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Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment

BACKGROUND: The tumor microenvironment contributes to tumor initiation, growth, invasion, and metastasis. The tumor microenvironment is heterogeneous in cellular and acellular components, particularly structural features and their gene expression at the inter-and intra-tumor levels. MAIN TEXT: Singl...

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Autores principales: Yan, Hailan, Shi, Jinghua, Dai, Yi, Li, Xiaoyan, Wu, Yushi, Zhang, Jing, Gu, Zhiyue, Zhang, Chenyu, Leng, Jinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020011/
https://www.ncbi.nlm.nih.gov/pubmed/35440049
http://dx.doi.org/10.1186/s12935-022-02580-4
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author Yan, Hailan
Shi, Jinghua
Dai, Yi
Li, Xiaoyan
Wu, Yushi
Zhang, Jing
Gu, Zhiyue
Zhang, Chenyu
Leng, Jinhua
author_facet Yan, Hailan
Shi, Jinghua
Dai, Yi
Li, Xiaoyan
Wu, Yushi
Zhang, Jing
Gu, Zhiyue
Zhang, Chenyu
Leng, Jinhua
author_sort Yan, Hailan
collection PubMed
description BACKGROUND: The tumor microenvironment contributes to tumor initiation, growth, invasion, and metastasis. The tumor microenvironment is heterogeneous in cellular and acellular components, particularly structural features and their gene expression at the inter-and intra-tumor levels. MAIN TEXT: Single-cell RNA sequencing profiles single-cell transcriptomes to reveal cell proportions and trajectories while spatial information is lacking. Spatially resolved transcriptomics redeems this lack with limited coverage or depth of transcripts. Hence, the integration of single-cell RNA sequencing and spatial data makes the best use of their strengths, having insights into exploring diverse tissue architectures and interactions in a complicated network. We review applications of integrating the two methods, especially in cellular components in the tumor microenvironment, showing each role in cancer initiation and progression, which provides clinical relevance in prognosis, optimal treatment, and potential therapeutic targets. CONCLUSION: The integration of two approaches may break the bottlenecks in the spatial resolution of neighboring cell subpopulations in cancer, and help to describe the signaling circuitry about the intercommunication and its exact mechanisms in producing different types and malignant stages of tumors.
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spelling pubmed-90200112022-04-21 Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment Yan, Hailan Shi, Jinghua Dai, Yi Li, Xiaoyan Wu, Yushi Zhang, Jing Gu, Zhiyue Zhang, Chenyu Leng, Jinhua Cancer Cell Int Review BACKGROUND: The tumor microenvironment contributes to tumor initiation, growth, invasion, and metastasis. The tumor microenvironment is heterogeneous in cellular and acellular components, particularly structural features and their gene expression at the inter-and intra-tumor levels. MAIN TEXT: Single-cell RNA sequencing profiles single-cell transcriptomes to reveal cell proportions and trajectories while spatial information is lacking. Spatially resolved transcriptomics redeems this lack with limited coverage or depth of transcripts. Hence, the integration of single-cell RNA sequencing and spatial data makes the best use of their strengths, having insights into exploring diverse tissue architectures and interactions in a complicated network. We review applications of integrating the two methods, especially in cellular components in the tumor microenvironment, showing each role in cancer initiation and progression, which provides clinical relevance in prognosis, optimal treatment, and potential therapeutic targets. CONCLUSION: The integration of two approaches may break the bottlenecks in the spatial resolution of neighboring cell subpopulations in cancer, and help to describe the signaling circuitry about the intercommunication and its exact mechanisms in producing different types and malignant stages of tumors. BioMed Central 2022-04-19 /pmc/articles/PMC9020011/ /pubmed/35440049 http://dx.doi.org/10.1186/s12935-022-02580-4 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
Yan, Hailan
Shi, Jinghua
Dai, Yi
Li, Xiaoyan
Wu, Yushi
Zhang, Jing
Gu, Zhiyue
Zhang, Chenyu
Leng, Jinhua
Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment
title Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment
title_full Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment
title_fullStr Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment
title_full_unstemmed Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment
title_short Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment
title_sort technique integration of single-cell rna sequencing with spatially resolved transcriptomics in the tumor microenvironment
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020011/
https://www.ncbi.nlm.nih.gov/pubmed/35440049
http://dx.doi.org/10.1186/s12935-022-02580-4
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