空间异质性
胶质母细胞瘤
肿瘤异质性
病理
空间分布
细胞
免疫组织化学
遗传异质性
高分辨率
生物
表型
医学
癌症研究
遗传学
癌症
数学
地理
生态学
统计
基因
遥感
作者
Runwei Yang,Jinglin Guo,Zhiying Lin,Haimin Song,Zhanpeng Feng,Yichao Ou,Mingfeng Zhou,Yaomin Li,Guozhong Yi,Ke Li,Kaishu Li,Manlan Guo,Xiran Wang,Guanglong Huang,Zhifeng Liu,Songtao Qi,Yawei Liu
标识
DOI:10.1002/jbio.201900196
摘要
Abstract Heterogeneity is regarded as the major factor leading to the poor outcomes of glioblastoma (GBM) patients. However, conventional two‐dimensional (2D) analysis methods, such as immunohistochemistry and immunofluorescence, have limited capacity to reveal GBM spatial heterogeneity. Thus, we sought to develop an effective analysis strategy to increase the understanding of GBM spatial heterogeneity. Here, 2D and three‐dimensional (3D) analysis methods were compared for the examination of cell morphology, cell distribution and large intact structures, and both types of methods were employed to dissect GBM spatial heterogeneity. The results showed that 2D assays showed only cross‐sections of specimens but provided a full view. To visualize intact GBM specimens in 3D without sectioning, the optical tissue clearing methods CUBIC and iDISCO+ were used to clear opaque specimens so that they would become more transparent, after which the specimens were imaged with a two‐photon microscope. The 3D analysis methods showed specimens at a large spatial scale at cell‐level resolution and had overwhelming advantages in comparison to the 2D methods. Furthermore, in 3D, heterogeneity in terms of cell stemness, the microvasculature, and immune cell infiltration within GBM was comprehensively observed and analysed. Overall, we propose that 2D and 3D analysis methods should be combined to provide much greater detail to increase the understanding of GBM spatial heterogeneity.
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