使用改进的基于立方体的组织清除技术的人类结肠组织的三维可视化。

Journal of biological methods Pub Date : 2025-02-04 eCollection Date: 2025-01-01 DOI:10.14440/jbm.2025.0101
Pavel Pavlov, Andreas Kontny, Neele Wagner, Nikola Kolev, Alexander Zlatarov, Turgay Kalinov, Anton B Tonchev
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引用次数: 0

摘要

背景:结直肠癌是全球最常见的肿瘤性疾病之一,也是常规病理分析中经常关注的焦点。观察复杂的三维(3D)结构(如肿瘤内的神经)需要厚厚的组织切片,这就需要使用光学组织清理方法来实现透明。然而,在组织清除后,样本通常需要光片和双光子共聚焦显微镜等先进成像技术,而标准组织学实验室通常无法使用这些技术:我们旨在展示如何将一种成熟的组织清理方法应用于常规组织学实验室,从而实现对正常人结肠和结肠癌组织样本中神经纤维的三维可视化:我们修改了最初为小鼠全脑成像而开发的 "清晰无障碍脑/体成像鸡尾酒 "方法,并将其应用于人体结肠组织样本,样本大小约为 10 立方毫米,这是病理实验室通常处理的标准大小:结果:我们的方案结合了组织清除技术,能够可靠地用免疫荧光观察到用抗β3-微管蛋白抗体标记的结肠神经纤维。使用标准的外荧光显微镜就能观察到标记的神经纤维,通过使用开源软件 ilastik 进行简单的图像分析就能生成高质量的三维重建,无需共聚焦显微镜:结论:所提出的步骤为研究人员在正常和肿瘤转化组织环境中观察复杂的三维结构(如神经细胞和过程)提供了宝贵的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D visualization of human colon tissue using a modified CUBIC-based tissue-clearing technique.

Background: Colorectal cancer represents one of the most common neoplastic diseases worldwide, making it a frequent focus in routine pathological analyses. Visualizing complex three-dimensional (3D) structures, such as nerves within tumors, requires thick tissue sections, which necessitates the use of optical tissue-clearing methods to achieve transparency. However, following tissue clearing, samples typically require advanced imaging techniques such as light-sheet and two-photon confocal microscopy, which are usually unavailable in standard histological laboratories.

Objective: We aimed to demonstrate how a well-established tissue-clearing approach can be adapted for use in a routine histological laboratory, enabling a robust 3D visualization of nerve fibers in samples of both normal human colon and colon cancer tissues.

Methods: We modified the "clear unobstructed brain/body imaging cocktails" method, originally developed for whole-brain imaging in mice, and applied it to human colon tissue samples measuring approximately 10 mm3, a standard size typically processed in pathological laboratories.

Results: Our protocol, which integrates a tissue-clearing technique, enabled reliable immunofluorescent visualization of colonic nerve fibers labeled with anti-β3-tubulin antibodies. The labeled nerve fibers could be observed using a standard epifluorescence microscope, and high-quality 3D reconstructions were generated through a simple image analysis approach using the open-source software ilastik, which eliminates the need for confocal microscopy.

Conclusion: The proposed steps provide a valuable method for researchers to visualize complex 3D structures, such as neural cells and processes, in both normal and tumor-transformed tissue settings.

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