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Most cells possess the ability to change morphology or migrate in response to various environmental cues. To understand the molecular mechanisms that drive cell movement requires a systems-level approach that combines computational approaches, including mathematical modeling and image analysis tools, with high resolution microscopy of living cells. Here we present several examples for how such an integrated research strategy has been successfully applied. First, we combine stochastic modeling with novel biosenors for monitoring the spatiotemporal dynamics of Rho GTPase activity to investigate the role of RhoG in cell polarization and migration. Next mathematical modeling and quantitative image analysis methods are used to establish the role of cerebral cavernous malformation (CCM) proteins in vascular tube formation. Finally, we combine image analysis methods with a novel experimental construct for selectively activating members of the Src kinase family to quantify the role of these proteins in regulating dynamic changes in cell shape.
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Seminar |
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Date： |
January27, 2012(Fri.) 15:00～16:30 |
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Place： |
Faculty
of Science Bldg.3, 4F, room 412 |
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Host： |
Shinya
Kuroda(skuroda AT bi.s.u-tokyo.ac.jp) |
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