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商业自动化文库制备系统在临床微生物全基因组测序中的性能评估。

Performance Evaluation of a Commercial Automated Library Preparation System for Clinical Microbial Whole-Genome Sequencing Assays.

机构信息

Department of Pathology and Laboratory Medicine, UCLA Health and David Geffen School of Medicine, Los Angeles, California.

Department of Pathology and Laboratory Medicine, UCLA Health and David Geffen School of Medicine, Los Angeles, California.

出版信息

J Mol Diagn. 2024 Aug;26(8):719-726. doi: 10.1016/j.jmoldx.2024.05.006. Epub 2024 Jun 6.

DOI:10.1016/j.jmoldx.2024.05.006
PMID:38851385
Abstract

Next-generation sequencing (NGS) has proven clinical utility on disease management and serves as an important tool for genomic surveillance. Currently, hurdles surrounding its implementation, namely the complex and demanding analytical workflows, have impeded its widespread use in many laboratories. To address this challenge, the UCLA Molecular Microbiology and Pathogen Genomics Laboratory evaluated the performance of the Tecan MagicPrep NGS system, a commercial automated solution for library preparation for clinical whole-genome sequencing assays, against the Illumina Nextera DNA Flex Library Prep. Using 35 unique organisms (28 bacteria and 7 fungi) for various clinical applications, including microbial identification and genomic characterization, we compared the quantity and quality of the prepared libraries and the resulting sequences, and concordance of the overall results. We also assessed the impact of its implementation on laboratory workflow. The MagicPrep NGS produced higher library concentrations with smaller sizes, and correspondingly, higher molarity. Quality metrics of the sequences, however, demonstrated no significant impact on the overall results, producing 100% concordance with the reference method. Importantly, workflow analysis showed 5 hours less hands-on time per run with more flexibility. This evaluation study indicates that performance of the MagicPrep NGS is comparable to the Nextera DNA Flex with the added benefit of improving workflow efficiency and reducing labor for performing routine clinical microbial whole-genome sequencing tests.

摘要

下一代测序(NGS)已被证明在疾病管理方面具有临床应用价值,并且是基因组监测的重要工具。目前,其实施所面临的障碍,即复杂且要求苛刻的分析工作流程,阻碍了其在许多实验室中的广泛应用。为了应对这一挑战,加州大学洛杉矶分校分子微生物学和病原体基因组学实验室评估了 Tecan MagicPrep NGS 系统的性能,该系统是一种用于临床全基因组测序分析的文库制备的商业化自动化解决方案,与 Illumina Nextera DNA Flex 文库制备试剂盒进行了对比。我们使用了 35 种独特的生物体(28 种细菌和 7 种真菌),用于各种临床应用,包括微生物鉴定和基因组特征分析,比较了文库制备的数量和质量以及产生的序列,以及整体结果的一致性。我们还评估了其实施对实验室工作流程的影响。MagicPrep NGS 产生的文库浓度更高,大小更小,相应地摩尔浓度更高。然而,序列的质量指标对整体结果没有显著影响,与参考方法的一致性达到 100%。重要的是,工作流程分析表明,每个运行的手动操作时间减少了 5 小时,并且具有更高的灵活性。这项评估研究表明,MagicPrep NGS 的性能与 Nextera DNA Flex 相当,并且具有提高工作流程效率和减少进行常规临床微生物全基因组测序测试的劳动力的额外优势。

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