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二维和三维分析方法的结合有助于理解胶质母细胞瘤的空间异质性。

The combination of two-dimensional and three-dimensional analysis methods contributes to the understanding of glioblastoma spatial heterogeneity.

机构信息

Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.

The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.

出版信息

J Biophotonics. 2020 Feb;13(2):e201900196. doi: 10.1002/jbio.201900196. Epub 2019 Dec 4.

DOI:10.1002/jbio.201900196
PMID:31743584
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.

摘要

异质性被认为是导致胶质母细胞瘤(GBM)患者预后不良的主要因素。然而,传统的二维(2D)分析方法,如免疫组织化学和免疫荧光,在揭示 GBM 的空间异质性方面能力有限。因此,我们试图开发一种有效的分析策略来增加对 GBM 空间异质性的理解。在这里,比较了 2D 和三维(3D)分析方法来检查细胞形态、细胞分布和大的完整结构,并且这两种方法都被用于剖析 GBM 的空间异质性。结果表明,2D 分析仅显示标本的横截面,但提供了全貌。为了在不切片的情况下在 3D 中可视化完整的 GBM 标本,使用光学组织透明化方法 CUBIC 和 iDISCO+来透明化不透明的标本,使其变得更加透明,然后使用双光子显微镜对标本进行成像。3D 分析方法以细胞分辨率在大的空间尺度上显示标本,与 2D 方法相比具有压倒性的优势。此外,在 3D 中,全面观察和分析了 GBM 中细胞干性、微血管和免疫细胞浸润的异质性。总的来说,我们提出应该结合使用 2D 和 3D 分析方法,以提供更详细的信息来增加对 GBM 空间异质性的理解。

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