Abstract
Signal transduction systems are known to widely regulate complex biological events such as cell proliferation, differentiation, and apoptosis. Since numerous biological analyses have revealed phosphotyrosine-dependent networks play a key role in transmitting signals, a comprehensive and fine description of their dynamic behavior would contribute substantially toward system-level understanding of the regulatory mechanisms that result in each biological effect. Recent technological advances in mass spectrometry-based proteomics have enabled us to obtain a network-wide description of signaling dynamics through the comprehensive identification and quantification of tyrosine-phosphorylated molecules within a cell. This chapter introduces the current status of quantitative proteomics technology for temporal studies of signal transduction and the application of their dynamics data to mathematical analyses of the regulatory networks.
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Oyama, M., Tasaki, S., Kozuka-Hata, H. (2010). Tyrosine-Phosphoproteome Dynamics. 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_18
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DOI: https://doi.org/10.1007/978-1-4419-5797-9_18
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