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      DNA damage and somatic mutations in mammalian cells after irradiation with a nail polish dryer

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          Abstract

          Ultraviolet A light is commonly emitted by UV-nail polish dryers with recent reports suggesting that long-term use may increase the risk for developing skin cancer. However, no experimental evaluation has been conducted to reveal the effect of radiation emitted by UV-nail polish dryers on mammalian cells. Here, we show that irradiation by a UV-nail polish dryer causes high levels of reactive oxygen species, consistent with 8-oxo-7,8-dihydroguanine damage and mitochondrial dysfunction. Analysis of somatic mutations reveals a dose-dependent increase of C:G>A:T substitutions in irradiated samples with mutagenic patterns similar to mutational signatures previously attributed to reactive oxygen species. In summary, this study demonstrates that radiation emitted by UV-nail polish dryers can both damage DNA and permanently engrave mutations on the genomes of primary mouse embryonic fibroblasts, human foreskin fibroblasts, and human epidermal keratinocytes.

          Abstract

          Nail polish dryers commonly emit ultraviolet A (UVA) light, but the effects of this irradiation on mammalian cells remain unclear. Here, the authors examine the effects of UVA irradiation by a nail polish dryer on the genomes of mammalian cell lines, finding high levels of reactive oxygen species and related mutational signatures.

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          Complex heatmaps reveal patterns and correlations in multidimensional genomic data.

          Parallel heatmaps with carefully designed annotation graphics are powerful for efficient visualization of patterns and relationships among high dimensional genomic data. Here we present the ComplexHeatmap package that provides rich functionalities for customizing heatmaps, arranging multiple parallel heatmaps and including user-defined annotation graphics. We demonstrate the power of ComplexHeatmap to easily reveal patterns and correlations among multiple sources of information with four real-world datasets.
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            Signatures of mutational processes in human cancer

            All cancers are caused by somatic mutations. However, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here, we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, kataegis, is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer with potential implications for understanding of cancer etiology, prevention and therapy.
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              The Ensembl Variant Effect Predictor

              The Ensembl Variant Effect Predictor is a powerful toolset for the analysis, annotation, and prioritization of genomic variants in coding and non-coding regions. It provides access to an extensive collection of genomic annotation, with a variety of interfaces to suit different requirements, and simple options for configuring and extending analysis. It is open source, free to use, and supports full reproducibility of results. The Ensembl Variant Effect Predictor can simplify and accelerate variant interpretation in a wide range of study designs.
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                Author and article information

                Contributors
                L2alexandrov@health.ucsd.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                17 January 2023
                17 January 2023
                2023
                : 14
                : 276
                Affiliations
                [1 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Department of Cellular and Molecular Medicine, , UC San Diego, ; La Jolla, CA 92093 USA
                [2 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Department of Bioengineering, , UC San Diego, ; La Jolla, CA 92093 USA
                [3 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Moores Cancer Center, , UC San Diego, ; La Jolla, CA 92037 USA
                [4 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, UPMC-Hillman Cancer Center, , University of Pittsburgh, ; Pittsburgh, PA 15213 USA
                Author information
                http://orcid.org/0000-0002-4931-7979
                http://orcid.org/0000-0002-4009-2478
                http://orcid.org/0000-0003-3596-4515
                Article
                35876
                10.1038/s41467-023-35876-8
                9845303
                36650165
                44314f0e-d1c2-4e36-ae1b-976658f7b8b4
                © The Author(s) 2023

                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/.

                History
                : 7 February 2021
                : 5 January 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000066, U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS);
                Award ID: R35ES031638-03
                Award ID: R01ES032547-01
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS)
                Funded by: FundRef https://doi.org/10.13039/100000054, U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI);
                Award ID: R01CA269919-01
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000008, David and Lucile Packard Foundation (David & Lucile Packard Foundation);
                Award ID: Packard Fellowship for Science and Engineering
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100001368, V Foundation for Cancer Research (V Foundation);
                Award ID: Abeloff V Scholar Grant
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000879, Alfred P. Sloan Foundation;
                Award ID: Sloan Fellowship
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2023

                Uncategorized
                cancer,cancer genomics
                Uncategorized
                cancer, cancer genomics

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