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Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed
The potential to migrate is one of the most fundamental functions for various epithelial, mesenchymal, and immune cells. Image analysis of motile cell populations, both primary and cultured, typically reveals an intercellular variability in migration speeds. However, cell migration chromatography, t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851856/ https://www.ncbi.nlm.nih.gov/pubmed/33085550 http://dx.doi.org/10.1091/mbc.E20-07-0466 |
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author | Arora, Aditya Niño, Jorge Luis Galeano Myaing, Myint Zu Chia, Shumei Arasi, Bakya Ravasio, Andrea Huang, Ruby Yun-Ju Dasgupta, Ramanuj Biro, Maté Viasnoff, Virgile |
author_facet | Arora, Aditya Niño, Jorge Luis Galeano Myaing, Myint Zu Chia, Shumei Arasi, Bakya Ravasio, Andrea Huang, Ruby Yun-Ju Dasgupta, Ramanuj Biro, Maté Viasnoff, Virgile |
author_sort | Arora, Aditya |
collection | PubMed |
description | The potential to migrate is one of the most fundamental functions for various epithelial, mesenchymal, and immune cells. Image analysis of motile cell populations, both primary and cultured, typically reveals an intercellular variability in migration speeds. However, cell migration chromatography, the sorting of large populations of cells based on their migratory characteristics, cannot be easily performed. The lack of such methods has hindered our understanding of the direct correlation between the capacity to migrate and other cellular properties. Here, we report two novel, easily implementable and readily scalable methods to sort millions of live migratory cancer and immune cells based on their spontaneous migration in two-dimensional and three-dimensional microenvironments, respectively. Correlative downstream transcriptomic, molecular and functional tests reveal marked differences between the fast and slow subpopulations in patient-derived cancer cells. We further employ our method to reveal that sorting the most migratory cytotoxic T lymphocytes yields a pool of cells with enhanced cytotoxicity against cancer cells. This phenotypic assay opens new avenues for the precise characterization of the mechanisms underlying hither to unexplained heterogeneities in migratory phenotypes within a cell population, and for the targeted enrichment of the most potent migratory leukocytes in immunotherapies. |
format | Online Article Text |
id | pubmed-7851856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-78518562021-02-18 Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed Arora, Aditya Niño, Jorge Luis Galeano Myaing, Myint Zu Chia, Shumei Arasi, Bakya Ravasio, Andrea Huang, Ruby Yun-Ju Dasgupta, Ramanuj Biro, Maté Viasnoff, Virgile Mol Biol Cell Articles The potential to migrate is one of the most fundamental functions for various epithelial, mesenchymal, and immune cells. Image analysis of motile cell populations, both primary and cultured, typically reveals an intercellular variability in migration speeds. However, cell migration chromatography, the sorting of large populations of cells based on their migratory characteristics, cannot be easily performed. The lack of such methods has hindered our understanding of the direct correlation between the capacity to migrate and other cellular properties. Here, we report two novel, easily implementable and readily scalable methods to sort millions of live migratory cancer and immune cells based on their spontaneous migration in two-dimensional and three-dimensional microenvironments, respectively. Correlative downstream transcriptomic, molecular and functional tests reveal marked differences between the fast and slow subpopulations in patient-derived cancer cells. We further employ our method to reveal that sorting the most migratory cytotoxic T lymphocytes yields a pool of cells with enhanced cytotoxicity against cancer cells. This phenotypic assay opens new avenues for the precise characterization of the mechanisms underlying hither to unexplained heterogeneities in migratory phenotypes within a cell population, and for the targeted enrichment of the most potent migratory leukocytes in immunotherapies. The American Society for Cell Biology 2020-12-01 /pmc/articles/PMC7851856/ /pubmed/33085550 http://dx.doi.org/10.1091/mbc.E20-07-0466 Text en © 2020 Arora et al. “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology. http://creativecommons.org/licenses/by-nc-sa/3.0 This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License. |
spellingShingle | Articles Arora, Aditya Niño, Jorge Luis Galeano Myaing, Myint Zu Chia, Shumei Arasi, Bakya Ravasio, Andrea Huang, Ruby Yun-Ju Dasgupta, Ramanuj Biro, Maté Viasnoff, Virgile Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed |
title | Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed |
title_full | Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed |
title_fullStr | Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed |
title_full_unstemmed | Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed |
title_short | Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed |
title_sort | two high-yield complementary methods to sort cell populations by their 2d or 3d migration speed |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851856/ https://www.ncbi.nlm.nih.gov/pubmed/33085550 http://dx.doi.org/10.1091/mbc.E20-07-0466 |
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