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Spatial Transcriptomic Technologies

Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a...

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Detalles Bibliográficos
Autores principales: Chen, Tsai-Ying, You, Li, Hardillo, Jose Angelito U., Chien, Miao-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453065/
https://www.ncbi.nlm.nih.gov/pubmed/37626852
http://dx.doi.org/10.3390/cells12162042
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author Chen, Tsai-Ying
You, Li
Hardillo, Jose Angelito U.
Chien, Miao-Ping
author_facet Chen, Tsai-Ying
You, Li
Hardillo, Jose Angelito U.
Chien, Miao-Ping
author_sort Chen, Tsai-Ying
collection PubMed
description Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a range of diseases, including cancer. A variety of spatial technologies have been developed and/or commercialized, differing in spatial resolution, sensitivity, multiplexing capability, throughput and coverage. In this paper, we review key enabling spatial transcriptomic technologies and their applications as well as the perspective of the techniques and new emerging technologies that are developed to address current limitations of spatial methodologies. In addition, we describe how spatial transcriptomics data can be integrated with other omics modalities, complementing other methods in deciphering cellar interactions and phenotypes within tissues as well as providing novel insight into tissue organization.
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spelling pubmed-104530652023-08-26 Spatial Transcriptomic Technologies Chen, Tsai-Ying You, Li Hardillo, Jose Angelito U. Chien, Miao-Ping Cells Review Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a range of diseases, including cancer. A variety of spatial technologies have been developed and/or commercialized, differing in spatial resolution, sensitivity, multiplexing capability, throughput and coverage. In this paper, we review key enabling spatial transcriptomic technologies and their applications as well as the perspective of the techniques and new emerging technologies that are developed to address current limitations of spatial methodologies. In addition, we describe how spatial transcriptomics data can be integrated with other omics modalities, complementing other methods in deciphering cellar interactions and phenotypes within tissues as well as providing novel insight into tissue organization. MDPI 2023-08-10 /pmc/articles/PMC10453065/ /pubmed/37626852 http://dx.doi.org/10.3390/cells12162042 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chen, Tsai-Ying
You, Li
Hardillo, Jose Angelito U.
Chien, Miao-Ping
Spatial Transcriptomic Technologies
title Spatial Transcriptomic Technologies
title_full Spatial Transcriptomic Technologies
title_fullStr Spatial Transcriptomic Technologies
title_full_unstemmed Spatial Transcriptomic Technologies
title_short Spatial Transcriptomic Technologies
title_sort spatial transcriptomic technologies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453065/
https://www.ncbi.nlm.nih.gov/pubmed/37626852
http://dx.doi.org/10.3390/cells12162042
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