MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA.
Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Genome Res. 2021 Jan;31(1):75-87. doi: 10.1101/gr.265223.120. Epub 2020 Dec 21.
DNA single-strand breaks (SSBs), or "nicks," are the most common form of DNA damage. Oxidative stress, endogenous enzyme activities, and other processes cause tens of thousands of nicks per cell per day. Accumulation of nicks, caused by high rates of occurrence or defects in repair enzymes, has been implicated in multiple diseases. However, improved methods for nick analysis are needed to characterize the mechanisms of these processes and learn how the location and number of nicks affect cells, disease progression, and health outcomes. In addition to natural processes, including DNA repair, leading genome editing technologies rely on nuclease activity, including nick generation, at specific target sites. There is currently a pressing need for methods to study off-target nicking activity genome-wide to evaluate the side effects of emerging genome editing tools on cells and organisms. Here, we developed a new method, DENT-seq, for efficient strand-specific profiling of nicks in complex DNA samples with single-nucleotide resolution and low false-positive rates. DENT-seq produces a single deep sequence data set enriched for reads near nick sites and establishes a readily detectable mutational signal that allows for determination of the nick site and strand with single-base resolution at penetrance as low as one strand per thousand. We apply DENT-seq to profile the off-target activity of the Nb.BsmI nicking endonuclease and an engineered spCas9 nickase. DENT-seq will be useful in exploring the activity of engineered nucleases in genome editing and other biotechnological applications as well as spontaneous and therapeutic-associated strand breaks.
DNA 单链断裂(SSB),也称为“缺口”,是最常见的 DNA 损伤形式。氧化应激、内源性酶活性和其他过程导致每个细胞每天产生数以万计的缺口。由于修复酶的高发生率或缺陷导致的缺口积累与多种疾病有关。然而,需要改进的缺口分析方法来描述这些过程的机制,并了解缺口的位置和数量如何影响细胞、疾病进展和健康结果。除了包括 DNA 修复在内的自然过程外,领先的基因组编辑技术还依赖于核酶活性,包括在特定靶位点产生缺口。目前迫切需要研究全基因组脱靶缺口活性的方法,以评估新兴基因组编辑工具对细胞和生物体的副作用。在这里,我们开发了一种新的方法 DENT-seq,用于以单核苷酸分辨率和低假阳性率对复杂 DNA 样品中的缺口进行高效的链特异性分析。DENT-seq 产生了一个单一的深度测序数据集,该数据集富含靠近缺口位点的读取,并建立了一个易于检测的突变信号,允许以单碱基分辨率确定缺口位点和链,穿透率低至千分之一的单链。我们应用 DENT-seq 来分析 Nb.BsmI 切口内切酶和工程化 spCas9 切口核酸酶的脱靶活性。DENT-seq 将有助于探索基因组编辑和其他生物技术应用中工程化核酶的活性,以及自发和治疗相关的链断裂。