Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours
Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours
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DOI：
10.1038/s41598-020-62176-8
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发表时间：
2020-04-01
影响因子：
4.6
通讯作者：
Tsuruyama, Tatsuaki
中科院分区：
文献类型：
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作者：
Hiratsuka, Takuya;Arakawa, Yoshiki;Tsuruyama, Tatsuaki
成像质谱法（IMS）很少用于检查人类脑肿瘤标本。在本研究中，通过组织观察选择高质量的脑肿瘤样本。此外，IMS分析与新的层次聚类分析（IMS- hca）和兴趣区域分析（IMS- roi）相结合。IMS-HCA成功创建了由原发性脑肿瘤中胶质原纤维酸性蛋白（GFAP）和相关多种蛋白的相似信号分布图像组成的组。这些聚类数据提示GFAP与这些鉴定的蛋白在脑肿瘤发生中的关系。此外，使用IMS-ROI在转移性脑肿瘤中发现了高水平的组蛋白、血红蛋白亚基a、微管蛋白和GFAP。我们的研究结果表明，IMS-HCA和IMS-ROI是利用脑肿瘤样本识别生物标志物的有前途的技术。
Imaging mass spectrometry (IMS) has been rarely used to examine specimens of human brain tumours. In the current study, high quality brain tumour samples were selected by tissue observation. Further, IMS analysis was combined with a new hierarchical cluster analysis (IMS-HCA) and region of interest analysis (IMS-ROI). IMS-HCA was successful in creating groups consisting of similar signal distribution images of glial fibrillary acidic protein (GFAP) and related multiple proteins in primary brain tumours. This clustering data suggested the relation of GFAP and these identified proteins in the brain tumorigenesis. Also, high levels of histone proteins, haemoglobin subunit a, tubulins, and GFAP were identified in a metastatic brain tumour using IMS-ROI. Our results show that IMS-HCA and IMS-ROI are promising techniques for identifying biomarkers using brain tumour samples.