[An array of microfabricated pillars to study cell migration].
Mechanical forces play an important role in various cellular functions, such as tumor metastasis, embryonic development or tissue formation. Cell migration involves dynamics of adhesive processes and cytoskeleton remodelling, leading to traction forces between the cells and their surrounding extracellular medium. To study these mechanical forces, a number of methods have been developed to calculate tractions at the interface between the cell and the substrate by tracking the displacements of beads or microfabricated markers embedded in continuous deformable gels. These studies have provided the first reliable estimation of the traction forces under individual migrating cells. We have developed a new force sensor made of a dense array of soft micron-size pillars microfabricated using microelectronics techniques. This approach uses elastomeric substrates that are micropatterned by using a combination of hard and soft lithography. Traction forces are determined in real time by analyzing the deflections of each micropillar with an optical microscope. Indeed, the deflection is directly proportional to the force in the linear regime of small deformations. Epithelial cells are cultured on our substrates coated with extracellular matrix protein. First, we have characterized temporal and spatial distributions of traction forces of a cellular assembly. Forces are found to depend on their relative position in the monolayer : the strongest deformations are always localized at the edge of the islands of cells in the active areas of cell protrusions. Consequently, these forces are quantified and correlated with the adhesion/scattering processes of the cells.
Buguin
Axel
A
Laboratoire de physico-chimie,UMR 168 CNRS, Institut Curie, 26 rue d'Ulm, 75005 Paris Cedex 05, France.
Chavrier
Philippe
P
Ladoux
Benoit
B
du Roure
Olivia
O
Saez
Alexandre
A
Silberzan
Pascal
P
D001696:Biomechanical Phenomena; D002465:Cell Movement / Q000502:physiology*; D002468:Cell Physiological Phenomena; D008954:Models, Biological