由自组织肌动球蛋白纤维结合α-连环蛋白形成的近纳米牛顿力的直接测量。

IF 2.4 4区 生物学 Q4 CELL BIOLOGY
Biology of the Cell Pub Date : 2021-11-01 Epub Date: 2021-08-20 DOI:10.1111/boc.202100014
Surabhi Sonam, Clémence Vigouroux, Antoine Jégou, Guillaume Romet-Lemonne, Christophe Le Clainche, Benoit Ladoux, René Marc Mège
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引用次数: 0

摘要

背景信息:肌动蛋白细胞骨架收缩性在形态发生过程中起着关键作用,它产生的力随后传递给细胞-细胞和细胞- ecm粘附复合物。反过来,环境的机械特性被感知并传递到细胞粘附位点的细胞骨架,影响细胞迁移、分化和存活等细胞过程。肌动蛋白细胞骨架锚定到粘附位点是由连接f -肌动蛋白与跨膜细胞粘附受体的衔接蛋白(如talin或α-catenin)介导的,从而允许细胞内和细胞外隔室之间的机械偶联。因此,一个关键问题是能够测量由肌动球蛋白产生并传递给粘附复合物的力。在细胞中开发的方法和探测α-连环蛋白分子的单分子力学特性的方法允许识别α-连环蛋白,α-连环蛋白是一种f -肌动蛋白结合蛋白,与钙粘蛋白复合物结合,在钙粘蛋白的机械转导中起主要作用。然而,在细胞水平上测量的细胞间力和在单分子水平上测量的细胞间力之间建立桥梁仍然非常困难。结果:在这里,我们采用了一种中间方法,允许在无细胞条件下重建肌动球蛋白-α-连环蛋白复合物,以直接探测传递力。为此,我们将纯化的α-catenin和自发的肌动蛋白网络在G-actin和Myosin II存在下的微图案与迄今为止用于测量细胞产生的力的微力传感器阵列结合起来。结论:通过这种方法,我们发现自组织肌动球蛋白束结合在微米级α-连环蛋白贴片上可以施加近纳米牛顿的力。意义:我们的研究结果为未来分子/细胞机械转导和机械传感的研究铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direct measurement of near-nano-Newton forces developed by self-organizing actomyosin fibers bound α-catenin.

Background information: Actin cytoskeleton contractility plays a critical role in morphogenetic processes by generating forces that are then transmitted to cell-cell and cell-ECM adhesion complexes. In turn, mechanical properties of the environment are sensed and transmitted to the cytoskeleton at cell adhesion sites, influencing cellular processes such as cell migration, differentiation and survival. Anchoring of the actomyosin cytoskeleton to adhesion sites is mediated by adaptor proteins such as talin or α-catenin that link F-actin to transmembrane cell adhesion receptors, thereby allowing mechanical coupling between the intracellular and extracellular compartments. Thus, a key issue is to be able to measure the forces generated by actomyosin and transmitted to the adhesion complexes. Approaches developed in cells and those probing single molecule mechanical properties of α-catenin molecules allowed to identify α-catenin, an F-actin binding protein which binds to the cadherin complexes as a major player in cadherin-based mechanotransduction. However, it is still very difficult to bridge intercellular forces measured at cellular levels and those measured at the single-molecule level.

Results: Here, we applied an intermediate approach allowing reconstruction of the actomyosin-α-catenin complex in acellular conditions to probe directly the transmitted forces. For this, we combined micropatterning of purified α-catenin and spontaneous actomyosin network assembly in the presence of G-actin and Myosin II with microforce sensor arrays used so far to measure cell-generated forces.

Conclusions: Using this method, we show that self-organizing actomyosin bundles bound to micrometric α-catenin patches can apply near-nano-Newton forces.

Significance: Our results pave the way for future studies on molecular/cellular mechanotransduction and mechanosensing.

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来源期刊
Biology of the Cell
Biology of the Cell 生物-细胞生物学
CiteScore
5.30
自引率
0.00%
发文量
53
审稿时长
>12 weeks
期刊介绍: The journal publishes original research articles and reviews on all aspects of cellular, molecular and structural biology, developmental biology, cell physiology and evolution. It will publish articles or reviews contributing to the understanding of the elementary biochemical and biophysical principles of live matter organization from the molecular, cellular and tissues scales and organisms. This includes contributions directed towards understanding biochemical and biophysical mechanisms, structure-function relationships with respect to basic cell and tissue functions, development, development/evolution relationship, morphogenesis, stem cell biology, cell biology of disease, plant cell biology, as well as contributions directed toward understanding integrated processes at the organelles, cell and tissue levels. Contributions using approaches such as high resolution imaging, live imaging, quantitative cell biology and integrated biology; as well as those using innovative genetic and epigenetic technologies, ex-vivo tissue engineering, cellular, tissue and integrated functional analysis, and quantitative biology and modeling to demonstrate original biological principles are encouraged.
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