Righolt Christiaan H, Raz Vered, Vermolen Bart J, Dirks Roeland W, Tanke Hans J, Young Ian T
Department of Imaging Science & Technology, Delft University of Technology, Lorentzweg 1, 2628 CJ Delft, The Netherlands.
Int J Mol Imaging. 2011;2011:723283. doi: 10.1155/2011/723283. Epub 2010 Jul 20.
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.
核纤层是一种中间丝网络，为细胞核提供结构框架。在细胞命运变化（如细胞分裂或细胞死亡）过程中会发现核纤层结构的变化，且这些变化与人类疾病相关。一种能够量化核纤层形状变化的无偏方法可以提供有关细胞功能发生变化的信息。我们开发了一种图像处理方法，用于发现并量化核纤层的三维结构。我们表明，对这些图像的测量可用于细胞分类，并提供有关该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代未处理的人间充质干细胞（hMSC）的核纤层与激活后发生凋亡的细胞进行了比较。在这两个群体之间发现了具有统计学意义的分类。
