Department of Chemical Engineering , Virginia Tech , Blacksburg , Virginia 24061 , United States.
Anal Chem. 2020 Feb 4;92(3):2519-2526. doi: 10.1021/acs.analchem.9b04086. Epub 2020 Jan 14.
Advances in next-generation sequencing (NGS) have made available a wealth of information that had previously been inaccessible to researchers and clinicians. NGS has been applied to understand genomic, transcriptomic, and epigenomic changes and gained traction as a significant tool capable of accelerating diagnosis, prognosis, and biomarker discovery. However, these NGS assays have yet to be practical methods for patient stratification or diagnosis because of the gap between the tiny quantities of biomaterials provided by a clinical sample and the large DNA input required by most of these assays. Current library preparation methodologies typically require large input amounts of DNA and a long and complicated manual process. Here, we present a microfluidic droplet-based system for NGS library preparation, capable of reducing the number of pipetting steps significantly, reducing reagent consumption by 10×, and automating much of the process, while supporting an extremely low DNA input requirement (10 pg per library). This semiautomated technology will allow for low-input preparations of 8 libraries simultaneously while reducing batch-to-batch variation and operator hands-on time.
下一代测序(NGS)的进步使得大量以前无法获取的信息可用于研究人员和临床医生。NGS 已被应用于了解基因组、转录组和表观基因组的变化,并成为一种能够加速诊断、预后和生物标志物发现的重要工具。然而,由于临床样本提供的生物材料数量很少,而大多数这些检测方法都需要大量的 DNA 输入,因此这些 NGS 检测方法还不能用于患者分层或诊断。目前的文库制备方法通常需要大量的 DNA 输入,并且过程冗长而复杂。在这里,我们提出了一种基于微流控液滴的 NGS 文库制备系统,能够显著减少移液步骤的数量,减少 10 倍的试剂消耗,并实现大部分过程的自动化,同时支持极低的 DNA 输入要求(每个文库 10 pg)。这种半自动化技术将允许同时制备 8 个低输入文库,同时减少批间差异和操作人员的手工操作时间。