TY - JOUR
T1 - Elucidating the signal for contact guidance contained in aligned fibrils with a microstructural-mechanical model
AU - Bersie Larson, Lauren M
AU - Lai, Victor K.
AU - Dhume, Rohit Y.
AU - Provenzano, Paolo P.
AU - Barocas, Victor H.
AU - Tranquillo, Robert T.
N1 - Funding Information:
This work was supported by the National Institutes of Health through the grant no. U54 CA210190. Acknowledgements
Publisher Copyright:
© 2022 Royal Society Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Despite its importance in physiological processes and tissue engineering, the mechanism underlying cell contact guidance in an aligned fibrillar network has defied elucidation due to multiple interdependent signals that such a network presents to cells, namely, anisotropy of adhesion, porosity and mechanical behaviour. A microstructural-mechanical model of fibril networks was used to assess the relative magnitudes of these competing signals in networks of varied alignment strength based on idealized cylindrical pseudopods projected into the aligned and orthogonal directions and computing the anisotropy of metrics chosen for adhesion, porosity and mechanical behaviour: cylinder-fibre contact area for adhesion, persistence length of pores for porosity and total force to displace fibres from the cylindrical volume as well as network stiffness experienced upon cylinder retraction for mechanical behaviour. The signals related to mechanical anisotropy are substantially higher than adhesion and porosity anisotropy, especially at stronger network alignments, although their signal to noise (S/N) values are substantially lower. The former finding is consistent with a recent report that fibroblasts can sense fibril alignment via anisotropy of network mechanical resistance, and the model reveals this can be due to either mechanical resistance to pseudopod protrusion or retraction given their signal and S/N values are similar.
AB - Despite its importance in physiological processes and tissue engineering, the mechanism underlying cell contact guidance in an aligned fibrillar network has defied elucidation due to multiple interdependent signals that such a network presents to cells, namely, anisotropy of adhesion, porosity and mechanical behaviour. A microstructural-mechanical model of fibril networks was used to assess the relative magnitudes of these competing signals in networks of varied alignment strength based on idealized cylindrical pseudopods projected into the aligned and orthogonal directions and computing the anisotropy of metrics chosen for adhesion, porosity and mechanical behaviour: cylinder-fibre contact area for adhesion, persistence length of pores for porosity and total force to displace fibres from the cylindrical volume as well as network stiffness experienced upon cylinder retraction for mechanical behaviour. The signals related to mechanical anisotropy are substantially higher than adhesion and porosity anisotropy, especially at stronger network alignments, although their signal to noise (S/N) values are substantially lower. The former finding is consistent with a recent report that fibroblasts can sense fibril alignment via anisotropy of network mechanical resistance, and the model reveals this can be due to either mechanical resistance to pseudopod protrusion or retraction given their signal and S/N values are similar.
KW - aligned fibril networks
KW - cell-matrix interaction
KW - contact guidance
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U2 - 10.1098/rsif.2021.0951
DO - 10.1098/rsif.2021.0951
M3 - Article
C2 - 35582810
AN - SCOPUS:85130170051
SN - 1742-5689
VL - 19
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 190
M1 - 20210951
ER -