Computational Model Exploring Characteristic Pattern Regulation in Periventricular Vessels
Abstract
:1. Introduction
2. Materials and Methods
2.1. Mice and In Vivo Experiment
2.2. Immunohistochemistry and Imaging Analysis
2.3. Numerical Simulations
3. Modeling
3.1. Concept and Rational of EC Model
- 4.
- Branch formation occurs by chance.
- 5.
- Tip cells may undergo directed vertical migration by chemotaxis;
- 6.
- Tip cells may receive repulsive guidance from other ECs.
3.2. Construction of the EC Model
4. Results
4.1. CP Vessel Pattern
4.2. IZ/SVZ Vessel Patterning
4.3. Effect of Impaired SP Function
5. Discussion
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Takigawa-Imamura, H.; Hirano, S.; Watanabe, C.; Ohtaka-Maruyama, C.; Ema, M.; Mizutani, K.-i. Computational Model Exploring Characteristic Pattern Regulation in Periventricular Vessels. Life 2022, 12, 2069. https://doi.org/10.3390/life12122069
Takigawa-Imamura H, Hirano S, Watanabe C, Ohtaka-Maruyama C, Ema M, Mizutani K-i. Computational Model Exploring Characteristic Pattern Regulation in Periventricular Vessels. Life. 2022; 12(12):2069. https://doi.org/10.3390/life12122069
Chicago/Turabian StyleTakigawa-Imamura, Hisako, Saito Hirano, Chisato Watanabe, Chiaki Ohtaka-Maruyama, Masatsugu Ema, and Ken-ichi Mizutani. 2022. "Computational Model Exploring Characteristic Pattern Regulation in Periventricular Vessels" Life 12, no. 12: 2069. https://doi.org/10.3390/life12122069