论文标题

细胞死亡和分裂规则的差异可以改变组织僵化和流动性

Differences in cell death and division rules can alter tissue rigidity and fluidization

论文作者

Reddy, Gudur Ashrith, Katira, Parag

论文摘要

组织机械性能,例如刚性和流动性,以及由干扰 - 不杀伤过渡(UJT)驱动的这些特性的变化,在包括癌症在内的各种生物学过程中作为健康和疾病的机械标记。但是,对这些机械性能和UJT的大多数分析都避免了这些系统中细胞死亡和分裂的影响。细胞凋亡(程序性细胞死亡)和有丝分裂(细胞分裂)可以驱动组织特性的显着变化。两者之间的平衡对于维持组织功能至关重要,在癌症进展,伤口愈合和坏死之类的情况下两者之间的失衡。在这项工作中,我们根据组织动力学硅模型中的细胞内的大小和几何形状结合了细胞死亡和分裂的特定机械敏感触发,研究了细胞死亡和分裂对组织机械性能的影响。具体而言,我们研究细胞迁移,组织对外部压力的反应,组织挤出倾向和组织内不同细胞类型的自组织,这是细胞死亡和分裂的函数以及触发这些事件的规则。我们发现,与没有这些事件的系统相比,细胞死亡和分裂事件不仅会显着改变组织力学,而且驱动这些细胞死亡和分裂事件的触发因素的选择还改变了预测的组织力学和整体系统行为。

Tissue mechanical properties such as rigidity and fluidity, and changes in these properties driven by jamming-unjamming transitions (UJT), have come under recent highlight as mechanical markers of health and disease in various biological processes including cancer. However, most analysis of these mechanical properties and UJT have sidestepped the effect of cellular death and division in these systems. Cellular apoptosis (programmed cell death) and mitosis (cell division) can drive significant changes in tissue properties. The balance between the two is crucial in maintaining tissue function, and an imbalance between the two is seen in situations such as cancer progression, wound healing and necrosis. In this work we investigate the impact of cell death and division on tissue mechanical properties, by incorporating specific mechanosensitive triggers of cell death and division based on the size and geometry of the cell within in silico models of tissue dynamics. Specifically, we look at cell migration, tissue response to external stress, tissue extrusion propensity and self-organization of different cell types within the tissue, as a function of cell death and division and the rules that trigger these events. We find that not only do cell death and division events significantly alter tissue mechanics when compared to systems without these events, but that the choice of triggers driving these cell death and division events also alter the predicted tissue mechanics and overall system behavior.

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