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首页> 外文期刊>International journal of molecular imaging >Molecular Image Analysis: Quantitative Description and Classification of the Nuclear Lamina in Human Mesenchymal Stem Cells
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Molecular Image Analysis: Quantitative Description and Classification of the Nuclear Lamina in Human Mesenchymal Stem Cells

机译：分子图像分析：人间充质干细胞中核层的定量描述和分类

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摘要

The nuclear lamina is an intermediate filament network that provides a structural framework for the cell nucleus. Changes in lamina structure are found during changes in cell fate such as cell division or cell death and are associated with human diseases. An unbiased method that quantifies changes in lamina shape can provide information on cells undergoing changes in cellular functions. We have developed an image processing methodology that finds and quantifies the 3D structure of the nuclear lamina. We show that measurements on such images can be used for cell classification and provide information concerning protein spatial localization in this structure. To demonstrate the efficacy of this method, we compared the lamina of unmanipulated human mesenchymal stem cells (hMSCs) at passage 4 to cells activated for apoptosis. A statistically significant classification was found between the two populations.
机译：核层是一个中间的细丝网络，为细胞核提供了结构框架。在诸如细胞分裂或细胞死亡之类的细胞命运变化期间发现层状结构的变化，并且与人类疾病有关。量化叶片形状变化的无偏方法可以提供有关细胞功能发生变化的细胞的信息。我们已经开发出一种图像处理方法，可以发现并量化核层的3D结构。我们表明对此类图像的测量可用于细胞分类，并提供有关此结构中蛋白质空间定位的信息。为了证明该方法的有效性，我们将第4代未操纵的人间充质干细胞（hMSCs）的层板与激活的细胞凋亡进行了比较。在两个人群之间发现了具有统计学意义的分类。

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