Atomic force microscopy investigation of morphological changes in living keratinocytes treated with HgCl(2) at not cytotoxic doses.

Morphological changes of normal human keratinocyte cells have been monitored by means of atomic force microscopy after the exposure at a mercury solution containing HgCl(2) at 10(-7) M. The measurements have been carried out in contact mode in a thermostated liquid cell, to reproduce a cellular environment similar to the physiologic one. Remarkable alterations of the cellular morphology and volume have been revealed after few minutes from starting the exposure experiment, although the HgCl(2) concentration is several orders of magnitudes lower than the cytotoxic value (10(-4) M). The atomic force microscopy technique results to be a powerful mean to investigate modifications induced in the cell morphology by external chemical agents.

Coarse-grained elastic network modelling: A fast and stable numerical tool to characterize mesenchymal stem cells subjected to AFM nanoindentation measurements.

The knowledge of the mechanical properties is the starting point to study the mechanobiology of mesenchymal stem cells and to understand the relationships linking biophysical stimuli to the cellular differentiation process. In experimental biology, Atomic Force Microscopy (AFM) is a common technique for measuring these mechanical properties. In this paper we present an alternative approach for extracting common mechanical parameters, such as the Young's modulus of cell components, starting from AFM nanoindentation measurements conducted on human mesenchymal stem cells. In a virtual environment, a geometrical model of a stem cell was converted in a highly deformable Coarse-Grained Elastic Network Model (CG-ENM) to reproduce the real AFM experiment and retrieve the related force-indentation curve. An ad-hoc optimization algorithm perturbed the local stiffness values of the springs, subdivided in several functional regions, until the computed force-indentation curve replicated the experimental one. After this curve matching, the extraction of global Young's moduli was performed for different stem cell samples. The algorithm was capable to distinguish the material properties of different subcellular components such as the cell cortex and the cytoskeleton. The numerical results predicted with the elastic network model were then compared to those obtained from hertzian contact theory and Finite Element Method (FEM) for the same case studies, showing an optimal agreement and a highly reduced computational cost. The proposed simulation flow seems to be an accurate, fast and stable method for understanding the mechanical behavior of soft biological materials, even for subcellular levels of detail. Moreover, the elastic network modelling allows shortening the computational times to approximately 33% of the time required by a traditional FEM simulation performed using elements with size comparable to that of springs.