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Diffuso-kinetic membrane budding dynamics.弥漫型动力学膜泡形成动态。
Soft Matter. 2020 Dec 28;16(48):10889-10899. doi: 10.1039/d0sm01028f. Epub 2020 Oct 30.
2
Scaling relationships for the elastic moduli and viscosity of mixed lipid membranes.混合脂质膜弹性模量和黏度的标度关系。
Proc Natl Acad Sci U S A. 2020 Sep 22;117(38):23365-23373. doi: 10.1073/pnas.2008789117. Epub 2020 Sep 3.
3
On Calculating the Bending Modulus of Lipid Bilayer Membranes from Buckling Simulations.通过屈曲模拟计算脂质双分子层膜的弯曲模量
J Phys Chem B. 2020 Jul 23;124(29):6299-6311. doi: 10.1021/acs.jpcb.0c04253. Epub 2020 Jul 13.
4
Pay attention to membrane tension: Mechanobiology of the cell surface.注意膜张力:细胞表面的力学生物学。
Curr Opin Cell Biol. 2020 Oct;66:11-18. doi: 10.1016/j.ceb.2020.04.001. Epub 2020 May 13.
5
The protein architecture of the endocytic coat analyzed by FRET microscopy.通过荧光共振能量转移显微镜分析胞吞作用外套的蛋白质结构。
Mol Syst Biol. 2020 May;16(5):e9009. doi: 10.15252/msb.20199009.
6
3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries.使用 GAMer 2 进行 3D 网格处理,以在逼真的细胞几何形状中实现反应扩散模拟。
PLoS Comput Biol. 2020 Apr 6;16(4):e1007756. doi: 10.1371/journal.pcbi.1007756. eCollection 2020 Apr.
7
Modeling membrane nanotube morphology: the role of heterogeneity in composition and material properties.建模细胞膜纳米管形态:组成和材料性质异质性的作用。
Sci Rep. 2020 Feb 13;10(1):2527. doi: 10.1038/s41598-020-59221-x.
8
Principles of self-organization and load adaptation by the actin cytoskeleton during clathrin-mediated endocytosis.网格蛋白介导的胞吞作用过程中肌动蛋白细胞骨架的自组织和负载适应原理。
Elife. 2020 Jan 17;9:e49840. doi: 10.7554/eLife.49840.
9
Computational Modeling of Realistic Cell Membranes.真实细胞膜的计算建模。
Chem Rev. 2019 May 8;119(9):6184-6226. doi: 10.1021/acs.chemrev.8b00460. Epub 2019 Jan 9.
10
Cell Membranes Resist Flow.细胞膜阻碍流动。
Cell. 2018 Dec 13;175(7):1769-1779.e13. doi: 10.1016/j.cell.2018.09.054. Epub 2018 Nov 1.

膜泡形成模型的价值。

Value of models for membrane budding.

机构信息

Department of Mechanical and Aerospace Engineering, University of California San Diego Jacobs School of Engineering, 9500 Gilman Drive #0411, La Jolla, CA, 92093, USA.

Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94720, USA.

出版信息

Curr Opin Cell Biol. 2021 Aug;71:38-45. doi: 10.1016/j.ceb.2021.01.011. Epub 2021 Mar 8.

DOI:10.1016/j.ceb.2021.01.011
PMID:33706232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8328869/
Abstract

The budding of membranes and curvature generation is common to many forms of trafficking in cells. Clathrin-mediated endocytosis, as a prototypical example of trafficking, has been studied in great detail using a variety of experimental systems and methods. Recently, advances in experimental methods have led to great strides in insights on the molecular mechanisms and the spatiotemporal dynamics of the protein machinery associated with membrane curvature generation. These advances have been ably supported by computational models, which have given us insights into the underlying mechanical principles of clathrin-mediated endocytosis. On the other hand, targeted experimental perturbation of membranes has lagged behind that of proteins in cells. In this area, modeling is especially critical to interpret experimental measurements in a mechanistic context. Here, we discuss the contributions made by these models to our understanding of endocytosis and identify opportunities to strengthen the connections between models and experiments.

摘要

膜的出芽和曲率生成在细胞内的许多运输形式中都很常见。网格蛋白介导的内吞作用作为运输的典型范例,已经使用各种实验系统和方法进行了详细研究。最近,实验方法的进步使得我们对与膜曲率生成相关的蛋白质机制的分子机制和时空动力学有了很大的了解。这些进展得到了计算模型的有力支持,这些模型使我们深入了解网格蛋白介导的内吞作用的潜在机械原理。另一方面,与细胞内的蛋白质相比,针对膜的靶向实验干扰落后了。在这一领域,建模对于在机械背景下解释实验测量结果尤其重要。在这里,我们讨论了这些模型对我们对内吞作用的理解的贡献,并确定了加强模型与实验之间联系的机会。