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Spatial multi-omics analyses of the tumor immune microenvironment
In the past decade, single-cell technologies have revealed the heterogeneity of the tumor-immune microenvironment at the genomic, transcriptomic, and proteomic levels and have furthered our understanding of the mechanisms of tumor development. Single-cell technologies have also been used to identify...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661775/ https://www.ncbi.nlm.nih.gov/pubmed/36376874 http://dx.doi.org/10.1186/s12929-022-00879-y |
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author | Hsieh, Wan-Chen Budiarto, Bugi Ratno Wang, Yi-Fu Lin, Chih-Yu Gwo, Mao-Chun So, Dorothy Kazuno Tzeng, Yi-Shiuan Chen, Shih-Yu |
author_facet | Hsieh, Wan-Chen Budiarto, Bugi Ratno Wang, Yi-Fu Lin, Chih-Yu Gwo, Mao-Chun So, Dorothy Kazuno Tzeng, Yi-Shiuan Chen, Shih-Yu |
author_sort | Hsieh, Wan-Chen |
collection | PubMed |
description | In the past decade, single-cell technologies have revealed the heterogeneity of the tumor-immune microenvironment at the genomic, transcriptomic, and proteomic levels and have furthered our understanding of the mechanisms of tumor development. Single-cell technologies have also been used to identify potential biomarkers. However, spatial information about the tumor-immune microenvironment such as cell locations and cell–cell interactomes is lost in these approaches. Recently, spatial multi-omics technologies have been used to study transcriptomes, proteomes, and metabolomes of tumor-immune microenvironments in several types of cancer, and the data obtained from these methods has been combined with immunohistochemistry and multiparameter analysis to yield markers of cancer progression. Here, we review numerous cutting-edge spatial ‘omics techniques, their application to study of the tumor-immune microenvironment, and remaining technical challenges. |
format | Online Article Text |
id | pubmed-9661775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96617752022-11-15 Spatial multi-omics analyses of the tumor immune microenvironment Hsieh, Wan-Chen Budiarto, Bugi Ratno Wang, Yi-Fu Lin, Chih-Yu Gwo, Mao-Chun So, Dorothy Kazuno Tzeng, Yi-Shiuan Chen, Shih-Yu J Biomed Sci Review In the past decade, single-cell technologies have revealed the heterogeneity of the tumor-immune microenvironment at the genomic, transcriptomic, and proteomic levels and have furthered our understanding of the mechanisms of tumor development. Single-cell technologies have also been used to identify potential biomarkers. However, spatial information about the tumor-immune microenvironment such as cell locations and cell–cell interactomes is lost in these approaches. Recently, spatial multi-omics technologies have been used to study transcriptomes, proteomes, and metabolomes of tumor-immune microenvironments in several types of cancer, and the data obtained from these methods has been combined with immunohistochemistry and multiparameter analysis to yield markers of cancer progression. Here, we review numerous cutting-edge spatial ‘omics techniques, their application to study of the tumor-immune microenvironment, and remaining technical challenges. BioMed Central 2022-11-14 /pmc/articles/PMC9661775/ /pubmed/36376874 http://dx.doi.org/10.1186/s12929-022-00879-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Hsieh, Wan-Chen Budiarto, Bugi Ratno Wang, Yi-Fu Lin, Chih-Yu Gwo, Mao-Chun So, Dorothy Kazuno Tzeng, Yi-Shiuan Chen, Shih-Yu Spatial multi-omics analyses of the tumor immune microenvironment |
title | Spatial multi-omics analyses of the tumor immune microenvironment |
title_full | Spatial multi-omics analyses of the tumor immune microenvironment |
title_fullStr | Spatial multi-omics analyses of the tumor immune microenvironment |
title_full_unstemmed | Spatial multi-omics analyses of the tumor immune microenvironment |
title_short | Spatial multi-omics analyses of the tumor immune microenvironment |
title_sort | spatial multi-omics analyses of the tumor immune microenvironment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661775/ https://www.ncbi.nlm.nih.gov/pubmed/36376874 http://dx.doi.org/10.1186/s12929-022-00879-y |
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