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Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113320/ https://www.ncbi.nlm.nih.gov/pubmed/32238824 http://dx.doi.org/10.1038/s41598-020-62176-8 |
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author | Hiratsuka, Takuya Arakawa, Yoshiki Yajima, Yuka Kakimoto, Yu Shima, Keisuke Yamazaki, Yuzo Ikegami, Masahiro Yamamoto, Takushi Fujiwake, Hideshi Fujimoto, Koichi Yamada, Norishige Tsuruyama, Tatsuaki |
author_facet | Hiratsuka, Takuya Arakawa, Yoshiki Yajima, Yuka Kakimoto, Yu Shima, Keisuke Yamazaki, Yuzo Ikegami, Masahiro Yamamoto, Takushi Fujiwake, Hideshi Fujimoto, Koichi Yamada, Norishige Tsuruyama, Tatsuaki |
author_sort | Hiratsuka, Takuya |
collection | PubMed |
description | 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 α, 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. |
format | Online Article Text |
id | pubmed-7113320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71133202020-04-06 Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours Hiratsuka, Takuya Arakawa, Yoshiki Yajima, Yuka Kakimoto, Yu Shima, Keisuke Yamazaki, Yuzo Ikegami, Masahiro Yamamoto, Takushi Fujiwake, Hideshi Fujimoto, Koichi Yamada, Norishige Tsuruyama, Tatsuaki Sci Rep Article 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 α, 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. Nature Publishing Group UK 2020-04-01 /pmc/articles/PMC7113320/ /pubmed/32238824 http://dx.doi.org/10.1038/s41598-020-62176-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hiratsuka, Takuya Arakawa, Yoshiki Yajima, Yuka Kakimoto, Yu Shima, Keisuke Yamazaki, Yuzo Ikegami, Masahiro Yamamoto, Takushi Fujiwake, Hideshi Fujimoto, Koichi Yamada, Norishige Tsuruyama, Tatsuaki Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours |
title | Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours |
title_full | Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours |
title_fullStr | Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours |
title_full_unstemmed | Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours |
title_short | Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours |
title_sort | hierarchical cluster and region of interest analyses based on mass spectrometry imaging of human brain tumours |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113320/ https://www.ncbi.nlm.nih.gov/pubmed/32238824 http://dx.doi.org/10.1038/s41598-020-62176-8 |
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