共培养多细胞系统的分离:回顾与建模思考。

IF 7.2 2区 生物学 Q1 BIOPHYSICS
Ivana Pajic-Lijakovic, Raluca Eftimie, Milan Milivojevic, Stéphane P A Bordas
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引用次数: 0

摘要

由细胞集体迁移(CCM)引起的细胞分离对形态发生、组织部位的功能发育至关重要,也是癌症及其转移过程等其他疾病的一个重要方面。细胞分离的效率取决于以下两个方面的相互作用:(1)细胞信号传导和基因表达等生化过程;(2)细胞间的物理相互作用。尽管对各种共培养系统的分离进行了广泛的研究,但我们仍然不了解物理相互作用在细胞分离中的作用。这些物理相互作用的累积效应以物理参数的形式出现,如(1) 组织表面张力;(2) CCM 引起的粘弹性;(3) 多细胞系统中累积的固体应力。这些参数主要取决于细胞-细胞粘附接触状态与细胞收缩力之间的相互作用。这些物理参数对分离效率的作用将在共培养乳腺细胞球等模型系统中进行讨论,这些模型系统由两个接触的亚群组成。本综述研究旨在:(1) 总结与细胞分离相关的生物学问题、细胞集体的机械特性、细胞亚群之间生物界面的影响;(2) 从生物物理/数学角度描述之前总结的相同生物学问题。因此,总体而言,它可以说明生物系统的复杂性,而这些复杂性又可以转化为非常复杂的生物物理/数学方程。此外,通过平行介绍这两个看似不同的部分(生物学与方程),本综述旨在强调需要通过实验来估算进入复杂的生物物理/数学模型的各种参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segregation of co-cultured multicellular systems: review and modeling consideration.

Cell segregation caused by collective cell migration (CCM) is crucial for morphogenesis, functional development of tissue parts, and is an important aspect in other diseases such as cancer and its metastasis process. Efficiency of the cell segregation depends on the interplay between: (1) biochemical processes such as cell signaling and gene expression and (2) physical interactions between cells. Despite extensive research devoted to study the segregation of various co-cultured systems, we still do not understand the role of physical interactions in cell segregation. Cumulative effects of these physical interactions appear in the form of physical parameters such as: (1) tissue surface tension, (2) viscoelasticity caused by CCM, and (3) solid stress accumulated in multicellular systems. These parameters primarily depend on the interplay between the state of cell-cell adhesion contacts and cell contractility. The role of these physical parameters on the segregation efficiency is discussed on model systems such as co-cultured breast cell spheroids consisting of two subpopulations that are in contact. This review study aims to: (1) summarize biological aspects related to cell segregation, mechanical properties of cell collectives, effects along the biointerface between cell subpopulations and (2) describe from a biophysical/mathematical perspective the same biological aspects summarized before. So that overall it can illustrate the complexity of the biological systems that translate into very complex biophysical/mathematical equations. Moreover, by presenting in parallel these two seemingly different parts (biology vs. equations), this review aims to emphasize the need for experiments to estimate the variety of parameters entering the resulting complex biophysical/mathematical models.

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来源期刊
Quarterly Reviews of Biophysics
Quarterly Reviews of Biophysics 生物-生物物理
CiteScore
12.90
自引率
1.60%
发文量
16
期刊介绍: Quarterly Reviews of Biophysics covers the field of experimental and computational biophysics. Experimental biophysics span across different physics-based measurements such as optical microscopy, super-resolution imaging, electron microscopy, X-ray and neutron diffraction, spectroscopy, calorimetry, thermodynamics and their integrated uses. Computational biophysics includes theory, simulations, bioinformatics and system analysis. These biophysical methodologies are used to discover the structure, function and physiology of biological systems in varying complexities from cells, organelles, membranes, protein-nucleic acid complexes, molecular machines to molecules. The majority of reviews published are invited from authors who have made significant contributions to the field, who give critical, readable and sometimes controversial accounts of recent progress and problems in their specialty. The journal has long-standing, worldwide reputation, demonstrated by its high ranking in the ISI Science Citation Index, as a forum for general and specialized communication between biophysicists working in different areas. Thematic issues are occasionally published.
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