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Tools for computational analysis of moving boundary problems in cellular mechanobiology
Kathleen T DiNapoli1, Douglas N Robinson1, Pablo A Iglesias1,2
1Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Wiley Interdisciplinary Reviews. Systems Biology and Medicine
|December 11, 2020
Summary
Computational models simulate cell shape regulation, crucial for organism health and disease. Understanding these complex biomechanical and biochemical processes aids in developing new cancer and physiology insights.
Area of Science:
- Computational biology
- Biophysics
- Cellular physiology
Background:
- Cell shape regulation is fundamental to organism health.
- Dysfunctional cell shape control is linked to disease.
- Understanding cellular mechanosensation and response is vital for homeostasis.
Purpose of the Study:
- To highlight the importance of computational models in understanding cell shape regulation.
- To discuss the role of feedback mechanisms in determining cell shape.
- To review computational techniques for simulating cell shape dynamics.
Main Methods:
- Utilizing computational models based on biochemical and biomechanical principles.
- Employing experimentally measured parameters for simulations.
- Applying special computational techniques for moving boundary problems.
Main Results:
- Models reveal feedback loops where cell shape influences regulatory signals.
- Simulations analyze forces and mechanical properties governing cell shape.
- Various approaches simulate cell motility, division, and engulfment.
Conclusions:
- Computational models are essential tools for studying complex cell shape dynamics.
- Improved accessibility of these techniques can foster interdisciplinary research.
- This work provides insights into biological processes relevant to human health, including cancer.
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