Custom complex 3D microtubule networks for experimentation and engineering

Custom complex 3D microtubule networks for experimentation and engineering
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用于实验和工程的定制复杂 3D 微管网络

DOI:
10.1117/2.1201608.006690
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发表时间:
2016
期刊:
SPIE Newsroom
影响因子:
--
通讯作者:
Doval, Florence
Doval, Florence
中科院分区:
--
文献类型:
--
作者:
Vershinin, Michael;Bergman, Jared;Doval, Florence

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货物物流由细胞骨架马达驱动并沿着肌动蛋白和微管丝进行,是真核细胞整体机制的重要子系统。事实上,可以毫不夸张地说,几乎活细胞中的每个过程都直接或间接地依赖于货物及时的正确路线。过去几十年来,在了解单个细丝和马达的结构和特性方面已经取得了很大进展,但对这些组件如何构成功能性细胞骨架的清晰实验模型仍然提出了许多挑战。一个主要挑战源于细胞中的微管结构形成具有非平凡结构的 3D 排列这一事实。 1, 2 现有的体外技术不提供单丝水平的控制(例如化学自组装),并且迄今为止已证明仅足以复制几种有限类型的细胞内丝结构。 3 因此,很难在受控环境中捕获微管细胞骨架和相关货物运输的复杂性,因为它需要对多个单独的微管进行动态和精确的 3D 操作。
Cargo logistics—driven by cytoskeletal motors and proceeding along actin and microtubule filaments—are an essential subsystem of the overall machinery of eukaryotic cells. Indeed, it is no stretch to say that virtually every process in a living cell depends, directly or indirectly, on proper routing of cargoes in a timely fashion. Much progress has been made in the last few decades in understanding the structure and properties of individual filaments and motors, but clean experimental modeling of how these components add up to a functional cytoskeleton still poses many challenges.One major challenge stems from the fact that microtubule structures in cells form 3D arrangements with nontrivial architectures. 1, 2 Existing in vitro techniques do not offer a single-filament level of control (eg, chemical self-assembly) and have so far proved sufficient only for reproducing a few limited types of intracellular filament structures. 3 It is thus difficult to capture the complexity of the microtubule cytoskeleton and associated cargo transport in a controlled environment, because it requires dynamic and precise 3D manipulation of multiple individual microtubules.
通过网络节点的全息捕获进行人工微管细胞骨架的构建、操作和建模
DOI: 10.1117/12.2237231
发表时间: 2016
期刊: SPIE Proceedings
影响因子: --
作者:
Mohseni, Hooman;Agahi, Massoud H.;Razeghi, Manijeh;Bergman, J.;Doval, F.;Vershinin, M.
通讯作者: Vershinin, M.
DOI: 10.3791/50481
发表时间: 2013
期刊: Journal of visualized experiments : JoVE
影响因子: --
作者:
Jacqualine Butterfield;Weili Hong;Leslie Mershon;M. Vershinin
通讯作者: M. Vershinin