brain, and skeletal muscle diseases. In this book chapter, we focus on the biological networks associated with angiogenesis in cancer. We review diverse studies on angiogenesis networks, including angiogenic signaling and angiogenic switch networks, global angiogenesis protein-protein interaction networks, crosstalk among angiogenic pathways, and drug networks. This chapter is for readers who are interested in cancer systems biology and bioinformatics, especially in angiogenesis.
Keywords
Authors Corban G. Rivera and Liang-Hui Chu both Contributed Equally
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- PPI:
-
Protein-protein interaction
- PIN:
-
Protein interaction network
- HUVEC:
-
Human umbilical vein endothelial cells
- GO:
-
Gene ontology
- TNF:
-
Tumor necrosis factor
- CSPN:
-
Characteristic subpathway network
- VEGF:
-
Vascular endothelial growth factor
- RTK:
-
Receptor tyrosine kinase
- NF-κB:
-
Nuclear factor kappa B
- TSP1:
-
Thrombospondin-1
- ERBB3:
-
Gene encoding for receptor tyrosine kinase
- ERB:
-
Estrogen receptor beta
- HIF1-α:
-
Hypoxia inducible factor 1
- MAP Kinase:
-
Mitogen activated protein kinase
- bFGF:
-
Basic fibroblast growth factor
- SVMs:
-
Support vector machines
- MYC:
-
Myelocytomatosis viral oncogene homolog
- TNF:
-
Tumor necrosis factor
- ClustEX:
-
Clustering techniques for automatic information extraction
- TGF-β:
-
Transforming growth factor beta
- EGF:
-
Epidermal growth factor
- FGF:
-
Fibroblast growth factor
- IL-1:
-
Interleukin-1
- kDa:
-
Kilo Dalton
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Acknowledgements
This work was supported by the National Institutes of Health (NIH) grants R01 CA138264 (ASP), and U54 RR020839 and the Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation (JSB).
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Rivera, C.G., Chu, LH., Bader, J.S., Popel, A.S. (2012). Applications of Network Bioinformatics to Cancer Angiogenesis. In: Azmi, A.S. (eds) Systems Biology in Cancer Research and Drug Discovery. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4819-4_9
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DOI: https://doi.org/10.1007/978-94-007-4819-4_9
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