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Spatially resolved transcriptomics: advances and applications
Spatial transcriptomics, which is capable of both measuring all gene activity in a tissue sample and mapping where this activity occurs, is vastly improving our understanding of biological processes and disease. The field has expanded rapidly in recent years, and the development of several new techn...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891446/ https://www.ncbi.nlm.nih.gov/pubmed/36742187 http://dx.doi.org/10.1097/BS9.0000000000000141 |
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author | Duan, Honglin Cheng, Tao Cheng, Hui |
author_facet | Duan, Honglin Cheng, Tao Cheng, Hui |
author_sort | Duan, Honglin |
collection | PubMed |
description | Spatial transcriptomics, which is capable of both measuring all gene activity in a tissue sample and mapping where this activity occurs, is vastly improving our understanding of biological processes and disease. The field has expanded rapidly in recent years, and the development of several new technologies has resulted in spatially resolved transcriptomics (SRT) becoming highly multiplexed, high-resolution, and high-throughput. Here, we summarize and compare the major methods of SRT, including imaging-based methods, sequencing-based methods, and in situ sequencing methods. We also highlight some typical applications of SRT in neuroscience, cancer biology, developmental biology, and hematology. Finally, we discuss future possibilities for improving spatially resolved transcriptomic methods and the expected applications of such methods, especially in the adult bone marrow, anticipating that new developments will unlock the full potential of spatially resolved multi-omics in both biological research and the clinic. |
format | Online Article Text |
id | pubmed-9891446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-98914462023-02-02 Spatially resolved transcriptomics: advances and applications Duan, Honglin Cheng, Tao Cheng, Hui Blood Sci Review Articles Spatial transcriptomics, which is capable of both measuring all gene activity in a tissue sample and mapping where this activity occurs, is vastly improving our understanding of biological processes and disease. The field has expanded rapidly in recent years, and the development of several new technologies has resulted in spatially resolved transcriptomics (SRT) becoming highly multiplexed, high-resolution, and high-throughput. Here, we summarize and compare the major methods of SRT, including imaging-based methods, sequencing-based methods, and in situ sequencing methods. We also highlight some typical applications of SRT in neuroscience, cancer biology, developmental biology, and hematology. Finally, we discuss future possibilities for improving spatially resolved transcriptomic methods and the expected applications of such methods, especially in the adult bone marrow, anticipating that new developments will unlock the full potential of spatially resolved multi-omics in both biological research and the clinic. Lippincott Williams & Wilkins 2022-11-04 /pmc/articles/PMC9891446/ /pubmed/36742187 http://dx.doi.org/10.1097/BS9.0000000000000141 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health Inc., on behalf of the Chinese Medical Association (CMA) and Institute of Hematology, Chinese Academy of Medical Sciences & Peking Union Medical College (IHCAMS). https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Articles Duan, Honglin Cheng, Tao Cheng, Hui Spatially resolved transcriptomics: advances and applications |
title | Spatially resolved transcriptomics: advances and applications |
title_full | Spatially resolved transcriptomics: advances and applications |
title_fullStr | Spatially resolved transcriptomics: advances and applications |
title_full_unstemmed | Spatially resolved transcriptomics: advances and applications |
title_short | Spatially resolved transcriptomics: advances and applications |
title_sort | spatially resolved transcriptomics: advances and applications |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891446/ https://www.ncbi.nlm.nih.gov/pubmed/36742187 http://dx.doi.org/10.1097/BS9.0000000000000141 |
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