Medical Sciences Group/Intra-University Cooperative LaboratoriesOyama Laboratory
(Medical Proteomics Laboratory, IMS)

proteomics, network analysis, cancer, signal transduction, translation control
Proteomics and systems biology of signal transduction networks

Signal transduction systems are known to regulate complex biological events such as cell proliferation and differentiation via sequential phosphorylation/dephosphorylation reactions all over cellular networks. Previous in-depth cell signaling analyses under a variety of experimental conditions revealed many of the key molecules and related events leading to each biological effect. Although the widespread association of signaling molecules contributes essentially to cellular regulation, their network-wide behavior is mostly yet to be analyzed.
 Recent technological advances regarding high resolution mass spectrometry-based quantitative proteomics,in combination with phosphorylation-directed protein/peptide enrichment methodology, have enabled us to grasp the dynamic status of phosphorylated signaling molecules in a comprehensive and unbiased manner. In our previous studies, phosphoproteomics-based numerical modeling was applied to evaluate regulatory network elements from a statistical point of view and further integration with transcriptome dynamics led us to uncover regulatory hubs at the transcriptional level. Currently,we mainly focus on establishument of theoretical platforms for comprehensive evaluation of drug targets regarding disease-related signaling networks to understand and regulate aberrant cellular responses from a systems perspective.

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