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Spatially resolved transcriptomics provide a new method for cancer research
A major feature of cancer is the heterogeneity, both intratumoral and intertumoral. Traditional single-cell techniques have given us a comprehensive understanding of the biological characteristics of individual tumor cells, but the lack of spatial context of the transcriptome has limited the study o...
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/PMC9118771/ https://www.ncbi.nlm.nih.gov/pubmed/35590346 http://dx.doi.org/10.1186/s13046-022-02385-3 |
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author | Zheng, Bowen Fang, Lin |
author_facet | Zheng, Bowen Fang, Lin |
author_sort | Zheng, Bowen |
collection | PubMed |
description | A major feature of cancer is the heterogeneity, both intratumoral and intertumoral. Traditional single-cell techniques have given us a comprehensive understanding of the biological characteristics of individual tumor cells, but the lack of spatial context of the transcriptome has limited the study of cell-to-cell interaction patterns and hindered further exploration of tumor heterogeneity. In recent years, the advent of spatially resolved transcriptomics (SRT) technology has made possible the multidimensional analysis of the tumor microenvironment in the context of intact tissues. Different SRT methods are applicable to different working ranges due to different working principles. In this paper, we review the advantages and disadvantages of various current SRT methods and the overall idea of applying these techniques to oncology studies, hoping to help researchers find breakthroughs. Finally, we discussed the future direction of SRT technology, and deeper investigation into the complex mechanisms of tumor development from different perspectives through multi-omics fusion, paving the way for precisely targeted tumor therapy. |
format | Online Article Text |
id | pubmed-9118771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91187712022-05-20 Spatially resolved transcriptomics provide a new method for cancer research Zheng, Bowen Fang, Lin J Exp Clin Cancer Res Review A major feature of cancer is the heterogeneity, both intratumoral and intertumoral. Traditional single-cell techniques have given us a comprehensive understanding of the biological characteristics of individual tumor cells, but the lack of spatial context of the transcriptome has limited the study of cell-to-cell interaction patterns and hindered further exploration of tumor heterogeneity. In recent years, the advent of spatially resolved transcriptomics (SRT) technology has made possible the multidimensional analysis of the tumor microenvironment in the context of intact tissues. Different SRT methods are applicable to different working ranges due to different working principles. In this paper, we review the advantages and disadvantages of various current SRT methods and the overall idea of applying these techniques to oncology studies, hoping to help researchers find breakthroughs. Finally, we discussed the future direction of SRT technology, and deeper investigation into the complex mechanisms of tumor development from different perspectives through multi-omics fusion, paving the way for precisely targeted tumor therapy. BioMed Central 2022-05-19 /pmc/articles/PMC9118771/ /pubmed/35590346 http://dx.doi.org/10.1186/s13046-022-02385-3 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 Zheng, Bowen Fang, Lin Spatially resolved transcriptomics provide a new method for cancer research |
title | Spatially resolved transcriptomics provide a new method for cancer research |
title_full | Spatially resolved transcriptomics provide a new method for cancer research |
title_fullStr | Spatially resolved transcriptomics provide a new method for cancer research |
title_full_unstemmed | Spatially resolved transcriptomics provide a new method for cancer research |
title_short | Spatially resolved transcriptomics provide a new method for cancer research |
title_sort | spatially resolved transcriptomics provide a new method for cancer research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118771/ https://www.ncbi.nlm.nih.gov/pubmed/35590346 http://dx.doi.org/10.1186/s13046-022-02385-3 |
work_keys_str_mv | AT zhengbowen spatiallyresolvedtranscriptomicsprovideanewmethodforcancerresearch AT fanglin spatiallyresolvedtranscriptomicsprovideanewmethodforcancerresearch |