Computational Model Exploring Characteristic Pattern Regulation in Periventricular Vessels.
Computational Model Exploring Characteristic Pattern Regulation in Periventricular Vessels.
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DOI:
10.3390/life12122069
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发表时间:
2022-12-09
期刊:
影响因子:
3.2
通讯作者:
Mizutani, Ken-ichi
中科院分区:
文献类型:
--
作者:
Takigawa-Imamura, Hisako;Hirano, Saito;Watanabe, Chisato;Ohtaka-Maruyama, Chiaki;Ema, Masatsugu;Mizutani, Ken-ichi
The developing neocortical vasculature exhibits a distinctive pattern in each layer. In murine embryos, vessels in the cortical plate (CP) are vertically oriented, whereas those in the intermediate zone (IZ) and the subventricular zone (SVZ) form a honeycomb structure. The formation of tissue-specific vessels suggests that the behavior of endothelial cells is under a specific regulatory regime in each layer, although the mechanisms involved remain unknown. In the present study, we aimed to explore the conditions required to form these vessel patterns by conducting simulations using a computational model. We developed a novel model framework describing the collective migration of endothelial cells to represent the angiogenic process and performed a simulation using two-dimensional approximation. The attractive and repulsive guidance of tip cells was incorporated into the model based on the function and distribution of guidance molecules such as VEGF and Unc ligands. It is shown that an appropriate combination of guidance effects reproduces both the parallel straight pattern in the CP and meshwork patterns in the IZ/SVZ. Our model demonstrated how the guidance of the tip cell causes a variety of vessel patterns and predicted how tissue-specific vascular formation was regulated in the early development of neocortical vessels.
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DOI:
10.1038/nrm3176
发表时间:
2011-08-23
期刊:
Nature reviews. Molecular cell biology
影响因子:
--
作者:
通讯作者:
--
影响因子:
5.4
作者:
Blanco, Raquel;Gerhardt, Holger
通讯作者:
Gerhardt, Holger
影响因子:
4.6
作者:
Nesmith, Jessica E.;Chappell, John C.;Bautch, Victoria L.
通讯作者:
Bautch, Victoria L.
影响因子:
1.7
作者:
Merks, RMH;Glazier, JA
通讯作者:
Glazier, JA
影响因子:
1.6
作者:
Claro V;Ferro A
通讯作者:
Ferro A