论文标题

由于细胞弹性的时间波动,细胞集体的机械异质性增强了

Enhanced mechanical heterogeneity of cell collectives due to temporal fluctuations in cell elasticity

论文作者

Zills, Garrett, Datta, Trinanjan, Malmi-Kakkada, Abdul N

论文摘要

细胞是动态系统,其特征是生物物理特性(例如刚度和收缩力)的时间变化。最近的研究表明,肌动蛋白丝进入细胞皮质的募集和释放 - 细胞膜下方的蛋白质网络 - 导致细胞在分裂之前僵硬,然后立即软化。在三维(3D)细胞集体中,尚不清楚单细胞尺度分裂过程中的刚度变化是否会在多细胞尺度上控制空间结构和动力学。这是一个重要的问题,需要理解,因为细胞刚度变化在组织空间组织和癌症进展中起重要作用。使用最小的3D模型,该模型结合了细胞出生,死亡以及细胞对细胞弹性和粘合剂的相互作用,我们研究了机械异质性的影响 - 组成肿瘤细胞集合的单个细胞刚度变化对肿瘤空间组织和细胞动力学的影响。我们发现,由球形核心组成的球体核心的特征是由僵硬的细胞和柔软的细胞组成,在密集的3D细胞集体中出现,这可能是多细胞肿瘤生长的一般特征。我们表明,增强的空间机械异质性可以增强单细胞动力学和由细胞弹性波动驱动的体积肿瘤生长。我们的结果可能对理解单细胞刚度的时空变化有重要意义。

Cells are dynamic systems characterized by temporal variations in biophysical properties such as stiffness and contractility. Recent studies show that the recruitment and release of actin filaments into and out of the cell cortex - a network of proteins underneath the cell membrane - leads to cell stiffening prior to division and softening immediately afterward. In three-dimensional (3D) cell collectives, it is unclear whether the stiffness change during division at the single-cell scale controls the spatial structure and dynamics at the multicellular scale. This is an important question to understand as cell stiffness variations play an important role in tissue spatial organization and cancer progression. Using a minimal 3D model incorporating cell birth, death, and cell-to-cell elastic and adhesive interactions, we investigate the effect of mechanical heterogeneity - variations in individual cell stiffnesses that make up the tumor cell collective - on tumor spatial organization and cell dynamics. We discover that spatial mechanical heterogeneity characterized by a spheroid core composed of stiffer cells and softer cells in the periphery emerge within dense 3D cell collectives, which may be a general feature of multicellular tumor growth. We show that heightened spatial mechanical heterogeneity enhances single-cell dynamics and volumetric tumor growth driven by fluctuations in cell elasticity. Our results could have important implications for understanding how spatiotemporal variations in single-cell stiffness determine tumor growth and spread.

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