Collective durotaxis along a self-generated mobile stiffness gradient in vivo

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-02-15 DOI:10.1016/j.biosystems.2024.105155
Ivana Pajic-Lijakovic, Milan Milivojevic
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Abstract

A crucial aspect of tissue self-organization during morphogenesis, wound healing, and cancer invasion is directed migration of cell collectives. The majority of in vivo directed migration has been guided by chemotaxis, whereby cells follow a chemical gradient. In certain situations, migrating cell collectives can also self-generate the stiffness gradient in the surrounding tissue, which can have a feedback effect on the directionality of the migration. The phenomenon has been observed during collective durotaxis in vivo. Along the biointerface between neighbouring tissues, heterotypic cell-cell interactions are the main cause of this self-generated stiffness gradient. The physical processes in charge of tissue self-organization along the biointerface, which are related to the interplay between cell signalling and the formation of heterotypic cell-cell adhesion contacts, are less well-developed than the biological mechanisms of the cellular interactions.

This complex phenomenon is discussed here in the model system, such as collective migration of neural crest cells between ectodermal placode and mesoderm subpopulations within Xenopus embryos by pointing to the role of the dynamics along the biointerface between adjacent cell subpopulations on the subpopulation stiffness.

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体内沿自生移动刚度梯度的集体杜罗塔斯运动
在形态发生、伤口愈合和癌症侵袭过程中,组织自组织的一个重要方面是细胞集体的定向迁移。大多数体内定向迁移都是由趋化作用引导的,即细胞跟随化学梯度迁移。在某些情况下,迁移的细胞集体也会在周围组织中自我产生硬度梯度,这可能会对迁移的方向性产生反馈作用。这种现象在体内的集体杜罗塔斯过程中也被观察到。在相邻组织之间的生物界面上,异型细胞-细胞间的相互作用是造成这种自生刚度梯度的主要原因。与细胞相互作用的生物机制相比,负责组织沿生物界面自组织的物理过程(与细胞信号和异型细胞-细胞粘附接触的形成之间的相互作用有关)还不够完善。本文将在模型系统中讨论这一复杂现象,如在章鱼胚胎中外胚层胎盘和中胚层亚群之间神经嵴细胞的集体迁移,指出相邻细胞亚群之间沿生物界面的动力学对亚群硬度的作用。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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