机械敏感通道
联轴节(管道)
细胞生物学
细胞生长
细胞外
乳腺癌
化学
癌细胞
静水压力
细胞
生物
计算机科学
生物物理学
细胞外基质
癌症
运动性
细胞内
计算生物学
生物系统
物理
人体乳房
材料科学
癌症研究
特征(语言学)
细胞信号
磁滞
纳米技术
渗透性休克
信号
增长模型
作者
Irish Senthilkumar,Jef Vangheel,Vatsal Kumar,Laoise M. McNamara,Bart Smeets,Enda Howley,Eóin McEvoy
标识
DOI:10.1073/pnas.2523159123
摘要
Mechanoresponsive cell proliferation is a feature of growing tumors, despite the suppression of many other regulatory checkpoints in cancer, but the underlying cell-scale mechanisms driving this behavior have not yet been established. In this study, we propose a biophysical model for cell growth as governed by actively controlled osmolarity, which we integrate with a discrete particle framework to simulate growth and remodeling of breast cancer spheroids. Confinement and biomechanical feedback from the extracellular environment are analyzed through a neural-network-accelerated finite element solver. Combining the framework with experiments, our model reveals that stress-dependent spheroid growth can arise from a sizing checkpoint for mitosis. Under sufficient extracellular loading, cell growth is restricted by high hydrostatic forces in competition with osmotic pressure from biomolecule synthesis, which prevents cells from surpassing a critical volume. Our model provides insight into mechanosensitive growth arrest in breast cancer, potentially serving as a computational tool for analyzing growth in a wider range of normal and malignant biological tissues.
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