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引用次数: 0
摘要
DNA 甲基化鉴别通常面临着预处理复杂、灵敏度不足和准确性不理想等挑战。本文报告了利用单层 MoS2 纳米孔对 DNA 甲基化进行单分子读出的情况。通过调节孔的尺寸,可以控制 MoS2 纳米孔的灵敏度,从而采用标记和无标记策略进行 DNA 甲基化鉴别。通过甲基-CpG结合域蛋白1(MBD1)标记的甲基化DNA在定制纳米孔中的转移,可以分辨出双链DNA中距离短至70 bp的多个甲基化位点。为了进一步提高空间分辨率,我们设计了具有单核苷酸灵敏度的小型 MoS2 纳米孔,实现了无标记甲基化检测,其单核苷酸分辨率可识别仅有一个甲基差异的两个核苷酸。这项研究展示了工程化 MoS2 纳米孔在 DNA 甲基化检测中的可用性,凸显了它们在单分子水平上进行表观遗传学改变研究的潜力。
Tuning the Sensitivity of MoS2 Nanopores: From Labeling to Labeling-Free Detection of DNA Methylation.
DNA methylation discrimination is often challenged by complicated pretreatment, insufficient sensitivity, and suboptimal accuracy. Here, single-molecule readout of DNA methylation is reported using single-layer MoS2 nanopores. By tuning pore dimension, the sensitivity of MoS2 nanopores is manipulated, empowering both labeling and labeling-free strategies for DNA methylation discrimination. With methyl-CpG-binding domain protein 1 (MBD1)-labeled methylated DNA translocation in customized nanopores, multiple methylated sites with distance as short as 70 bp in double strand DNA can be resolved. To further improve spatial resolution, small MoS2 nanopores are engineered with single-nucleotide sensitivity, realizing labeling-free methylation detection with single-nucleotide resolution to recognize two nucleotides with only one methyl difference. This study demonstrates the availability of engineered MoS2 nanopores in DNA methylation detection, underscoring their potential for epigenetic alteration research at the single-molecule level.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.