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Published on: June 6, 2020
Mechanical Heterogeneity in Tissues Promotes Rigidity and Controls Cellular Invasion
Xinzhi Li1, Amit Das1, Dapeng Bi1
1Department of Physics, Northeastern University, Boston, Massachusetts 02115, USA.
Introducing mechanical heterogeneity in epithelial tissues enhances rigidity and defines distinct solid states. This rigidity onset is separate from cell contact percolation, impacting tumor invasion dynamics.
Area of Science:
- Biophysics
- Materials Science
- Computational Biology
Background:
- Epithelial tissues exhibit complex mechanical properties influenced by individual cell mechanics.
- Understanding how cell-level heterogeneity impacts tissue-scale behavior is crucial for developmental biology and disease modeling.
Purpose of the Study:
- To investigate the role of cell-level mechanical heterogeneity in epithelial tissue rigidity.
- To determine the relationship between heterogeneity, tissue mechanical states (fluid vs. solid), and tumor invasion.
Main Methods:
- Utilized a vertex-based computational model to simulate epithelial tissues.
- Introduced heterogeneity in cell shape index (p0) to tune single-cell stiffness.
- Analyzed shear modulus, scaling laws, and identified critical thresholds for rigidity.
Main Results:
- Mechanical heterogeneity consistently increases epithelial layer rigidity by enhancing shear modulus.
- A universal scaling variable (fr) and threshold (fr*) were identified, separating fluid from solid tissue states.
- Rigidity onset occurs independently and below the contact percolation threshold, revealing distinct solid states.
- Increased tissue rigidity impedes tumor invasion, though invasion is possible in intermediate heterogeneous states with intermittent dynamics.
Conclusions:
- Cell-level mechanical heterogeneity is a key determinant of epithelial tissue rigidity and mechanical phase transitions.
- The findings separate rigidity and percolation phenomena, offering new insights into solid-like behaviors in biological tissues.
- Tissue mechanical properties influenced by heterogeneity significantly impact tumor invasion dynamics, suggesting potential therapeutic targets.
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