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一种自动化、高通量的方法,优化了从血浆中定量分离无细胞线粒体和核 DNA。

An automated, high-throughput methodology optimized for quantitative cell-free mitochondrial and nuclear DNA isolation from plasma.

机构信息

Center for Metabolism and Mitochondrial Medicine, Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Optimize Laboratory Consultants, LLC, Lansdale, Pennsylvania, USA.

出版信息

J Biol Chem. 2020 Nov 13;295(46):15677-15691. doi: 10.1074/jbc.RA120.015237. Epub 2020 Sep 8.

Abstract

Progress in the study of circulating, cell-free nuclear DNA (ccf-nDNA) in cancer detection has led to the development of noninvasive clinical diagnostic tests and has accelerated the evaluation of ccf-nDNA abundance as a disease biomarker. Likewise, circulating, cell-free mitochondrial DNA (ccf-mtDNA) is under similar investigation. However, optimal ccf-mtDNA isolation parameters have not been established, and inconsistent protocols for ccf-nDNA collection, storage, and analysis have hindered its clinical utility. Until now, no studies have established a method for high-throughput isolation that considers both ccf-nDNA and ccf-mtDNA. We initially optimized human plasma digestion and extraction conditions for maximal recovery of these DNAs using a magnetic bead-based isolation method. However, when we incorporated this method onto a high-throughput platform, initial experiments found that DNA isolated from identical human plasma samples displayed plate edge effects resulting in low ccf-mtDNA reproducibility, whereas ccf-nDNA was less affected. Therefore, we developed a detailed protocol optimized for both ccf-mtDNA and ccf-nDNA recovery that uses a magnetic bead-based isolation process on an automated 96-well platform. Overall, we calculate an improved efficiency of recovery of ∼95-fold for ccf-mtDNA and 20-fold for ccf-nDNA when compared with the initial procedure. Digestion conditions, liquid-handling characteristics, and magnetic particle processor programming all contributed to increased recovery without detectable positional effects. To our knowledge, this is the first high-throughput approach optimized for ccf-mtDNA and ccf-nDNA recovery and serves as an important starting point for clinical studies.

摘要

在癌症检测中循环无细胞核 DNA(ccf-nDNA)研究的进展促使非侵入性临床诊断测试得以开发,并加速了对 ccf-nDNA 丰度作为疾病生物标志物的评估。同样,循环无细胞线粒体 DNA(ccf-mtDNA)也在进行类似的研究。然而,尚未确定最佳的 ccf-mtDNA 分离参数,并且 ccf-nDNA 收集、储存和分析的不一致方案也阻碍了其临床应用。到目前为止,还没有研究建立一种同时考虑 ccf-nDNA 和 ccf-mtDNA 的高通量分离方法。我们最初使用基于磁珠的分离方法优化了人类血浆消化和提取条件,以最大程度地回收这些 DNA。然而,当我们将该方法整合到高通量平台上时,最初的实验发现,从相同的人类血浆样本中分离的 DNA 显示出边缘效应,导致 ccf-mtDNA 重现性低,而 ccf-nDNA 的影响较小。因此,我们开发了一种详细的协议,该协议针对 ccf-mtDNA 和 ccf-nDNA 的回收进行了优化,在自动化 96 孔平台上使用基于磁珠的分离过程。总体而言,与初始程序相比,我们计算出 ccf-mtDNA 的回收率提高了约 95 倍,ccf-nDNA 的回收率提高了 20 倍。消化条件、液体处理特性和磁颗粒处理器编程都有助于提高回收率,而不会产生可检测的位置效应。据我们所知,这是优化用于 ccf-mtDNA 和 ccf-nDNA 回收的第一个高通量方法,为临床研究提供了重要的起点。

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