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Elucidating the signal for contact guidance contained in aligned fibrils with a microstructural-mechanical model.
Bersie-Larson, Lauren M; Lai, Victor K; Dhume, Rohit Y; Provenzano, Paolo P; Barocas, Victor H; Tranquillo, Robert T.
Affiliation
  • Bersie-Larson LM; Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN 55455, USA.
  • Lai VK; Department of Chemical Engineering, University of Minnesota - Duluth, Duluth, MN, USA.
  • Dhume RY; Department of Mechanical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN 55455, USA.
  • Provenzano PP; Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN 55455, USA.
  • Barocas VH; Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN 55455, USA.
  • Tranquillo RT; Department of Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN 55455, USA.
J R Soc Interface ; 19(190): 20210951, 2022 05.
Article in En | MEDLINE | ID: mdl-35582810
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Communication / Tissue Engineering Type of study: Guideline / Prognostic_studies Language: En Journal: J R Soc Interface Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Communication / Tissue Engineering Type of study: Guideline / Prognostic_studies Language: En Journal: J R Soc Interface Year: 2022 Document type: Article Affiliation country:
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