空间相互作用调节瘤生长和免疫透.
Sadegh Marzban1, Sonal Srivastava2, Sharon Kartika3
1Integrated Mathematical Oncology Dept., H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL.
Research square
|June 3, 2024
概括
细胞自动机框架Lenia模拟了癌症动态,揭示了短距离相互作用如何促进生存,以及不对称的瘤免疫反应如何损害免疫力. 原蛋白模式提供免疫保护,与疾病阶段相反相关.
科学领域:
- 计算生物学 计算生物学
- 人工生命的人工生命
- 癌症研究 癌症研究
背景情况:
- 癌症进展模型传统上使用基于代理的方法与全球动态的本地规则.
- 现有的模型往往难以整合各种癌症特征,如形态发生和适应.
- 细胞自动机为复杂的生物系统建模提供了灵活的框架.
研究的目的:
- 在Lenia细胞自动机框架内实施数学癌症模型.
- 使用相互作用内核探索局部 (细胞规模) 到全球 (瘤规模) 的动态.
- 开发基于数据的癌症生长,竞争和迁移模型.
主要方法:
- 利用Lenia,一个细胞自动机框架,实现癌症模型.
- 定义了交互内核来控制密度依赖的增长动态.
- 开发了单种群增长,多种群竞争和细胞迁移/化学反应的模型.
主要成果:
- 短距离相互作用核被发现可以使瘤细胞在Allee效应下存活.
- 不对称的瘤免疫相互作用核与免疫反应减弱相关.
- 模拟的免疫-细胞外矩阵相互作用,显示原模式赋予免疫保护.
结论:
- 莱尼亚为各种癌症建模方法 (局部/全球,决定性/随机等) 提供了一个多功能平台. ) 的情况.
- 机械洞察力揭示了短期相互作用的生存优势和不对称的瘤免疫反应的缺点.
- 原蛋白形成的新出现的模式表明,它对抗癌症进展起着保护作用,与免疫覆盖相反相关.
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