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迭代免疫染色结合扩展显微镜和图像处理揭示核纤层的纳米级网络组织。

Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina.

机构信息

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.

Tampere Microscopy Center (TMC), Tampere University, 33100 Tampere, Finland.

出版信息

Mol Biol Cell. 2023 Aug 1;34(9):br13. doi: 10.1091/mbc.E22-09-0448. Epub 2023 Jun 21.

Abstract

Investigation of nuclear lamina architecture relies on superresolved microscopy. However, epitope accessibility, labeling density, and detection precision of individual molecules pose challenges within the molecularly crowded nucleus. We developed iterative indirect immunofluorescence (IT-IF) staining approach combined with expansion microscopy (ExM) and structured illumination microscopy to improve superresolution microscopy of subnuclear nanostructures like lamins. We prove that ExM is applicable in analyzing highly compacted nuclear multiprotein complexes such as viral capsids and provide technical improvements to ExM method including three-dimensional-printed gel casting equipment. We show that in comparison with conventional immunostaining, IT-IF results in a higher signal-to-background ratio and a mean fluorescence intensity by improving the labeling density. Moreover, we present a signal-processing pipeline for noise estimation, denoising, and deblurring to aid in quantitative image analyses and provide this platform for the microscopy imaging community. Finally, we show the potential of signal-resolved IT-IF in quantitative superresolution ExM imaging of nuclear lamina and reveal nanoscopic details of the lamin network organization-a prerequisite for studying intranuclear structural coregulation of cell function and fate.

摘要

核层板结构的研究依赖于超分辨率显微镜。然而,在分子拥挤的细胞核内,表位的可及性、单个分子的标记密度和检测精度都带来了挑战。我们开发了一种迭代间接免疫荧光(IT-IF)染色方法,结合扩展显微镜(ExM)和结构光照明显微镜,以提高核亚结构(如核层蛋白)的超分辨率显微镜分析。我们证明了 ExM 适用于分析高度紧凑的核多蛋白复合物,如病毒衣壳,并提供了 ExM 方法的技术改进,包括三维打印凝胶铸造设备。与传统免疫染色相比,IT-IF 通过提高标记密度,实现了更高的信号与背景比和平均荧光强度。此外,我们提出了一个用于噪声估计、去噪和反模糊的信号处理管道,以辅助定量图像分析,并为显微镜成像社区提供了这个平台。最后,我们展示了信号分辨 IT-IF 在核层板定量超分辨率 ExM 成像中的潜力,并揭示了核层蛋白网络组织的纳米细节——这是研究细胞功能和命运的核内结构核心调控的前提。

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