Dresden 2026 – scientific programme

Parts | Days | Selection | Search | Updates | Downloads | Help

BP: Fachverband Biologische Physik

BP 14: Poster Session II

BP 14.10: Poster

Tuesday, March 10, 2026, 18:00–21:00, P2

Modeling the aging dynamics of confluent endothelial cells — •Anselm Hohlstamm, Andreas Deussen, Stephan Speier, and Peter Dieterich — Institut für Physiologie, TU Dresden

Coordinated movements of endothelial cells are essential for maintaining the barrier function of blood vessels while adapting to disturbances. Understanding the underlying dynamics of these movements can provide valuable insights into the complex biological processes and help to detect changes under pathophysiological conditions. Therefore, we cultured human umbilical vein endothelial cells and stained their nuclei to enable cell tracking. We obtained several tens of thousands of cell paths with durations of up to 48 hours (dt=10 min). Bayesian inference was applied to estimate model parameters and probabilities. Our analysis revealed an age-dependent reduction of mean cell velocities, with cells never coming to a complete standstill. Furthermore, the velocity autocorrelation function indicated correlated movement patterns that persist for approximately 1-2 hours and may be linked to the movements of neighboring cells. The active motion is further influenced by strong repulsive cell-cell interactions, which become particularly relevant shortly after cell division. By combining elements of generalized stochastic processes and cell-cell-interactions, we constructed models that integrate these characteristics and generate collective dynamics in simulations similar to those observed in experiments. In summary, our study provides a comprehensive characterization of endothelial cell movement dynamics and develops a stochastic model that can be used for future simulations and predictions.

Keywords: endothelium; cell migration; Bayesian inference