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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...

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Autores principales: Wang, Qian, Zhi, Yuan, Zi, Moxin, Mo, Yongzhen, Wang, Yumin, Liao, Qianjin, Zhang, Shanshan, Gong, Zhaojian, Wang, Fuyan, Zeng, Zhaoyang, Guo, Can, Xiong, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
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.
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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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