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瞬时 DNA 结合的点突变单分子计数。

Single-Molecule Counting of Point Mutations by Transient DNA Binding.

机构信息

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.

Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.

出版信息

Sci Rep. 2017 Mar 6;7:43824. doi: 10.1038/srep43824.

Abstract

High-confidence detection of point mutations is important for disease diagnosis and clinical practice. Hybridization probes are extensively used, but are hindered by their poor single-nucleotide selectivity. Shortening the length of DNA hybridization probes weakens the stability of the probe-target duplex, leading to transient binding between complementary sequences. The kinetics of probe-target binding events are highly dependent on the number of complementary base pairs. Here, we present a single-molecule assay for point mutation detection based on transient DNA binding and use of total internal reflection fluorescence microscopy. Statistical analysis of single-molecule kinetics enabled us to effectively discriminate between wild type DNA sequences and single-nucleotide variants at the single-molecule level. A higher single-nucleotide discrimination is achieved than in our previous work by optimizing the assay conditions, which is guided by statistical modeling of kinetics with a gamma distribution. The KRAS c.34 A mutation can be clearly differentiated from the wild type sequence (KRAS c.34 G) at a relative abundance as low as 0.01% mutant to WT. To demonstrate the feasibility of this method for analysis of clinically relevant biological samples, we used this technology to detect mutations in single-stranded DNA generated from asymmetric RT-PCR of mRNA from two cancer cell lines.

摘要

高可信度的点突变检测对疾病诊断和临床实践非常重要。杂交探针被广泛应用,但它们的单核苷酸选择性较差。缩短 DNA 杂交探针的长度会削弱探针-靶标双链体的稳定性,导致互补序列之间的瞬时结合。探针-靶标结合事件的动力学高度依赖于互补碱基对的数量。在这里,我们提出了一种基于瞬时 DNA 结合和全内反射荧光显微镜的点突变检测的单分子检测方法。单分子动力学的统计分析使我们能够在单分子水平上有效地区分野生型 DNA 序列和单核苷酸变体。通过优化实验条件,以伽马分布的动力学统计建模为指导,实现了比我们之前的工作更高的单核苷酸区分度。KRAS c.34A 突变可以在相对丰度低至 0.01%突变体与 WT 的情况下,从野生型序列(KRAS c.34G)中清晰地区分出来。为了证明该方法在分析临床相关生物样本中的可行性,我们使用该技术检测了来自两种癌细胞系的 mRNA 不对称 RT-PCR 产生的单链 DNA 中的突变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f1f/5338343/7524aa911d2b/srep43824-f1.jpg

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