Mechanical control of cell proliferation patterns in growing epithelial monolayers

Area of Science:

• Computational Biology
• Developmental Biology
• Biophysics

Background:

• Cell proliferation is vital for tissue homeostasis and development.
• Control mechanisms for cell proliferation in dense tissues remain unclear.
• Understanding these mechanisms is crucial for tissue engineering and disease research.

Purpose of the Study:

• To develop a computational framework predicting cell proliferation patterns in growing epithelial tissues.
• To link single-cell behaviors and interactions to tissue-level growth dynamics.
• To investigate the interplay between cell density, tissue mechanics, and proliferation.

Main Methods:

• Developed a computational model with probabilistic rules for cell growth, division, and elimination.
• Incorporated feedback mechanisms between cell density, apoptosis, and tissue mechanics.
• Calibrated model parameters using experimental data from epithelial monolayers.
• Simulated tissue confinement effects on cell size and proliferation.

Main Results:

• High cell density suppresses growth and enhances apoptosis.
• Mechanical feedback drives increased proliferation at tissue boundaries and arrested growth in the bulk.
• Cellular elasticity and contact inhibition regulate proliferation patterns.
• Cell size thresholds and tissue pressure significantly impact tissue growth rate and homeostasis.

Conclusions:

• Computational modeling provides insights into complex tissue growth dynamics.
• Cell mechanical properties critically influence spatiotemporal cell proliferation patterns.
• The model successfully recapitulates experimental observations in epithelial tissues.