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AFM mapping of the elastic properties of brain tissue reveals kPa μm−1gradients of rigidity
Author(s) -
Nicolas Bouchonville,
Mikaël Meyer,
Christophe Gaude,
Emmanuel Gay,
David Ratel,
Alice Nicolas
Publication year - 2016
Publication title -
soft matter
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 170
eISSN - 1744-6848
pISSN - 1744-683X
DOI - 10.1039/c6sm00582a
Subject(s) - rigidity (electromagnetism) , rheology , indentation , materials science , atomic force microscopy , adhesive , elasticity (physics) , nanotechnology , biomedical engineering , viscoelasticity , biophysics , biological system , composite material , medicine , layer (electronics) , biology
It is now well established that the mechanical environment of the cells in tissues deeply impacts cellular fate, including life cycle, differentiation and tumor progression. Designs of biomaterials already include the control of mechanical parameters, and in general, their main focus is to control the rheological properties of the biomaterials at a macroscopic scale. However, recent studies have demonstrated that cells can stress their environment below the micron scale, and therefore could possibly respond to the rheological properties of their environment at this micron scale. In this context, probing the mechanical properties of physiological cellular environments at subcellular scales is becoming critical. To this aim, we performed in vitro indentation measurements using AFM on sliced human pituitary gland tissues. A robust methodology was implemented using elasto-adhesive models, which shows that accounting for the adhesion of the probe on the tissue is critical for the reliability of the measurement. In addition to quantifying for the first time the rigidity of normal pituitary gland tissue, with a geometric mean of 9.5 kPa, our measurements demonstrated that the mechanical properties of this tissue are far from uniform at subcellular scales. Gradients of rigidity as large as 12 kPa μm(-1) were observed. This observation suggests that physiological rigidity can be highly non-uniform at the micron-scale.

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