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通过生物力学模拟进行基于图像的力推断。

Image-based force inference by biomechanical simulation.

作者信息

Vanslambrouck Michiel, Thiels Wim, Vangheel Jef, van Bavel Casper, Smeets Bart, Jelier Rob

机构信息

CMPG, M2S Department, KU Leuven, Heverlee, Belgium.

MeBioS, Department of Biosystems, KU Leuven, Heverlee, Belgium.

出版信息

PLoS Comput Biol. 2024 Dec 2;20(12):e1012629. doi: 10.1371/journal.pcbi.1012629. eCollection 2024 Dec.

Abstract

During morphogenesis, cells precisely generate forces that drive cell shape changes and cellular motion. These forces predominantly arise from contractility of the actomyosin cortex, allowing for cortical tension, protrusion formation, and cell division. Image-based force inference can derive such forces from microscopy images, without complicated and time-consuming experimental set-ups. However, current methods do not account for common effects, such as physical confinement and local force generation. Here we propose a force-inference method based on a biophysical model of cell shape, and assess relative cellular surface tension, adhesive tension between cells, as well as cytokinesis and protrusion formation. We applied our method on fluorescent microscopy images of the early C. elegans embryo. Predictions for cell surface tension at the 7-cell stage were validated by measurements using cortical laser ablation. Our non-invasive method facilitates the accurate tracking of force generation, and offers many new perspectives for studying morphogenesis.

摘要

在形态发生过程中,细胞精确地产生驱动细胞形状变化和细胞运动的力。这些力主要源于肌动球蛋白皮层的收缩性,从而产生皮层张力、突起形成和细胞分裂。基于图像的力推断可以从显微镜图像中得出此类力,而无需复杂且耗时的实验设置。然而,目前的方法并未考虑诸如物理限制和局部力产生等常见效应。在此,我们提出一种基于细胞形状生物物理模型的力推断方法,并评估相对细胞表面张力、细胞间的粘附张力以及胞质分裂和突起形成。我们将我们的方法应用于秀丽隐杆线虫早期胚胎的荧光显微镜图像。通过使用皮层激光消融进行测量,验证了对7细胞期细胞表面张力的预测。我们的非侵入性方法有助于准确跟踪力的产生,并为研究形态发生提供了许多新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee94/11637313/40a474d643e5/pcbi.1012629.g001.jpg

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