Literature DB >> 31743584

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

Runwei Yang1,2, Jinglin Guo1,2, Zhiying Lin1,2, Haimin Song1,2, Zhanpeng Feng1,2, Yichao Ou1,2, Mingfeng Zhou1,2, Yaomin Li1,2, Guozhong Yi1,2, Ke Li2, Kaishu Li1,2, Manlan Guo2, Xiran Wang1,2, Guanglong Huang1,2,3, Zhifeng Liu4, Songtao Qi1,2,3, Yawei Liu1,2.   

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.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  glioblastoma; spatial heterogeneity; three-dimensional analysis; two-dimensional analysis

Mesh:

Year:  2019        PMID: 31743584     DOI: 10.1002/jbio.201900196

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  4 in total

1.  Cancer-Associated circRNA-miRNA-mRNA Regulatory Networks: A Meta-Analysis.

Authors:  Shaheerah Khan; Atimukta Jha; Amaresh C Panda; Anshuman Dixit
Journal:  Front Mol Biosci       Date:  2021-05-12

Review 2.  Optical Tissue Clearing: Illuminating Brain Function and Dysfunction.

Authors:  Xiaohan Liang; Haiming Luo
Journal:  Theranostics       Date:  2021-01-01       Impact factor: 11.556

3.  A Novel Three-Dimensional Imaging System Based on Polysaccharide Staining for Accurate Histopathological Diagnosis of Inflammatory Bowel Diseases.

Authors:  Satoshi Nojima; Shoichi Ishida; Kei Terayama; Katsuhiko Matsumoto; Takahiro Matsui; Shinichiro Tahara; Kenji Ohshima; Hiroki Kiyokawa; Kansuke Kido; Koto Ukon; Shota Y Yoshida; Tomoki T Mitani; Yuichiro Doki; Tsunekazu Mizushima; Yasushi Okuno; Etsuo A Susaki; Hiroki R Ueda; Eiichi Morii
Journal:  Cell Mol Gastroenterol Hepatol       Date:  2022-07-12

Review 4.  Tissue clearing to examine tumour complexity in three dimensions.

Authors:  Jorge Almagro; Hendrik A Messal; May Zaw Thin; Jacco van Rheenen; Axel Behrens
Journal:  Nat Rev Cancer       Date:  2021-07-30       Impact factor: 60.716

  4 in total

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