Modelling collective cell migration of neural crest
1Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK.
Current Opinion in Cell Biology
|April 17, 2016
Summary
Computational models help understand collective cell migration in mesenchymal cells, like neural crest cells. This research compares models to guide future studies on coordinated cell movement.
Area of Science:
- Cell Biology
- Developmental Biology
- Computational Biology
Background:
- Collective cell migration is crucial in development and disease.
- Mesenchymal cell migration is less understood than epithelial cell migration due to more independent movement.
- Computational modeling is vital for deciphering complex collective cell behaviors.
Purpose of the Study:
- To analyze computational modeling approaches for neural crest cell migration.
- To compare different models and highlight their similarities and complementary aspects.
- To propose future research directions in collective mesenchymal cell migration.
Main Methods:
- Review and comparison of existing computational models of neural crest cell migration.
- Analysis of emergent collective behaviors from individual cell movements.
- Identification of common principles and differences across various modeling strategies.
Main Results:
- Different computational models offer complementary insights into neural crest cell migration.
- Modeling reveals key factors influencing coordinated movement in mesenchymal populations.
- The study synthesizes findings from diverse modeling approaches.
Conclusions:
- Computational modeling is essential for understanding collective mesenchymal cell migration.
- Neural crest cell migration models provide a framework applicable to other mesenchymal cell types.
- Further integrated modeling efforts will advance the field of collective cell migration.
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