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用于质粒DNA多重序列验证和混合文库解复用的阵列条形码技术。

Arrayed barcoding for multiplexed sequence verification of plasmid DNA and demultiplexing of pooled libraries.

作者信息

Li Weiyi, Miller Darach, Liu Xianan, Tosi Lorenzo, Chkaiban Lamia, Mei Han, Hung Po-Hsiang, Parekkadan Biju, Sherlock Gavin, Levy Sasha F

机构信息

SLAC National Accelerator Laboratory, Stanford University, Stanford, CA, USA.

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.

出版信息

bioRxiv. 2023 Oct 18:2023.10.13.562064. doi: 10.1101/2023.10.13.562064.

Abstract

Sequence verification of plasmid DNA is critical for many cloning and molecular biology workflows. To leverage high-throughput sequencing, several methods have been developed that add a unique DNA barcode to individual samples prior to pooling and sequencing. However, these methods require an individual plasmid extraction and/or barcoding reaction for each sample processed, limiting throughput and adding cost. Here, we develop an arrayed plasmid barcoding platform that enables pooled plasmid extraction and library preparation for Oxford Nanopore sequencing. This method has a high accuracy and recovery rate, and greatly increases throughput and reduces cost relative to other plasmid barcoding methods or Sanger sequencing. We use barcoding to sequence verify >45,000 plasmids and show that the method can be used to transform error-containing dispersed plasmid pools into sequence-perfect arrays or well-balanced pools. barcoding does not require any specialized equipment beyond a low-overhead Oxford Nanopore sequencer, enabling most labs to flexibly process hundreds to thousands of plasmids in parallel.

摘要

质粒DNA的序列验证对于许多克隆和分子生物学工作流程至关重要。为了利用高通量测序技术,人们开发了几种方法,即在混合和测序之前为单个样本添加独特的DNA条形码。然而,这些方法需要对每个处理的样本进行单独的质粒提取和/或条形码反应,这限制了通量并增加了成本。在这里,我们开发了一种阵列式质粒条形码平台,该平台能够进行混合质粒提取和用于牛津纳米孔测序的文库制备。与其他质粒条形码方法或桑格测序相比,该方法具有较高的准确性和回收率,大大提高了通量并降低了成本。我们使用条形码对超过45,000个质粒进行序列验证,并表明该方法可用于将含错误的分散质粒库转化为序列完美的阵列或平衡良好的库。条形码技术除了需要一台成本较低的牛津纳米孔测序仪外,不需要任何专门设备,这使得大多数实验室能够灵活地并行处理数百至数千个质粒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4562/10592806/bd9628aa66c9/nihpp-2023.10.13.562064v2-f0001.jpg

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