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Pattern Generation for Micropattern Traction Microscopy
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A computational bridge between traction force microscopy and tissue contraction.

Shannon M Flanary1, Seokwon Jo2, Rohit Ravichandran1

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, USA.

Journal of Applied Physics
|August 18, 2023
PubMed
Summary
This summary is machine-generated.

A new multiscale model links cellular mechanics to tissue responses in arteries. This framework helps predict vascular diseases and develop targeted therapies for smooth muscle cell dysfunction.

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Area of Science:

  • Biomedical Engineering
  • Mechanobiology
  • Computational Biology

Background:

  • Arterial wall mechanics depend on smooth muscle cell (SMC) contractility.
  • Cellular responses to stimuli can differ from tissue-level observations.
  • Understanding this scale discrepancy is crucial for disease research.

Purpose of the Study:

  • To develop a multiscale model connecting microscale SMC signaling to macroscale arterial mechanics.
  • To create a flexible framework applicable to various physiological and pathological conditions.
  • To bridge the gap between cellular and tissue-level contractility phenomena.

Main Methods:

  • A multiscale computational model integrating biochemical signaling and fiber network mechanics.
  • Analysis of microscale (cell) and macroscale (tissue) systems.
  • Application to in vitro traction force microscopy and ex vivo isometric contraction experiments.

Main Results:

  • The model predicts active contractility is independent of stretch at intermediate strain.
  • It accurately simulates both cell-scale and tissue-scale contractility.
  • The model replicates experimentally observed behaviors, including hyperglycemia-induced hypercontractility.

Conclusions:

  • The multiscale model effectively translates cell-scale mechanics to tissue-scale phenotypes.
  • This framework can leverage existing cellular data for understanding vascular diseases.
  • It offers potential for developing novel smooth muscle cell-targeting therapeutics.