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本文引用的文献

1
Quantifying dissipation in actomyosin networks.定量测定肌动球蛋白网络中的耗散
Interface Focus. 2019 Jun 6;9(3):20180078. doi: 10.1098/rsfs.2018.0078. Epub 2019 Apr 19.
2
Nonequilibrium phase diagrams for actomyosin networks.肌动球蛋白网络的非平衡相图。
Soft Matter. 2018 Sep 26;14(37):7740-7747. doi: 10.1039/c8sm00741a.
3
Coarse-grained simulations of actomyosin rings point to a nodeless model involving both unipolar and bipolar myosins.粗粒化模拟的肌球蛋白环指向一种无节模型,涉及单极和双极肌球蛋白。
Mol Biol Cell. 2018 Jun 1;29(11):1318-1331. doi: 10.1091/mbc.E17-12-0736. Epub 2018 Apr 10.
4
Cross-linkers both drive and brake cytoskeletal remodeling and furrowing in cytokinesis.交联剂既驱动又抑制细胞分裂过程中的细胞骨架重塑和凹陷。
Mol Biol Cell. 2018 Mar 1;29(5):622-631. doi: 10.1091/mbc.E17-06-0392. Epub 2017 Dec 27.
5
Mechanoregulated inhibition of formin facilitates contractile actomyosin ring assembly.肌动蛋白调节蛋白对formin的抑制作用促进收缩性肌动球蛋白环的组装。
Nat Commun. 2017 Sep 26;8(1):703. doi: 10.1038/s41467-017-00445-3.
6
A Versatile Framework for Simulating the Dynamic Mechanical Structure of Cytoskeletal Networks.一种用于模拟细胞骨架网络动态力学结构的通用框架。
Biophys J. 2017 Jul 25;113(2):448-460. doi: 10.1016/j.bpj.2017.06.003.
7
Competition between Tropomyosin, Fimbrin, and ADF/Cofilin drives their sorting to distinct actin filament networks.原肌球蛋白、丝束蛋白和ADF/丝切蛋白之间的竞争促使它们分选到不同的肌动蛋白丝网络中。
Elife. 2017 Mar 10;6:e23152. doi: 10.7554/eLife.23152.
8
Design principles for nonequilibrium self-assembly.非平衡自组装的设计原则。
Proc Natl Acad Sci U S A. 2016 Dec 13;113(50):14231-14236. doi: 10.1073/pnas.1609983113. Epub 2016 Nov 22.
9
Fascin- and α-Actinin-Bundled Networks Contain Intrinsic Structural Features that Drive Protein Sorting.肌动蛋白结合蛋白和α-辅肌动蛋白束状网络包含驱动蛋白质分选的内在结构特征。
Curr Biol. 2016 Oct 24;26(20):2697-2706. doi: 10.1016/j.cub.2016.07.080. Epub 2016 Sep 22.
10
Internetwork competition for monomers governs actin cytoskeleton organization.单体的网络间竞争控制着肌动蛋白细胞骨架的组织。
Nat Rev Mol Cell Biol. 2016 Dec;17(12):799-810. doi: 10.1038/nrm.2016.106. Epub 2016 Sep 14.

力学和动力学因素驱动 F-肌动蛋白交联蛋白在束上的分拣。

Mechanical and kinetic factors drive sorting of F-actin cross-linkers on bundles.

机构信息

Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60201.

Department of Physics, University of Chicago, Chicago, IL 60637.

出版信息

Proc Natl Acad Sci U S A. 2019 Aug 13;116(33):16192-16197. doi: 10.1073/pnas.1820814116. Epub 2019 Jul 25.

DOI:10.1073/pnas.1820814116
PMID:31346091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6697872/
Abstract

In cells, actin-binding proteins (ABPs) sort to different regions to establish F-actin networks with diverse functions, including filopodia used for cell migration and contractile rings required for cell division. Recent experimental work uncovered a competition-based mechanism that may facilitate spatial localization of ABPs: binding of a short cross-linker protein to 2 actin filaments promotes the binding of other short cross-linkers and inhibits the binding of longer cross-linkers (and vice versa). We hypothesize this sorting arises because F-actin is semiflexible and cannot bend over short distances. We develop a mathematical theory and lattice models encompassing the most important physical parameters for this process and use coarse-grained simulations with explicit cross-linkers to characterize and test our predictions. Our theory and data predict an explicit dependence of cross-linker separation on bundle polymerization rate. We perform experiments that confirm this dependence, but with an unexpected cross-over in dominance of one cross-linker at high growth rates to the other at slow growth rates, and we investigate the origin of this cross-over with further simulations. The nonequilibrium mechanism that we describe can allow cells to organize molecular material to drive biological processes, and our results can guide the choice and design of cross-linkers for engineered protein-based materials.

摘要

在细胞中,肌动蛋白结合蛋白 (ABP) 会分拣到不同的区域,以建立具有不同功能的 F-肌动蛋白网络,包括用于细胞迁移的丝状伪足和用于细胞分裂的收缩环。最近的实验工作揭示了一种基于竞争的机制,可能有助于 ABP 的空间定位:短交联蛋白与 2 条肌动蛋白丝的结合促进了其他短交联蛋白的结合,并抑制了更长交联蛋白的结合(反之亦然)。我们假设这种分拣是因为 F-肌动蛋白具有半柔性,不能在短距离内弯曲。我们开发了一个数学理论和包含该过程最重要物理参数的晶格模型,并使用带有显式交联剂的粗粒化模拟来对我们的预测进行表征和测试。我们的理论和数据预测了交联剂分离与束聚合速率之间的明确依赖性。我们进行了实验,证实了这种依赖性,但在高生长速率下,一种交联剂的主导作用会出乎意料地向另一种交联剂转变,而在低生长速率下则会转变回来,我们还通过进一步的模拟研究了这种转变的起源。我们所描述的非平衡机制可以使细胞组织分子物质来驱动生物过程,我们的结果可以指导基于蛋白质的工程设计交联剂的选择和设计。