Abstract
Abstract In the pursuit of advancing multi-cancer early detection, the exploration of cell-free DNA (cfDNA) through methylation profiling has emerged as a promising avenue. However, the realization of its full potential is impeded by limitations inherent in conventional methodologies, notably the 'gold standard' bisulfite conversion methods. These approaches pose challenges such as DNA destruction and the generation of low-complexity sequences resulting from the conversion of unmethylated cytosines to thymine. TET Assisted Pyridine-Borane Sequencing (TAPS) holds the potential as a non-destructive, rapid, and scalable alternative for base-level methylation analysis. In this context, we introduce TET Assisted Pyridine-Borane Sequencing version 1.0 (TAPS v1.0), showcasing advancements to the technology originally introduced by Schuster-Böckler, Song, and their collaborators. TAPS v1.0 transforms 5mC into dihydrouracil (DHU) through a series of oxidation and reduction reactions. Ultimately, DHU is recognized as dU during PCR resulting in C-to-T conversions at 5mC sites, leaving unmethylated cytosines, the majority of cytosines, unchanged. The nondestructive nature of 5mC conversion yields significantly higher library yield and complexity compared to BS-seq. By leveraging Watchmaker's proprietary polymerase evolution platform, a DNA polymerase tolerant to DHU was selected for library amplification post DHU conversion, enabling unimpeded detection of 5mC, particularly in densely packed CpG repeats. Coupled with an optimized End Repair and A-tailing chemistry preceding TAPS v1.0, clinically relevant cfDNA samples of low quality and/or quantity can be analyzed in methylation detection pipelines. To evaluate the performance of TAPS v1.0, human genomic DNA with control spike-ins featuring varying methylation statuses were employed. TAPS v1.0 exhibited significantly higher final library yield and greater complexity compared to BS-seq. Similar outcomes were observed in clinically relevant cfDNA samples. Citation Format: Josh Haimes, Craig Marshall, Travis Sanders, Sam Vogel, Martin Ranik, Eduard Casas, Doug Wendel, Leo Karamanof, Bjarne Faurholme, Abre de Beer, Lee French, Ross Wadsworth, Kristina Giordia, Eric van der Walt, Brian Kudlow. Advancing methylation analysis: TAPS v1.0: A fast, scalable, and non-destructive sequencing method [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7025.
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