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Applications of Network Bioinformatics to Cancer Angiogenesis

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Systems Biology in Cancer Research and Drug Discovery

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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.

Authors Corban G. Rivera and Liang-Hui Chu both Contributed Equally

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Abbreviations

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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Authors and Affiliations

  1. Department of Biomedical Engineering, Johns Hopkins University, 720 Rutland Avenue, 613 Traylor Bldg, Baltimore, MD, 21205, USA

    Corban G. Rivera, Liang-Hui Chu, Joel S. Bader & Aleksander S. Popel

  2. High-Throughput Biology Center, Johns Hopkins School of Medicine, Johns Hopkins University, 733 N. Broadway Street Broadway Research Building, Room 359, Baltimore, MD, 21205, USA

    Corban G. Rivera & Joel S. Bader

Authors
  1. Corban G. Rivera
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  2. Liang-Hui Chu
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  3. Joel S. Bader
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  4. Aleksander S. Popel
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Corresponding author

Correspondence to Corban G. Rivera .

Editor information

Editors and Affiliations

  1. Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA

    Asfar S. Azmi

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© 2012 Springer Science+Business Media Dordrecht

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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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