iMUT-seq mapping of DSB-induced mutations with high sensitivity at single-nucleotide resolution.

IF 18.4 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Aldo S Bader, Martin Bushell
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引用次数: 0

Abstract

DNA double-strand break (DSB)-induced mutagenesis is a critical contributor to a variety of human diseases; however, the ability to quantify these mutations is limited by the low sensitivity of current methodologies. Here we describe iMUT-seq, a technique that profiles DSB-induced mutations at high sensitivity and single-nucleotide resolution around endogenous DSBs, by coupling high-depth sequencing to restriction enzyme-inducible DSBs in human cell lines. iMUT-seq uses targeted sequencing to generate high-depth DNA libraries, enabling detection of mutations at incidence rates as low as 1 in 500,000. iMUT-seq can be used to identify novel mutagenic outcomes of DSBs and characterize previously unknown mechanisms of mutagenesis. The technique involves the extraction of genomic DNA from treated cells, followed by a multiplexed polymerase chain reaction and a series of library preparation reactions to generate a DNA library ready for sequencing on Illumina next-generation sequencing platforms. Finally, this novel approach to mutation profiling requires a specific analytical pipeline with careful considerations for the uncommon per-nucleotide nature of the data. Users will need experience in raw next-generation sequencing data analysis, and experience in DNA library preparation is beneficial. Overall, iMUT-seq has the potential to provide advanced insights into DSB mutagenesis, is a powerful tool in the study of novel DNA repair components and can be adapted to other organisms and types of DNA damage.

dsb诱导突变的iMUT-seq图谱在单核苷酸分辨率下具有高灵敏度。
DNA双链断裂(DSB)诱导的突变是多种人类疾病的关键因素;然而,量化这些突变的能力受到当前方法的低灵敏度的限制。在这里,我们描述了iMUT-seq,这是一种通过将高深度测序与人类细胞系中限制性内切酶诱导的dsb相结合,以高灵敏度和单核苷酸分辨率分析内源性dsb诱导突变的技术。iMUT-seq使用靶向测序来生成高深度DNA文库,从而能够以低至50万分之一的发生率检测突变。iMUT-seq可用于鉴定dsb的新致突变结果,并表征以前未知的致突变机制。该技术包括从处理过的细胞中提取基因组DNA,然后进行多重聚合酶链反应和一系列文库制备反应,以生成准备在Illumina下一代测序平台上测序的DNA文库。最后,这种新颖的突变分析方法需要一个特定的分析管道,并仔细考虑数据不常见的每核苷酸性质。用户将需要具有原始下一代测序数据分析的经验,并且具有DNA文库制备的经验是有益的。总的来说,iMUT-seq有潜力为DSB突变提供先进的见解,是研究新型DNA修复成分的有力工具,可以适用于其他生物体和DNA损伤类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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