Mechanical cell-matrix feedback explains pairwise and collective endothelial cell behavior in vitro
René F M van Oers1, Elisabeth G Rens1, Danielle J LaValley2
1Life Sciences group, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands; Netherlands Consortium for System Biology - Netherlands Institute for Systems Biology, Amsterdam, The Netherlands.
Plos Computational Biology
|August 15, 2014
Summary
A new computational model explains endothelial cell behavior during blood vessel formation. This model accurately predicts individual cell responses, cell pair interactions, and network formation in vitro.
Area of Science:
- Biomedical Engineering
- Cell Biology
- Computational Biology
Background:
- In vitro endothelial cell cultures are crucial for studying vasculogenesis and angiogenesis.
- Endothelial cells form blood vessel-like structures in extracellular matrices.
- Current computational models incompletely explain in vitro angiogenesis mechanisms.
Purpose of the Study:
- To develop a unified computational model for endothelial cell behavior in vitro.
- To investigate the role of mechanical factors in endothelial morphogenesis.
- To bridge the gap between single-cell responses and collective behaviors.
Main Methods:
- Utilized a hybrid cellular Potts and finite element computational model.
- Incorporated rules for endothelial cell contractile forces on the extracellular matrix (ECM).
- Modeled cellular responses to ECM strains.
Main Results:
- The model accurately reproduced individual endothelial cell behavior and pairwise interactions in compliant matrices.
- The same set of rules successfully predicted vascular network formation and sprouting from spheroids.
- Demonstrated that mechanical factors alone can explain key aspects of in vitro angiogenesis.
Conclusions:
- A single set of mechanical rules can explain diverse endothelial cell behaviors in vitro.
- This model provides a more comprehensive understanding of in vitro angiogenesis.
- Future work should integrate this mechanical model with existing biochemical and chemical models.
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