通过连续模型和贝叶斯推理量化组织生长,形状和碰撞
Carles Falcó1, Daniel J Cohen2,3, José A Carrillo1
1Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK.
Journal of the Royal Society, Interface
|July 19, 2023
概括
这项研究模拟了上皮组织的自我组装,发现人群压力,而不是随机运动,可以准确地预测组织工程应用的多组织相互作用和碰撞.
科学领域:
- 发展生物学 发展生物学
- 生物物理学的生物物理.
- 计算生物学 计算生物学
背景情况:
- 生物系统涉及跨尺度的复杂相互作用.
- 了解组织自我组装对于组织工程至关重要.
研究的目的:
- 量化描述多个上皮层的自我组装.
- 为了比较组织生长和碰撞动态的连续模型.
主要方法:
- 利用实验数据,数学建模和贝叶斯参数推理.
- 采用了两个连续模型:随机细胞运动和人口压力梯度.
- 校准模型以复制单个组织扩张特征.
主要成果:
- 这两种模型都准确地模拟了单个组织扩张.
- 随机运动模型在多组织相互作用中显示了不现实的行为.
- 种群压力模型更好地匹配相互作用组织的实验数据.
结论:
- 人口压力模型更适合预测多组织动态.
- 组织形状和压力显著影响多组织碰撞.
- 这种方法有助于设计组织复合材料和推进组织工程.
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