趋化性
生物信息学
分离(统计)
过程(计算)
计算机科学
运动性
生物系统
再生(生物学)
细胞生物学
生物
受体
遗传学
机器学习
基因
操作系统
作者
A. de Candia,A. Gamba,Fausto Cavalli,Antonio Coniglio,Stefano Di Talia,Federico Bussolino,Guido Serini
出处
期刊:Science's STKE
[American Association for the Advancement of Science (AAAS)]
日期:2007-03-20
卷期号:2007 (378): pl1-pl1
被引量:8
标识
DOI:10.1126/stke.3782007pl1
摘要
The ability of eukaryotic cells to navigate along spatial gradients of extracellular guidance cues is crucial for embryonic development, tissue regeneration, and cancer progression. One proposed model for chemotaxis is a phosphoinositide-based phase separation process, which takes place at the plasma membrane upon chemoattractant stimulation and triggers directional motility of eukaryotic cells. Here, we make available virtual-cell software that allows the execution and spatiotemporal analysis of in silico chemotaxis experiments, in which the user can control physical and chemical parameters as well as the number and position of chemoattractant sources.
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