| Speaker: |
Tatsuo Shibata
Department of mathematical and life sciences, Hiroshima University |
| Title: |
Statistical analysis and mathematical modeling of spontaneous activities of chemotactic cells |
| : | Mathematical modeling is one of the way to integrate the informations of complex biological processes into higher-level phenomena. For developing a mathematical model, quantitative imaging analysis of living cells is increasingly important. Here, I will show examples of mathematical modeling based on statistical analysis of single cell imaging data. Chemotactic cells exhibit spontaneous cell migration even without external chemoattractant gradient, which is generated by intracellular processes of self-polarization and local locomotive activities. We found that at the non-stimulated resting-state self-organized spatiotemporal pattern formation takes place in the PtdIns lipids signaling system, which generates an intracellular cue responsible for cellular migration in Dictyostelium cells. From the time-lapse data of fluorescent images of each single cell, we reconstructed a phase portrait of the characteristic oscillatory dynamics in the PtdIns lipids system. Based on the reconstructed dynamics, we developed a reaction-diffusion model that successfully reproduced several spatiotemporal patterns observed experimentally. The constructed mathematical model can explain the mechanism of stable response to shallow chemoattractant gradient. |
