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微管网络的主动收缩

Active contraction of microtubule networks.

作者信息

Foster Peter J, Fürthauer Sebastian, Shelley Michael J, Needleman Daniel J

机构信息

John A. Paulson School of Engineering and Applied Sciences, FAS Center for Systems Biology, Harvard University, Cambridge, United States.

Courant Institute of Mathematical Science, New York University, New York, United States.

出版信息

Elife. 2015 Dec 23;4:e10837. doi: 10.7554/eLife.10837.

Abstract

Many cellular processes are driven by cytoskeletal assemblies. It remains unclear how cytoskeletal filaments and motor proteins organize into cellular scale structures and how molecular properties of cytoskeletal components affect the large-scale behaviors of these systems. Here, we investigate the self-organization of stabilized microtubules in Xenopus oocyte extracts and find that they can form macroscopic networks that spontaneously contract. We propose that these contractions are driven by the clustering of microtubule minus ends by dynein. Based on this idea, we construct an active fluid theory of network contractions, which predicts a dependence of the timescale of contraction on initial network geometry, a development of density inhomogeneities during contraction, a constant final network density, and a strong influence of dynein inhibition on the rate of contraction, all in quantitative agreement with experiments. These results demonstrate that the motor-driven clustering of filament ends is a generic mechanism leading to contraction.

摘要

许多细胞过程是由细胞骨架组装驱动的。目前尚不清楚细胞骨架细丝和运动蛋白如何组织成细胞尺度的结构,以及细胞骨架成分的分子特性如何影响这些系统的大规模行为。在这里,我们研究了非洲爪蟾卵母细胞提取物中稳定微管的自组织现象,发现它们可以形成自发收缩的宏观网络。我们提出,这些收缩是由动力蛋白使微管负端聚集所驱动的。基于这一想法,我们构建了一个网络收缩的活性流体理论,该理论预测收缩时间尺度对初始网络几何形状的依赖性、收缩过程中密度不均匀性的发展、最终网络密度的恒定以及动力蛋白抑制对收缩速率的强烈影响,所有这些都与实验定量一致。这些结果表明,细丝末端由运动蛋白驱动的聚集是导致收缩的一种普遍机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a4d/4764591/05cdd55f28cd/elife-10837-fig1.jpg

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