Department of Molecular Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
STAR Protoc. 2020 Nov 26;1(3):100191. doi: 10.1016/j.xpro.2020.100191. eCollection 2020 Dec 18.
Tissue-clearing technologies have developed rapidly in the past decade, especially for use in neuroscience research. We previously reported that CUBIC, which is one tissue-clearing method, is useful for applications in cancer research. CUBIC cancer analysis can be used to detect cancer metastasis with single-cell resolution at whole mouse body/organ level. This approach can also analyze the tumor characteristics with high-quality 3D images. Here, we describe a detailed CUBIC cancer protocol from tissue clearing, capturing 3D images and post-immunohistochemistry. For complete details on the use and execution of this protocol, please refer to Kubota et al. (2017).
在过去的十年中,组织透明化技术发展迅速,特别是在神经科学研究中得到了广泛应用。我们之前曾报道过,CUBIC 是一种组织透明化方法,在癌症研究中有很好的应用前景。CUBIC 癌症分析可用于在全鼠体/器官水平上以单细胞分辨率检测癌症转移。这种方法还可以用高质量的 3D 图像分析肿瘤特征。在这里,我们描述了一个从组织透明化、捕获 3D 图像到免疫组化后的详细 CUBIC 癌症分析方案。有关此方案使用和执行的详细信息,请参见 Kubota 等人(2017 年)。