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A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death
The temporal context of cell death decisions remains generally hidden in ensemble measurements with endpoint readouts. Here, we describe a method to extract event times from fluorescence time traces of cell death-related markers in automated live-cell imaging on single-cell arrays (LISCA) using epit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345847/ https://www.ncbi.nlm.nih.gov/pubmed/30701200 http://dx.doi.org/10.1038/s42003-019-0282-0 |
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author | Murschhauser, Alexandra Röttgermann, Peter J. F. Woschée, Daniel Ober, Martina F. Yan, Yan Dawson, Kenneth A. Rädler, Joachim O. |
author_facet | Murschhauser, Alexandra Röttgermann, Peter J. F. Woschée, Daniel Ober, Martina F. Yan, Yan Dawson, Kenneth A. Rädler, Joachim O. |
author_sort | Murschhauser, Alexandra |
collection | PubMed |
description | The temporal context of cell death decisions remains generally hidden in ensemble measurements with endpoint readouts. Here, we describe a method to extract event times from fluorescence time traces of cell death-related markers in automated live-cell imaging on single-cell arrays (LISCA) using epithelial A549 lung and Huh7 liver cancer cells as a model system. In pairwise marker combinations, we assess the chronological sequence and delay times of the events lysosomal membrane permeabilization, mitochondrial outer membrane permeabilization and oxidative burst after exposure to 58 nm amino-functionalized polystyrene nanoparticles (PS-NH(2) nanoparticles). From two-dimensional event-time scatter plots we infer a lysosomal signal pathway at a low dose of nanoparticles (25 µg mL(−1)) for both cell lines, while at a higher dose (100 µg mL(−1)) a mitochondrial pathway coexists in A549 cells, but not in Huh7. In general, event-time correlations provide detailed insights into heterogeneity and interdependencies in signal transmission pathways. |
format | Online Article Text |
id | pubmed-6345847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63458472019-01-30 A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death Murschhauser, Alexandra Röttgermann, Peter J. F. Woschée, Daniel Ober, Martina F. Yan, Yan Dawson, Kenneth A. Rädler, Joachim O. Commun Biol Article The temporal context of cell death decisions remains generally hidden in ensemble measurements with endpoint readouts. Here, we describe a method to extract event times from fluorescence time traces of cell death-related markers in automated live-cell imaging on single-cell arrays (LISCA) using epithelial A549 lung and Huh7 liver cancer cells as a model system. In pairwise marker combinations, we assess the chronological sequence and delay times of the events lysosomal membrane permeabilization, mitochondrial outer membrane permeabilization and oxidative burst after exposure to 58 nm amino-functionalized polystyrene nanoparticles (PS-NH(2) nanoparticles). From two-dimensional event-time scatter plots we infer a lysosomal signal pathway at a low dose of nanoparticles (25 µg mL(−1)) for both cell lines, while at a higher dose (100 µg mL(−1)) a mitochondrial pathway coexists in A549 cells, but not in Huh7. In general, event-time correlations provide detailed insights into heterogeneity and interdependencies in signal transmission pathways. Nature Publishing Group UK 2019-01-24 /pmc/articles/PMC6345847/ /pubmed/30701200 http://dx.doi.org/10.1038/s42003-019-0282-0 Text en © The Author(s) 2019 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/. |
spellingShingle | Article Murschhauser, Alexandra Röttgermann, Peter J. F. Woschée, Daniel Ober, Martina F. Yan, Yan Dawson, Kenneth A. Rädler, Joachim O. A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
title | A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
title_full | A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
title_fullStr | A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
title_full_unstemmed | A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
title_short | A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
title_sort | high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345847/ https://www.ncbi.nlm.nih.gov/pubmed/30701200 http://dx.doi.org/10.1038/s42003-019-0282-0 |
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