Desset Sophie, Poulet Axel, Tatout Christophe
Université Clermont Auvergne, CNRS, INSERM, GReD, 63000, Clermont-Ferrand, France.
Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, OX3 0BP, UK.
Methods Mol Biol. 2018;1675:615-632. doi: 10.1007/978-1-4939-7318-7_33.
Image analysis is a classical way to study nuclear organization. While nuclear organization used to be investigated by colorimetric or fluorescent labeling of DNA or specific nuclear compartments, new methods in microscopy imaging now enable qualitative and quantitative analyses of chromatin pattern, and nuclear size and shape. Several procedures have been developed to prepare samples in order to collect 3D images for the analysis of spatial chromatin organization, but only few preserve the positional information of the cell within its tissue context. Here, we describe a whole mount tissue preparation procedure coupled to DNA staining using the PicoGreen intercalating agent suitable for image analysis of the nucleus in living and fixed tissues. 3D Image analysis is then performed using NucleusJ, an open source ImageJ plugin, which allows for quantifying variations in nuclear morphology such as nuclear volume, sphericity, elongation, and flatness as well as in heterochromatin content and position in respect to the nuclear periphery.
图像分析是研究细胞核组织的经典方法。虽然过去细胞核组织是通过对DNA或特定核区室进行比色或荧光标记来研究的,但现在显微镜成像的新方法能够对染色质模式以及细胞核的大小和形状进行定性和定量分析。已经开发了几种制备样品的程序,以便收集用于分析空间染色质组织的三维图像,但只有少数程序能保留细胞在其组织背景中的位置信息。在这里,我们描述了一种整装组织制备程序,该程序结合使用适用于活组织和固定组织中细胞核图像分析的PicoGreen嵌入剂进行DNA染色。然后使用NucleusJ(一个开源的ImageJ插件)进行三维图像分析,该插件允许量化核形态的变化,如核体积、球形度、伸长率和平整度,以及异染色质含量和相对于核周边的位置。