"Supported Membranes: Platform for Dynamic Phenotyping of Diseases"

Vous êtes cordialement invités à la conférence "Supported Membranes: Platform for Dynamic Phenotyping of Diseases" de Motomu Tanaka, Physical Chemistry of Biosystems, Heidelberg University, Germany, Center for Integrative Medicine and Physics, Kyoto University, Japan, organisée par l'Institut Charles Sadron

Resumé:

In 1944, Erwin Schrödinger proposed the concept of “negative entropy” in his monograph “What is Life?”, and explained why the fluctuation on the molecular level is not dissipated as “heat” like the second law of thermodynamics predicts. In contrast, the break of symmetry led to the formation of hierarchical structures that covers several orders of magnitudes, e.g. 10−9 m (molecule) – 100 m (human body). However, despite of the remarkable progress in science dealing with open non-equilibrium systems (life), most of experimental studies have been dealing with simple toy models or established cell lines. It is time to design new experimental and analytical platforms dealing with primary samples from patients and donors, which can “quantitatively answer” clinically relevant questions.
Planar lipid membranes deposited on solid substrates, called “supported membranes”, functionalized with various cell adhesion ligands and extracellular compotents can be used as quantitative in vitro models of cellular microenvironments. In my talk, I selected a couple of recent challenges of my team in this direction, such as; (1) extraction of characteristic spatio-temporal patterns (dynamic phenotypes) for cancer metastasis, (2) improvement of leukemia therapy by descriminating dynamics of healthy vs. leukemic hematopoietic stem cells in bone marrow microenvironments, and (3) unraveling the “mode of action” of chemokines and clinical drugs by combining dynamic cellular phenotyping and mathematical modeling.

Les personnes souhaitant rencontrer Motomu Tanaka sont priées de prendre contact avec Marie-Pierre Krafft (tel. 03 88 41 40 60 ou mail marie-pierre.krafft@ics-cnrs.unistra.fr)