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利用微观成像和计算建模探测野生型和层粘连蛋白缺陷细胞核内部的可压缩性。

Probing compressibility of the nuclear interior in wild-type and lamin deficient cells using microscopic imaging and computational modeling.

机构信息

University of Heidelberg, Bioquant and IPMB, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany.

出版信息

J Biomech. 2011 Oct 13;44(15):2642-8. doi: 10.1016/j.jbiomech.2011.08.014. Epub 2011 Sep 9.

Abstract

Mechanical properties of the cell nucleus play an important role in maintaining the integrity of the genome and controlling the cellular force balance. Irregularities in these properties have been related to disruption of a variety of force-dependent processes in the cell, such as migration, division, growth or differentiation. Characterizing mechanical properties of the cell nucleus in situ and relating these parameters to cellular phenotypes remain challenging tasks, as conventional micromanipulation techniques do not allow direct probing of intracellular structures. Here, we present a framework based on light microscopic imaging and automated mechanical modeling that enables characterization of the compressibility of the nuclear interior in situ. Based entirely on optical methods, our approach does not require application of destructive or contacting techniques and it enables measurements of a significantly larger number of cells. Compressibility, in this paper represented by Poisson's ratio ν, is determined by fitting a numerical model to experimentally observed time series of microscopic images of fluorescent cell nuclei in which bleached patterns are introduced. In a proof-of-principle study, this framework was applied to estimate ν in wild type cells and cells lacking important structural proteins of the nuclear envelope (LMNA(-/-)). Based on measurements of a large number of cells, our study revealed distinctive changes in compressibility of the nuclear interior between these two cell types. Our method allows an automated, contact-free estimation of mechanical properties of intracellular structures. Combined with knockdown and overexpression screens, it paves the way towards a high-throughput measurement of intracellular mechanical properties in functional phenotyping screens.

摘要

细胞核的力学性质在维持基因组完整性和控制细胞力平衡方面起着重要作用。这些性质的不规则与细胞内各种力依赖过程的中断有关,例如迁移、分裂、生长或分化。对细胞核的力学性质进行原位表征,并将这些参数与细胞表型相关联,仍然是具有挑战性的任务,因为传统的微操作技术不允许直接探测细胞内结构。在这里,我们提出了一个基于光显微镜成像和自动力学建模的框架,该框架能够原位表征核内部的可压缩性。我们的方法完全基于光学方法,不需要应用破坏性或接触性技术,并且能够测量大量更多的细胞。在本文中,可压缩性由泊松比 ν 表示,通过将数值模型拟合到实验观察到的荧光细胞核的微观图像的时间序列来确定,其中引入了漂白图案。在原理验证研究中,该框架被应用于估计野生型细胞和缺乏核膜重要结构蛋白的细胞(LMNA(-/-))中的 ν。基于对大量细胞的测量,我们的研究揭示了这两种细胞类型之间核内部可压缩性的明显变化。我们的方法允许对细胞内结构的力学性质进行自动、无接触的估计。与基因敲低和过表达筛选相结合,它为在功能表型筛选中进行高通量测量细胞内力学性质铺平了道路。

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