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3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models

BACKGROUND: The spatial organization of the genome is being evaluated as a novel indicator of toxicity in conjunction with drug-induced global DNA hypomethylation and concurrent chromatin reorganization. 3D quantitative DNA methylation imaging (3D-qDMI) was applied as a cell-by-cell high-throughput...

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Autores principales: Gertych, Arkadiusz, Oh, Jin Ho, Wawrowsky, Kolja A, Weisenberger, Daniel J, Tajbakhsh, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3598242/
https://www.ncbi.nlm.nih.gov/pubmed/23394161
http://dx.doi.org/10.1186/2050-6511-14-11
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author Gertych, Arkadiusz
Oh, Jin Ho
Wawrowsky, Kolja A
Weisenberger, Daniel J
Tajbakhsh, Jian
author_facet Gertych, Arkadiusz
Oh, Jin Ho
Wawrowsky, Kolja A
Weisenberger, Daniel J
Tajbakhsh, Jian
author_sort Gertych, Arkadiusz
collection PubMed
description BACKGROUND: The spatial organization of the genome is being evaluated as a novel indicator of toxicity in conjunction with drug-induced global DNA hypomethylation and concurrent chromatin reorganization. 3D quantitative DNA methylation imaging (3D-qDMI) was applied as a cell-by-cell high-throughput approach to investigate this matter by assessing genome topology through represented immunofluorescent nuclear distribution patterns of 5-methylcytosine (MeC) and global DNA (4,6-diamidino-2-phenylindole = DAPI) in labeled nuclei. METHODS: Differential progression of global DNA hypomethylation was studied by comparatively dosing zebularine (ZEB) and 5-azacytidine (AZA). Treated and untreated (control) human prostate and liver cancer cells were subjected to confocal scanning microscopy and dedicated 3D image analysis for the following features: differential nuclear MeC/DAPI load and codistribution patterns, cell similarity based on these patterns, and corresponding differences in the topology of low-intensity MeC (LIM) and low in intensity DAPI (LID) sites. RESULTS: Both agents generated a high fraction of similar MeC phenotypes across applied concentrations. ZEB exerted similar effects at 10–100-fold higher drug concentrations than its AZA analogue: concentration-dependent progression of global cytosine demethylation, validated by measuring differential MeC levels in repeat sequences using MethyLight, and the concurrent increase in nuclear LIM densities correlated with cellular growth reduction and cytotoxicity. CONCLUSIONS: 3D-qDMI demonstrated the capability of quantitating dose-dependent drug-induced spatial progression of DNA demethylation in cell nuclei, independent from interphase cell-cycle stages and in conjunction with cytotoxicity. The results support the notion of DNA methylation topology being considered as a potential indicator of causal impacts on chromatin distribution with a conceivable application in epigenetic drug toxicology.
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spelling pubmed-35982422013-03-16 3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models Gertych, Arkadiusz Oh, Jin Ho Wawrowsky, Kolja A Weisenberger, Daniel J Tajbakhsh, Jian BMC Pharmacol Toxicol Research Article BACKGROUND: The spatial organization of the genome is being evaluated as a novel indicator of toxicity in conjunction with drug-induced global DNA hypomethylation and concurrent chromatin reorganization. 3D quantitative DNA methylation imaging (3D-qDMI) was applied as a cell-by-cell high-throughput approach to investigate this matter by assessing genome topology through represented immunofluorescent nuclear distribution patterns of 5-methylcytosine (MeC) and global DNA (4,6-diamidino-2-phenylindole = DAPI) in labeled nuclei. METHODS: Differential progression of global DNA hypomethylation was studied by comparatively dosing zebularine (ZEB) and 5-azacytidine (AZA). Treated and untreated (control) human prostate and liver cancer cells were subjected to confocal scanning microscopy and dedicated 3D image analysis for the following features: differential nuclear MeC/DAPI load and codistribution patterns, cell similarity based on these patterns, and corresponding differences in the topology of low-intensity MeC (LIM) and low in intensity DAPI (LID) sites. RESULTS: Both agents generated a high fraction of similar MeC phenotypes across applied concentrations. ZEB exerted similar effects at 10–100-fold higher drug concentrations than its AZA analogue: concentration-dependent progression of global cytosine demethylation, validated by measuring differential MeC levels in repeat sequences using MethyLight, and the concurrent increase in nuclear LIM densities correlated with cellular growth reduction and cytotoxicity. CONCLUSIONS: 3D-qDMI demonstrated the capability of quantitating dose-dependent drug-induced spatial progression of DNA demethylation in cell nuclei, independent from interphase cell-cycle stages and in conjunction with cytotoxicity. The results support the notion of DNA methylation topology being considered as a potential indicator of causal impacts on chromatin distribution with a conceivable application in epigenetic drug toxicology. BioMed Central 2013-02-11 /pmc/articles/PMC3598242/ /pubmed/23394161 http://dx.doi.org/10.1186/2050-6511-14-11 Text en Copyright ©2013 Gertych et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gertych, Arkadiusz
Oh, Jin Ho
Wawrowsky, Kolja A
Weisenberger, Daniel J
Tajbakhsh, Jian
3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
title 3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
title_full 3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
title_fullStr 3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
title_full_unstemmed 3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
title_short 3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
title_sort 3-d dna methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3598242/
https://www.ncbi.nlm.nih.gov/pubmed/23394161
http://dx.doi.org/10.1186/2050-6511-14-11
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