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A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology
Interpreting the mechanisms and principles that govern gene activity and how these genes work according to -their cellular distribution in organisms has profound implications for cancer research. The latest technological advancements, such as imaging-based approaches and next-generation single-cell...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659855/ https://www.ncbi.nlm.nih.gov/pubmed/36389765 http://dx.doi.org/10.3389/fimmu.2022.996721 |
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author | Hu, Bian Sajid, Muhammad Lv, Rong Liu, Lianxin Sun, Cheng |
author_facet | Hu, Bian Sajid, Muhammad Lv, Rong Liu, Lianxin Sun, Cheng |
author_sort | Hu, Bian |
collection | PubMed |
description | Interpreting the mechanisms and principles that govern gene activity and how these genes work according to -their cellular distribution in organisms has profound implications for cancer research. The latest technological advancements, such as imaging-based approaches and next-generation single-cell sequencing technologies, have established a platform for spatial transcriptomics to systematically quantify the expression of all or most genes in the entire tumor microenvironment and explore an array of disease milieus, particularly in tumors. Spatial profiling technologies permit the study of transcriptional activity at the spatial or single-cell level. This multidimensional classification of the transcriptomic and proteomic signatures of tumors, especially the associated immune and stromal cells, facilitates evaluation of tumor heterogeneity, details of the evolutionary trajectory of each tumor, and multifaceted interactions between each tumor cell and its microenvironment. Therefore, spatial profiling technologies may provide abundant and high-resolution information required for the description of clinical-related features in immuno-oncology. From this perspective, the present review will highlight the importance of spatial transcriptomic and spatial proteomics analysis along with the joint use of other sequencing technologies and their implications in cancers and immune-oncology. In the near future, advances in spatial profiling technologies will undoubtedly expand our understanding of tumor biology and highlight possible precision therapeutic targets for cancer patients. |
format | Online Article Text |
id | pubmed-9659855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96598552022-11-15 A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology Hu, Bian Sajid, Muhammad Lv, Rong Liu, Lianxin Sun, Cheng Front Immunol Immunology Interpreting the mechanisms and principles that govern gene activity and how these genes work according to -their cellular distribution in organisms has profound implications for cancer research. The latest technological advancements, such as imaging-based approaches and next-generation single-cell sequencing technologies, have established a platform for spatial transcriptomics to systematically quantify the expression of all or most genes in the entire tumor microenvironment and explore an array of disease milieus, particularly in tumors. Spatial profiling technologies permit the study of transcriptional activity at the spatial or single-cell level. This multidimensional classification of the transcriptomic and proteomic signatures of tumors, especially the associated immune and stromal cells, facilitates evaluation of tumor heterogeneity, details of the evolutionary trajectory of each tumor, and multifaceted interactions between each tumor cell and its microenvironment. Therefore, spatial profiling technologies may provide abundant and high-resolution information required for the description of clinical-related features in immuno-oncology. From this perspective, the present review will highlight the importance of spatial transcriptomic and spatial proteomics analysis along with the joint use of other sequencing technologies and their implications in cancers and immune-oncology. In the near future, advances in spatial profiling technologies will undoubtedly expand our understanding of tumor biology and highlight possible precision therapeutic targets for cancer patients. Frontiers Media S.A. 2022-10-31 /pmc/articles/PMC9659855/ /pubmed/36389765 http://dx.doi.org/10.3389/fimmu.2022.996721 Text en Copyright © 2022 Hu, Sajid, Lv, Liu and Sun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Hu, Bian Sajid, Muhammad Lv, Rong Liu, Lianxin Sun, Cheng A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
title | A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
title_full | A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
title_fullStr | A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
title_full_unstemmed | A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
title_short | A review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
title_sort | review of spatial profiling technologies for characterizing the tumor microenvironment in immuno-oncology |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659855/ https://www.ncbi.nlm.nih.gov/pubmed/36389765 http://dx.doi.org/10.3389/fimmu.2022.996721 |
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