Abstract

Abstract After a decade of NGS technology and workflow innovation, personalized medicine is starting to become a reality. DNA fragmentation is still a critical bottleneck during library preparation. Sonication methods have been the gold standard for consistent fragmentation and uniform GC coverage, but are associated with a high upfront investment, expensive consumables, and are prone to oxidative DNA damage. On the other hand, enzymatic fragmentation methods hold the potential to be scalable, automation-friendly workflows that minimize DNA damage. Yet, typical enzymatic fragmentation methods have been shown to introduce systematic hairpin artifacts, exhibit suboptimal uniformity, and have a narrow range of input mass compatibility. We have developed a novel enzymatic fragmentation-based library preparation technology which, together with our high-fidelity library amplification module, effectively overcomes many of the key limitations of related chemistries. Libraries generated using our workflow reduced chimeric reads and terminal hairpin artifacts 10-fold compared to other enzymatic methods, and reached comparable levels of mechanically sheared DNA controls. Furthermore, we observed consistently even coverage uniformity and low sequence-specific bias for human whole genome sequencing. Fragmentation was tested across a broad sample input range from 100 pg to 500 ng. Library insert sizes were highly tunable from 150 bp to 550 bp and consistent across the input titration. High quality libraries with minimal adapter dimer were prepared from as little as 1 picogram of gDNA by adjusting the post amplification clean up conditions. Taken together, this enzymatic fragmentation and library preparation workflow avoids library preparation artifacts that convolute variant calling, is highly scalable, and suitable for ultra-low input samples. Citation Format: Zane Jaafar, Josh Haimes, Thomas Harrison, Lindsay Peterkin, Martin Ranik, Kristin Scott, Brian A. Kudlow. A novel enzymatic fragmentation library preparation chemistry that greatly reduces sequencing artifacts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2288.

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