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Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes
A cell’s phenotype and function are influenced by dynamic interactions with its microenvironment. To examine cellular spatiotemporal activity, we developed SPACECAT—Spatially PhotoActivatable Color Encoded Cell Address Tags—to annotate, track, and isolate cells while preserving viability. In SPACECA...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371137/ https://www.ncbi.nlm.nih.gov/pubmed/34404785 http://dx.doi.org/10.1038/s41467-021-25279-y |
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author | Genshaft, Alex S Ziegler, Carly G. K. Tzouanas, Constantine N. Mead, Benjamin E. Jaeger, Alex M. Navia, Andrew W. King, Ryan P. Mana, Miyeko D. Huang, Siyi Mitsialis, Vanessa Snapper, Scott B. Yilmaz, Ömer H. Jacks, Tyler Van Humbeck, Jeffrey F. Shalek, Alex K. |
author_facet | Genshaft, Alex S Ziegler, Carly G. K. Tzouanas, Constantine N. Mead, Benjamin E. Jaeger, Alex M. Navia, Andrew W. King, Ryan P. Mana, Miyeko D. Huang, Siyi Mitsialis, Vanessa Snapper, Scott B. Yilmaz, Ömer H. Jacks, Tyler Van Humbeck, Jeffrey F. Shalek, Alex K. |
author_sort | Genshaft, Alex S |
collection | PubMed |
description | A cell’s phenotype and function are influenced by dynamic interactions with its microenvironment. To examine cellular spatiotemporal activity, we developed SPACECAT—Spatially PhotoActivatable Color Encoded Cell Address Tags—to annotate, track, and isolate cells while preserving viability. In SPACECAT, samples are stained with photocaged fluorescent molecules, and cells are labeled by uncaging those molecules with user-patterned near-UV light. SPACECAT offers single-cell precision and temporal stability across diverse cell and tissue types. Illustratively, we target crypt-like regions in patient-derived intestinal organoids to enrich for stem-like and actively mitotic cells, matching literature expectations. Moreover, we apply SPACECAT to ex vivo tissue sections from four healthy organs and an autochthonous lung tumor model. Lastly, we provide a computational framework to identify spatially-biased transcriptome patterns and enriched phenotypes. This minimally perturbative and broadly applicable method links cellular spatiotemporal and/or behavioral phenotypes with diverse downstream assays, enabling insights into the connections between tissue microenvironments and (dys)function. |
format | Online Article Text |
id | pubmed-8371137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83711372021-09-02 Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes Genshaft, Alex S Ziegler, Carly G. K. Tzouanas, Constantine N. Mead, Benjamin E. Jaeger, Alex M. Navia, Andrew W. King, Ryan P. Mana, Miyeko D. Huang, Siyi Mitsialis, Vanessa Snapper, Scott B. Yilmaz, Ömer H. Jacks, Tyler Van Humbeck, Jeffrey F. Shalek, Alex K. Nat Commun Article A cell’s phenotype and function are influenced by dynamic interactions with its microenvironment. To examine cellular spatiotemporal activity, we developed SPACECAT—Spatially PhotoActivatable Color Encoded Cell Address Tags—to annotate, track, and isolate cells while preserving viability. In SPACECAT, samples are stained with photocaged fluorescent molecules, and cells are labeled by uncaging those molecules with user-patterned near-UV light. SPACECAT offers single-cell precision and temporal stability across diverse cell and tissue types. Illustratively, we target crypt-like regions in patient-derived intestinal organoids to enrich for stem-like and actively mitotic cells, matching literature expectations. Moreover, we apply SPACECAT to ex vivo tissue sections from four healthy organs and an autochthonous lung tumor model. Lastly, we provide a computational framework to identify spatially-biased transcriptome patterns and enriched phenotypes. This minimally perturbative and broadly applicable method links cellular spatiotemporal and/or behavioral phenotypes with diverse downstream assays, enabling insights into the connections between tissue microenvironments and (dys)function. Nature Publishing Group UK 2021-08-17 /pmc/articles/PMC8371137/ /pubmed/34404785 http://dx.doi.org/10.1038/s41467-021-25279-y Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Genshaft, Alex S Ziegler, Carly G. K. Tzouanas, Constantine N. Mead, Benjamin E. Jaeger, Alex M. Navia, Andrew W. King, Ryan P. Mana, Miyeko D. Huang, Siyi Mitsialis, Vanessa Snapper, Scott B. Yilmaz, Ömer H. Jacks, Tyler Van Humbeck, Jeffrey F. Shalek, Alex K. Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
title | Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
title_full | Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
title_fullStr | Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
title_full_unstemmed | Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
title_short | Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
title_sort | live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371137/ https://www.ncbi.nlm.nih.gov/pubmed/34404785 http://dx.doi.org/10.1038/s41467-021-25279-y |
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