{"title":"Single-cell parallel analysis of DNA damage and transcriptome reveals selective genome vulnerability","authors":"Dongsheng Bai, Zhenkun Cao, Nivedita Attada, Jinghui Song, Chenxu Zhu","doi":"10.1038/s41592-025-02632-3","DOIUrl":null,"url":null,"abstract":"Maintenance of genome integrity is paramount to molecular programs in multicellular organisms. Throughout the lifespan, various endogenous and environmental factors pose persistent threats to the genome, which can result in DNA damage. Understanding the functional consequences of DNA damage requires investigating their preferred genomic distributions and influences on gene regulatory programs. However, such analysis is hindered by both the complex cell-type compositions within organs and the high background levels due to the stochasticity of damage formation. To address these challenges, we developed Paired-Damage-seq for joint analysis of oxidative and single-stranded DNA damage with gene expression in single cells. We applied this approach to cultured HeLa cells and the mouse brain as a proof of concept. Our results indicated the associations between damage formation and epigenetic changes. The distribution of oxidative DNA damage hotspots exhibits cell-type-specific patterns; this selective genome vulnerability, in turn, can predict cell types and dysregulated molecular programs that contribute to disease risks. This work presents an in situ labeling-by-repair strategy, Paired-Damage-seq, to achieve joint profiling of oxidative and single-stranded DNA damage alongside gene expression in single cells.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"22 5","pages":"962-972"},"PeriodicalIF":32.1000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Methods","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41592-025-02632-3","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Maintenance of genome integrity is paramount to molecular programs in multicellular organisms. Throughout the lifespan, various endogenous and environmental factors pose persistent threats to the genome, which can result in DNA damage. Understanding the functional consequences of DNA damage requires investigating their preferred genomic distributions and influences on gene regulatory programs. However, such analysis is hindered by both the complex cell-type compositions within organs and the high background levels due to the stochasticity of damage formation. To address these challenges, we developed Paired-Damage-seq for joint analysis of oxidative and single-stranded DNA damage with gene expression in single cells. We applied this approach to cultured HeLa cells and the mouse brain as a proof of concept. Our results indicated the associations between damage formation and epigenetic changes. The distribution of oxidative DNA damage hotspots exhibits cell-type-specific patterns; this selective genome vulnerability, in turn, can predict cell types and dysregulated molecular programs that contribute to disease risks. This work presents an in situ labeling-by-repair strategy, Paired-Damage-seq, to achieve joint profiling of oxidative and single-stranded DNA damage alongside gene expression in single cells.
保持基因组的完整性对多细胞生物的分子程序至关重要。在整个生命周期中,各种内源和环境因素对基因组构成持续威胁,可能导致DNA损伤。要了解 DNA 损伤的功能性后果,就必须研究它们的首选基因组分布以及对基因调控程序的影响。然而,器官内复杂的细胞类型组成和损伤形成的随机性导致的高背景水平阻碍了这种分析。为了应对这些挑战,我们开发了成对损伤序列(Paired-Damage-seq),用于联合分析单细胞中氧化和单链 DNA 损伤以及基因表达。作为概念验证,我们将这种方法应用于培养的 HeLa 细胞和小鼠大脑。我们的研究结果表明了损伤形成与表观遗传变化之间的关联。氧化DNA损伤热点的分布呈现出细胞类型特异性模式;这种选择性基因组脆弱性反过来又可以预测导致疾病风险的细胞类型和失调分子程序。
期刊介绍:
Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.