Nanoscale mechanical properties of chitosan hydrogels as revealed by AFM.

In the context of tissue engineering, chitosan hydrogels are attractive biomaterials because they represent a family of natural polymers exhibiting several suitable features (cytocompatibility, bioresorbability, wound healing, bacteriostatic and fungistatic properties, structural similarity with glycosaminoglycans), and tunable mechanical properties. Optimizing the design of these biomaterials requires fine knowledge of its physical characteristics prior to assessment of the cell-biomaterial interactions. In this work, using atomic force microscopy (AFM), we report a characterization of mechanical and topographical properties at the submicron range of chitosan hydrogels, depending on physico-chemical parameters such as their polymer concentration (1.5%, 2.5% and 3.5%), their degree of acetylation (4% and 38.5%), and the conditions of the gelation process. Well-known polyacrylamide gels were used to validate the methodology approach for the determination and analysis of elastic modulus (i.e., Young's modulus) distribution at the gel surface. We present elastic modulus distribution and topographical and stiffness maps for different chitosan hydrogels. For each chitosan hydrogel formulation, AFM analyses reveal a specific asymmetric elastic modulus distribution that constitutes a useful hallmark for chitosan hydrogel characterization. Our results regarding the local mechanical properties and the topography of chitosan hydrogels initiate new possibilities for an interpretation of the behavior of cells in contact with such soft materials.

Force distribution on multiple bonds controls the kinetics of adhesion in stretched cells.

We show herein how mechanical forces at macro or micro scales may affect the biological response at the nanoscale. The reason resides in the intimate link between chemistry and mechanics at the molecular level. These interactions occur under dynamic conditions such as the shear stress induced by flowing blood or the intracellular tension. Thus, resisting removal by mechanical forces, e.g., shear stresses, is a general property of cells provided by cellular adhesion. Using classical models issued from theoretical physics, we review the force regulation phenomena of the single bond. However, to understand the force regulation of cellular adhesion sites, we need to consider the collective behavior of receptor-ligand bonds. We discuss the applicability of single bond theories to describe collective bond behavior. Depending on bond configuration, e.g., presently "parallel" and "zipper", the number of bonds and dissociation forces variably affect the kinetics of multiple bonds. We reveal a marked efficiency of the collective organization to stabilize multiple bonds by sharply increasing bond lifetime compared to single bond. These theoretical predictions are then compared to experimental results of the literature concerning the kinetic parameters of bonds measured by atomic force microscopy and by shear flow. These comparisons reveal that the force-control of bonds strongly depends on whether the force distribution on multiple bonds is homogeneous, e.g., in AFM experiments, or heterogeneous, e.g., in shear flow experiments. This reinforces the need of calculating the stress/strain fields exerted on living tissues or cells at various scales and certainly down to the molecular scale.

Micropatterned ECM substrates reveal complementary contribution of low and high affinity ligands to neurite outgrowth.

Growth and guidance of developing or regenerating axons require sensing of environmental cues (EC) by the growth cone. To explore the role of a spatially defined distribution of ligands on guidance, extension, and branching, we used a microcontact-printing technique allowing to deposit ligands as discrete spots of a size smaller than a cell body. Micropatterned substrates (MS) were created with varying distance between spots and two different ligands (laminin (LN) and fibronectin (FN)). Dissociated dorsal root ganglion neurons were seeded on either monocomponent MS made from LN or FN alone, or multicomponent MS made from alternating lines of LN and FN spots. On monocomponent MS the high-affinity ligand LN not only stimulated neurite extension, but also provided guidance and branching control, associated with marked cytoskeleton remodeling. The latter was assessed by evaluating the increase in rigidity of the distal neurite segment by Atomic Force Microscopy. In contrast, FN alone acts as a low-affinity ligand which dramatically limits neurite outgrowth. Surprisingly, observation of growth cone dynamics on multicomponent MS revealed that FN constitute a transient support for neurite progression, facilitating exploration of other EC present within a certain distance. Such a mutual contribution of high and low affinity ligands to neurite outgrowth is consistent with a recent theory of force regulation of dynamic adhesion sites showing cell's sensitivity to EC properties would actually depend on the rate of change of the reacting force, the latter controlling the otherwise instantaneous chemical binding process.

Prestress and adhesion site dynamics control cell sensitivity to extracellular stiffness.

This study aims at improving the understanding of mechanisms responsible for cell sensitivity to extracellular environment. We explain how substrate mechanical properties can modulate the force regulation of cell sensitive elements primarily adhesion sites. We present a theoretical and experimental comparison between two radically different approaches of the force regulation of adhesion sites that depends on their either stationary or dynamic behavior. The most classical stationary model fails to predict cell sensitivity to substrate stiffness whereas the dynamic model predicts extracellular stiffness dependence. This is due to a time dependent reaction force in response to actomyosin traction force exerted on cell sensitive elements. We purposely used two cellular models, i.e., alveolar epithelial cells and alveolar macrophages exhibiting respectively stationary and dynamic adhesion sites, and compared their sensitivity to theoretical predictions. Mechanical and structural results show that alveolar epithelial cells exhibit significant prestress supported by evident stress fibers and lacks sensitivity to substrate stiffness. On the other hand, alveolar macrophages exhibit low prestress and exhibit sensitivity to substrate stiffness. Altogether, theory and experiments consistently show that adhesion site dynamics and cytoskeleton prestress control cell sensitivity to extracellular environment with an optimal sensitivity expected in the intermediate range.

Mechanical and structural assessment of cortical and deep cytoskeleton reveals substrate-dependent alveolar macrophage remodeling.

The sensitivity of alveolar macrophages to substrate properties has been described in a recent paper (Féréol et al., Cell Motil. Cytoskel. 63 (2006), 321-340). It is presently re-analyzed in terms of F-actin structure (assessed from 3D-reconstructions in fixed cells) and mechanical properties (assessed by Magnetic Twisting Cytometry experiments in living cells) of cortical and deep cytoskeleton structures for rigid plastic (Young Modulus: 3 MPa) or glass (70 MPa) substrates and a soft (approximately 0.1 kPa) confluent monolayer of alveolar epithelial cells. The cortical cytoskeleton component (lowest F-actin density) is represented by the rapid and softer viscoelastic compartment while the deep cytoskeleton component (intermediate F-actin density) is represented by the slow and stiffer compartment. Stiffness of both cortical and deep cytoskeleton is significantly decreased when soft confluent monolayer of alveolar epithelial cells replace the rigid plastic substrate while F-actin reconstructions reveal a consistent actin cytoskeleton remodeling observable on both cytoskeleton components.

A cellular automaton model for the migration of glioma cells.

We present a study of in vitro cell migration in two dimensions as a first step towards understanding the mechanisms governing the motility of glioma cells. Our study is based on a cellular automaton model which aims at reproducing the kinetics of a lump of glioma cells deposited on a substrate of collagen. The dynamical effects of cell attraction and motion inertia are introduced through adequate automaton rules. We compare the density profiles given by the model to those obtained experimentally. The result of the best fit indicates a substantial cell-cell attraction due to cell-cell communication through gap junctions (or chemotaxis) and negligible inertia effects during migration. Tracking of individual migrating cells indicates highly convoluted cell trajectories.