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基于热力学分析构建的错配引入 DNA 探针可用于区分单核苷酸变体。

Mismatch-introduced DNA probes constructed on the basis of thermodynamic analysis enable the discrimination of single nucleotide variants.

机构信息

School of Integrative Engineering, Chung-Ang University, Seoul, 06974, South Korea.

出版信息

Anal Bioanal Chem. 2022 Jul;414(18):5337-5345. doi: 10.1007/s00216-021-03708-7. Epub 2021 Oct 11.

Abstract

Genotyping of single nucleotide variants (SNVs) has enabled the assessment of disease-related risk factors and significantly improved the potency of diagnosis and prognosis. Meanwhile, genotyping of SNVs is challenging due to the high sequence similarity between wild-type (WT) and SNV. To increase the discrimination between WT and SNV, probes are modified with nucleic acid analogues such as locked nucleic acid (LNA), or deliberate mismatches are introduced to the probe sequence. However, nucleic acid analogues have limitation in high cost and complexity in their synthesis. And a generalized methodology has not been proposed for determining the position and type of deliberate mismatches at the designated experimental conditions to the best of our knowledge. Herein, we propose a reliable workflow for designing mismatch-introduced probes (MIPs) based on nucleic acid thermodynamic analysis and rejection sampling. The theoretical hybridization state of MIP was calculated using nucleic acid thermodynamics, and the detectability was estimated by rejection sampling that simulates the errors from experimental environments. We fabricated MIPs for SNVs in epidermal growth factor receptor, and experimentally demonstrated optimized detectability. The detectability increased up to 7.19-fold depending on the position and type of mismatch; moreover, the optimized MIP showed higher detectability than the LNA probe. This indicates that the workflow can be broadly applied to the optimization of probe sequence for the detection of various disease-related SNVs.

摘要

单核苷酸变异(SNV)的基因分型使评估疾病相关的风险因素成为可能,并显著提高了诊断和预后的效力。同时,由于野生型(WT)和 SNV 之间的序列高度相似,SNV 的基因分型具有挑战性。为了提高 WT 和 SNV 之间的区分度,探针被修饰为核酸类似物,如锁核酸(LNA),或者在探针序列中故意引入错配。然而,核酸类似物在成本和合成复杂性方面存在限制。据我们所知,尚未提出一种通用的方法来确定在指定实验条件下故意错配的位置和类型。在此,我们提出了一种基于核酸热力学分析和拒绝采样的设计错配引入探针(MIP)的可靠工作流程。使用核酸热力学计算 MIP 的理论杂交状态,并通过模拟实验环境误差的拒绝采样来估计可检测性。我们针对表皮生长因子受体中的 SNV 制造了 MIP,并进行了实验验证,结果表明其具有优化的可检测性。可检测性取决于错配的位置和类型,最高可增加 7.19 倍;此外,优化后的 MIP 显示出比 LNA 探针更高的可检测性。这表明该工作流程可以广泛应用于优化用于检测各种疾病相关 SNV 的探针序列。

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