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一种高通量液滴数字 PCR 系统,旨在针对 8 个 DNA 甲基化靶标进行年龄预测。

A high-throughput droplet digital PCR system aiming eight DNA methylation targets for age prediction.

机构信息

Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.

Laboratory of Molecular Translational Medicine, West China Second University Hospital, Sichuan University, China.

出版信息

J Pharm Biomed Anal. 2024 Mar 15;240:115943. doi: 10.1016/j.jpba.2023.115943. Epub 2023 Dec 27.

DOI:10.1016/j.jpba.2023.115943
PMID:38181558
Abstract

The droplet digital Polymerase Chain Reaction (ddPCR) has garnered recognition for its distinctive attribute of absolute quantification. And it has found practical utility in age prediction through DNA methylation profiles. However, a prevalent limitation in current ddPCR methodologies is the restricted capacity to detect only two targets concurrently in most instruments, leading to high costs, sample wastage, and labor-intensive procedures. To address the limitations, a novel high-throughput ddPCR system allowing for the simultaneous detection of eight targets was developed. Through the implementation of a new 8-plex ddPCR assay, coupled with comprehensive linear regression analyses involving primers and probes ratios, diverse inputs of single CpG sites with distinct primers and probes, and varying plex assay configurations, stable DNA methylation values for four CpGs and stable measurement precisions for distinct multiplex systems were consistently observed. These findings pave the way for advancing the field of chemistry science by enabling more efficient and cost-effective methods. Furthermore, the comparative validation of ddPCR and SNaPshot demonstrated a remarkable concordance in results, and the system also displayed well in the field of various aspects, including species specificity, DNA input, and aged samples. In this study, the recommended input of bisulfite-converted DNA was determined to be 10-50 ng due to the double-positive droplets. Notably, the Pearson correlation coefficient squared values of four CpGs were 0.4878 (ASPA), 0.4832 (IGSF1), 0.6881 (COL1A1), and 0.6475 (MEIS1-AS3). And the testing set exhibited a mean absolute error of 4.5923 years, indicating the robustness and accuracy of the age-predictive model.

摘要

数字聚合酶链反应(ddPCR)因其绝对定量的独特属性而受到认可。它已通过 DNA 甲基化谱在年龄预测中得到实际应用。然而,目前 ddPCR 方法的一个普遍局限性是,大多数仪器一次只能检测到两个靶标,导致成本高、样品浪费和劳动密集型程序。为了解决这些限制,开发了一种新的高通量 ddPCR 系统,允许同时检测 8 个靶标。通过实施新的 8 重 ddPCR 测定法,并结合涉及引物和探针比的综合线性回归分析,不同输入的具有不同引物和探针的单个 CpG 位点以及不同的 plex 测定配置,始终观察到四个 CpG 的稳定 DNA 甲基化值和不同多重系统的稳定测量精度。这些发现为推进化学科学领域铺平了道路,使方法更加高效和经济。此外,ddPCR 和 SNaPshot 的比较验证表明结果非常一致,该系统在多个方面也表现良好,包括物种特异性、DNA 输入和老化样本。在这项研究中,由于双阳性液滴,确定推荐的亚硫酸氢盐转化 DNA 输入为 10-50 ng。值得注意的是,四个 CpG 的 Pearson 相关系数平方值分别为 0.4878(ASPA)、0.4832(IGSF1)、0.6881(COL1A1)和 0.6475(MEIS1-AS3)。测试集的平均绝对误差为 4.5923 年,表明年龄预测模型的稳健性和准确性。

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引用本文的文献

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Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis.结合新型集成模型和多重甲基化SNaPshot分析进行唾液年龄预测和跨平台数据分析。
BMC Genomics. 2025 May 30;26(1):546. doi: 10.1186/s12864-025-11713-8.