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Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues
Proximity labeling has emerged as a powerful strategy for interrogating cell-cell interactions. However, the nanometer-scale labeling radius impedes the use of current methods for indirect cell communications and makes recording cell spatial organization in tissue samples difficult. Here, we develop...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219591/ https://www.ncbi.nlm.nih.gov/pubmed/37235653 http://dx.doi.org/10.1126/sciadv.adg6388 |
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author | Zhang, Xu Tang, Qi Sun, Jiayu Guo, Yilan Zhang, Shaoran Liang, Shuyu Dai, Peng Chen, Xing |
author_facet | Zhang, Xu Tang, Qi Sun, Jiayu Guo, Yilan Zhang, Shaoran Liang, Shuyu Dai, Peng Chen, Xing |
author_sort | Zhang, Xu |
collection | PubMed |
description | Proximity labeling has emerged as a powerful strategy for interrogating cell-cell interactions. However, the nanometer-scale labeling radius impedes the use of current methods for indirect cell communications and makes recording cell spatial organization in tissue samples difficult. Here, we develop quinone methide–assisted identification of cell spatial organization (QMID), a chemical strategy with the labeling radius matching the cell dimension. The activating enzyme is installed on the surface of bait cells, which produces QM electrophiles that can diffuse across micrometers and label proximal prey cells independent of cell-cell contacts. In cell coculture, QMID reveals gene expression of macrophages that are regulated by spatial proximity to tumor cells. Furthermore, QMID enables labeling and isolation of proximal cells of CD4(+) and CD8(+) T cells in the mouse spleen, and subsequent single-cell RNA sequencing uncovers distinctive cell populations and gene expression patterns within the immune niches of specific T cell subtypes. QMID should facilitate dissecting cell spatial organization in various tissues. |
format | Online Article Text |
id | pubmed-10219591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102195912023-05-27 Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues Zhang, Xu Tang, Qi Sun, Jiayu Guo, Yilan Zhang, Shaoran Liang, Shuyu Dai, Peng Chen, Xing Sci Adv Biomedicine and Life Sciences Proximity labeling has emerged as a powerful strategy for interrogating cell-cell interactions. However, the nanometer-scale labeling radius impedes the use of current methods for indirect cell communications and makes recording cell spatial organization in tissue samples difficult. Here, we develop quinone methide–assisted identification of cell spatial organization (QMID), a chemical strategy with the labeling radius matching the cell dimension. The activating enzyme is installed on the surface of bait cells, which produces QM electrophiles that can diffuse across micrometers and label proximal prey cells independent of cell-cell contacts. In cell coculture, QMID reveals gene expression of macrophages that are regulated by spatial proximity to tumor cells. Furthermore, QMID enables labeling and isolation of proximal cells of CD4(+) and CD8(+) T cells in the mouse spleen, and subsequent single-cell RNA sequencing uncovers distinctive cell populations and gene expression patterns within the immune niches of specific T cell subtypes. QMID should facilitate dissecting cell spatial organization in various tissues. American Association for the Advancement of Science 2023-05-26 /pmc/articles/PMC10219591/ /pubmed/37235653 http://dx.doi.org/10.1126/sciadv.adg6388 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Zhang, Xu Tang, Qi Sun, Jiayu Guo, Yilan Zhang, Shaoran Liang, Shuyu Dai, Peng Chen, Xing Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
title | Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
title_full | Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
title_fullStr | Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
title_full_unstemmed | Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
title_short | Cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
title_sort | cellular-scale proximity labeling for recording cell spatial organization in mouse tissues |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219591/ https://www.ncbi.nlm.nih.gov/pubmed/37235653 http://dx.doi.org/10.1126/sciadv.adg6388 |
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