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一种用于液体活检中检测缺失突变并直接定量突变丰度的自动读取探针系统。

An Auto-Reading probe system for detecting deletion mutations In liquid biopsy with direct quantification of mutation abundance.

作者信息

Zhu Bang, Zhou Jingcong, He Hong, Liao Yangwei, Li Qiaolin

机构信息

Department of Gastrointestinal Surgery, The First Affiliated Hospital of Yangtze University, Jingzhou, 434023, China.

Southern Medical University, Guangzhou, 510515, China.

出版信息

Heliyon. 2024 Jul 31;10(16):e35530. doi: 10.1016/j.heliyon.2024.e35530. eCollection 2024 Aug 30.

Abstract

BACKGROUND

Deletion mutations have been confirmed to be closely related to the occurrence and progression of different hereditary diseases and tumors. Specifically, the deletion of a small number of bases is more challenging to be captured and differentiated. In non-invasive prenatal testing (NIPT) and liquid biopsy targeting circulating tumor DNA, obtaining accurate mutation abundance in targeted DNA is a crucial step in the detection process. However, the quantification of mutation abundance with existing methods is not accurate enough.

RESULTS

Herein, we developed the " Auto-Reading" probe detection system based on our previous work. Through theoretical modeling and experimental calculations, we verified the successful application of our system in NIPT and early cancer diagnosis, enabling effective discrimination of different mutant abundances.

SIGNIFICANCE

Our method overcomes the interference of reaction concentrations on signal detection, allowing direct quantification of mutation abundance without the need for purification of PCR products. The detection system is cost-effective and feasible for laboratory use. We believe the system will facilitate broad applications in mutation detection.

摘要

背景

缺失突变已被证实与不同遗传性疾病和肿瘤的发生及进展密切相关。具体而言,少数碱基的缺失更难被捕获和区分。在无创产前检测(NIPT)和针对循环肿瘤DNA的液体活检中,获取靶向DNA中准确的突变丰度是检测过程中的关键步骤。然而,用现有方法对突变丰度进行定量还不够准确。

结果

在此,我们基于之前的工作开发了“自动读取”探针检测系统。通过理论建模和实验计算,我们验证了该系统在NIPT和早期癌症诊断中的成功应用,能够有效区分不同的突变丰度。

意义

我们的方法克服了反应浓度对信号检测的干扰,无需纯化PCR产物即可直接定量突变丰度。该检测系统具有成本效益且适用于实验室使用。我们相信该系统将促进其在突变检测中的广泛应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a044/11365318/003fbc09b838/ga1.jpg

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