HOW DOES A ROBUST AND ADAPTIVE CELL DIVISION EMERGE FROM THE NUMEROUS INTERACTIONS OF INVOLVED PLAYERS?
The lab aims to address this question using a multi-disciplinary approach.
We will account for the emergence of properties like robustness to perturbations (either for good, in development, or bad in cancerous cells able to divide despite their accumulated defects) or adaptability to protein evolution .
![Microtubules dynamics contribute to regulating the pulling forces undergone by the mitotic spindle. This contributes to its positioning, elongation and rocking. When the spindle is far from its final posterior position, few microtubules reach the area where force generators are active, precluding a premature pulling (A). This is a positional switch upon the forces exerted on the spindle [Riche et al. JCB 2013, Bouvrais et al., In prep.]. A-B. Schematic representations of nematode embryos showing (A) overcen](/sites/igdr.univ-rennes1.fr/files/styles/max_2600x2600/public/medias/images/pecreaux_fig1_0.jpg?itok=k68pLJFf "Microtubules dynamics contribute to regulating the pulling forces undergone by the mitotic spindle")
To do so, the relevant level is, rather than the protein or protein complex level, the mechanism that can be seen as a (broad) pathway, which is well-conserved thorough evolution. This is a network of interacting players well approached by the statistical physics. Such a change of paradigm is highly promising for future applications in cancer therapy.
In contrast to previous “biochemical” systems biology approaches, we focus on mechanics, in vivo. Indeed, mitosis involves regulation of forces that position the spindle, separate sister chromatids, etc. We benefit from the growing corpus of in vitro experiments shedding light on the properties and roles of microfilaments and molecular motors. We investigate not only the dynamics of components but also pseudo-balance in forces, for example the slow elongation of the spindle (out-of-equilibrium in the words of physics). This pseudo-balance provides an advantage in adaptability .
To do so, we develop microscopy and image processing tools to quantify the dynamics in vivo using C. elegans as a model organism and we model it (using mathematical equations and numerical simulations) using out-of-equilibrium statistical physics.
Indeed, we aim to build a multi-scale model, using out-of-equilibrium statistical physics, linking the molecular details to the “macroscopic” mechanisms, completed by numerical simulations (virtual cell division) to test the role of each component in silico; this could serve as a predictive tool for fundamental and applied research (testing/screening of drugs e.g.). To ease the applicability of our recapitulating models, we started testing our models on cultured human cells (leukemia).
