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Spatially Resolved Transcriptomics Technology Facilitates Cancer Research
Single cell RNA sequencing (scRNA‐seq) provides a great convenience for studying tumor occurrence and development for its ability to study gene expression at the individual cell level. However, patient‐derived tumor tissues are composed of multiple types of cells including tumor cells and adjacent n...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602551/ https://www.ncbi.nlm.nih.gov/pubmed/37632718 http://dx.doi.org/10.1002/advs.202302558 |
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author | Wang, Qian Zhi, Yuan Zi, Moxin Mo, Yongzhen Wang, Yumin Liao, Qianjin Zhang, Shanshan Gong, Zhaojian Wang, Fuyan Zeng, Zhaoyang Guo, Can Xiong, Wei |
author_facet | Wang, Qian Zhi, Yuan Zi, Moxin Mo, Yongzhen Wang, Yumin Liao, Qianjin Zhang, Shanshan Gong, Zhaojian Wang, Fuyan Zeng, Zhaoyang Guo, Can Xiong, Wei |
author_sort | Wang, Qian |
collection | PubMed |
description | Single cell RNA sequencing (scRNA‐seq) provides a great convenience for studying tumor occurrence and development for its ability to study gene expression at the individual cell level. However, patient‐derived tumor tissues are composed of multiple types of cells including tumor cells and adjacent non‐malignant cells such as stromal cells and immune cells. The spatial locations of various cells in situ tissues plays a pivotal role in the occurrence and development of tumors, which cannot be elucidated by scRNA‐seq alone. Spatially resolved transcriptomics (SRT) technology emerges timely to explore the unrecognized relationship between the spatial background of a particular cell and its functions, and is increasingly used in cancer research. This review provides a systematic overview of the SRT technologies that are developed, in particular the more widely used cutting‐edge SRT technologies based on next‐generation sequencing (NGS). In addition, the main achievements by SRT technologies in precisely unveiling the underappreciated spatial locations on gene expression and cell function with unprecedented high‐resolution in cancer research are emphasized, with the aim of developing more effective clinical therapeutics oriented to a deeper understanding of the interaction between tumor cells and surrounding non‐malignant cells. |
format | Online Article Text |
id | pubmed-10602551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106025512023-10-27 Spatially Resolved Transcriptomics Technology Facilitates Cancer Research Wang, Qian Zhi, Yuan Zi, Moxin Mo, Yongzhen Wang, Yumin Liao, Qianjin Zhang, Shanshan Gong, Zhaojian Wang, Fuyan Zeng, Zhaoyang Guo, Can Xiong, Wei Adv Sci (Weinh) Reviews Single cell RNA sequencing (scRNA‐seq) provides a great convenience for studying tumor occurrence and development for its ability to study gene expression at the individual cell level. However, patient‐derived tumor tissues are composed of multiple types of cells including tumor cells and adjacent non‐malignant cells such as stromal cells and immune cells. The spatial locations of various cells in situ tissues plays a pivotal role in the occurrence and development of tumors, which cannot be elucidated by scRNA‐seq alone. Spatially resolved transcriptomics (SRT) technology emerges timely to explore the unrecognized relationship between the spatial background of a particular cell and its functions, and is increasingly used in cancer research. This review provides a systematic overview of the SRT technologies that are developed, in particular the more widely used cutting‐edge SRT technologies based on next‐generation sequencing (NGS). In addition, the main achievements by SRT technologies in precisely unveiling the underappreciated spatial locations on gene expression and cell function with unprecedented high‐resolution in cancer research are emphasized, with the aim of developing more effective clinical therapeutics oriented to a deeper understanding of the interaction between tumor cells and surrounding non‐malignant cells. John Wiley and Sons Inc. 2023-08-26 /pmc/articles/PMC10602551/ /pubmed/37632718 http://dx.doi.org/10.1002/advs.202302558 Text en © 2023 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews Wang, Qian Zhi, Yuan Zi, Moxin Mo, Yongzhen Wang, Yumin Liao, Qianjin Zhang, Shanshan Gong, Zhaojian Wang, Fuyan Zeng, Zhaoyang Guo, Can Xiong, Wei Spatially Resolved Transcriptomics Technology Facilitates Cancer Research |
title | Spatially Resolved Transcriptomics Technology Facilitates Cancer Research |
title_full | Spatially Resolved Transcriptomics Technology Facilitates Cancer Research |
title_fullStr | Spatially Resolved Transcriptomics Technology Facilitates Cancer Research |
title_full_unstemmed | Spatially Resolved Transcriptomics Technology Facilitates Cancer Research |
title_short | Spatially Resolved Transcriptomics Technology Facilitates Cancer Research |
title_sort | spatially resolved transcriptomics technology facilitates cancer research |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602551/ https://www.ncbi.nlm.nih.gov/pubmed/37632718 http://dx.doi.org/10.1002/advs.202302558 |
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