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Pathway Crosstalk Network

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Systems Biology for Signaling Networks

Part of the book series: Systems Biology ((SYSTBIOL))

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Abstract

Common diseases such as cancer, diabetes, obesity, and asthma are caused by defects in multiple genes and pathways. Thus, it is not surprising that the current one-target-one-compound approach in drug discovery and development has failed to deliver as many efficacious medicines as expected in the post-genomic era. Network biology offers new opportunities for pharmaceutical industry as it aims at understanding diseases by investigating disease mechanism at the network level. We proposed a novel way to study biological networks through pathway crosstalk. We developed a computational approach to systematically detect crosstalk among pathways based on protein interactions between pathway members. We built a global pathway crosstalk network that includes 580 pathways and covers 4,753 genes. This network exhibits the same characteristics as gene networks such as the scale-free property and clustering of functionally related network nodes. We further used this network to understand colorectal cancer progression to metastasis based on transcriptomic data.

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Acknowledgments

This work was supported by Computational Biology, Drug Discovery, and GlaxoSmithKline R&D. I thank Dilip Rajagopalan, Pankaj Agarwal, and Sihai D. Zhao for their contributions to the work (Li et al. 2008; Zhao and Li 2007) cited in this chapter.

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  1. Computational Biology, GlaxoSmithKline R&D, 709 Swedeland Road, UW2230, King of Prussia, PA, 19406, USA

    Yong Li

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  1. College of Natural Science, Dept. Biological Science, Department of Molecular Science and Tech, Suwon, 442-749, Korea, Republic of (South Korea)

    Sangdun Choi

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Li, Y. (2010). Pathway Crosstalk Network. In: Choi, S. (eds) Systems Biology for Signaling Networks. Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5797-9_20

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