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HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells

DNA damage is a prominent biomarker for numerous diseases, including cancer, as well as for the aging process. Detection of DNA damage routinely relies on traditional microscopy or cytometric methods. However, these techniques are typically of limited throughput and are not ideally suited for large-...

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Autores principales: Gallant, Kelsey, Bektas, Arsun, Kaileh, Mary, Lustig, Ana, Ferrucci, Luigi, Pegoraro, Gianluca, Misteli, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022135/
https://www.ncbi.nlm.nih.gov/pubmed/35428779
http://dx.doi.org/10.1038/s41598-022-10018-0
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author Gallant, Kelsey
Bektas, Arsun
Kaileh, Mary
Lustig, Ana
Ferrucci, Luigi
Pegoraro, Gianluca
Misteli, Tom
author_facet Gallant, Kelsey
Bektas, Arsun
Kaileh, Mary
Lustig, Ana
Ferrucci, Luigi
Pegoraro, Gianluca
Misteli, Tom
author_sort Gallant, Kelsey
collection PubMed
description DNA damage is a prominent biomarker for numerous diseases, including cancer, as well as for the aging process. Detection of DNA damage routinely relies on traditional microscopy or cytometric methods. However, these techniques are typically of limited throughput and are not ideally suited for large-scale longitudinal and population studies that require analysis of large sample sets. We have developed HiIDDD (High-throughput Immune cell DNA Damage Detection), a robust, quantitative and single-cell assay that measures DNA damage by high-throughput imaging using the two major DNA damage markers 53BP1 and [Formula: see text] -H2AX. We demonstrate sensitive detection with low inter-assay variability of DNA damage in various types of freshly isolated and cryopreserved primary human immune cells, including CD4 + and CD8 + T cells, B cells and monocytes. As proof of principle, we demonstrate parallel batch processing of several immune cell types from multiple donors. We find common patterns of DNA damage in multiple immune cell types of donors of varying ages, suggesting that immune cell properties are specific to individuals. These results establish a novel high-throughput assay for the evaluation of DNA damage in large-scale studies.
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spelling pubmed-90221352022-04-25 HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells Gallant, Kelsey Bektas, Arsun Kaileh, Mary Lustig, Ana Ferrucci, Luigi Pegoraro, Gianluca Misteli, Tom Sci Rep Article DNA damage is a prominent biomarker for numerous diseases, including cancer, as well as for the aging process. Detection of DNA damage routinely relies on traditional microscopy or cytometric methods. However, these techniques are typically of limited throughput and are not ideally suited for large-scale longitudinal and population studies that require analysis of large sample sets. We have developed HiIDDD (High-throughput Immune cell DNA Damage Detection), a robust, quantitative and single-cell assay that measures DNA damage by high-throughput imaging using the two major DNA damage markers 53BP1 and [Formula: see text] -H2AX. We demonstrate sensitive detection with low inter-assay variability of DNA damage in various types of freshly isolated and cryopreserved primary human immune cells, including CD4 + and CD8 + T cells, B cells and monocytes. As proof of principle, we demonstrate parallel batch processing of several immune cell types from multiple donors. We find common patterns of DNA damage in multiple immune cell types of donors of varying ages, suggesting that immune cell properties are specific to individuals. These results establish a novel high-throughput assay for the evaluation of DNA damage in large-scale studies. Nature Publishing Group UK 2022-04-15 /pmc/articles/PMC9022135/ /pubmed/35428779 http://dx.doi.org/10.1038/s41598-022-10018-0 Text en © The Author(s) 2022 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gallant, Kelsey
Bektas, Arsun
Kaileh, Mary
Lustig, Ana
Ferrucci, Luigi
Pegoraro, Gianluca
Misteli, Tom
HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells
title HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells
title_full HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells
title_fullStr HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells
title_full_unstemmed HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells
title_short HiIDDD: a high-throughput imaging pipeline for the quantitative detection of DNA damage in primary human immune cells
title_sort hiiddd: a high-throughput imaging pipeline for the quantitative detection of dna damage in primary human immune cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022135/
https://www.ncbi.nlm.nih.gov/pubmed/35428779
http://dx.doi.org/10.1038/s41598-022-10018-0
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