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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...

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Autores principales: Zhang, Xu, Tang, Qi, Sun, Jiayu, Guo, Yilan, Zhang, Shaoran, Liang, Shuyu, Dai, Peng, Chen, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
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.
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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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