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Abstract

<jats:p>Cell-free DNA (cfDNA) methylation profiling holds great promise for non-invasive cancer detection, yet accurate methylome analysis is compromised by DNA damage inherent to cfDNA. Standard library preparation workflows involve an end-repair step during which DNA polymerases can initiate synthesis from single-strand breaks (nicks), replacing endogenous methylated nucleotides with unmethylated nucleotides in the 3′ direction and systematically erasing methylation information. This artifact is distinct from the terminal jagged-end effect and disproportionately affects cfDNA and FFPE DNA, which harbor abundant nicks. Here, we developed cf-Cabernet, which builds upon the Cabernet framework (Cao et al., 2023) — an enzymatic methylation sequencing method featuring carrier DNA-assisted sample recovery and amplification-friendly post-conversion processing — with the addition of a Taq DNA ligase-mediated nick repair step prior to end repair. Using matched cfDNA samples, we compared cf-Cabernet against standard EM-seq and WGBS. cf-Cabernet and EM-seq both substantially outperformed WGBS in alignment rate. Critically, while standard EM-seq exhibited globally reduced methylation levels compared to WGBS, cf-Cabernet yielded methylation levels concordant with WGBS. M-bias analysis revealed that EM-seq libraries showed persistently depressed methylation across the entire read length, whereas cf-Cabernet methylation recovered to the WGBS baseline beyond the terminal ~40 bp jagged-end region. Nick-induced methylation erasure during end repair is a significant but previously underappreciated source of error in cfDNA methylation sequencing. cf-Cabernet effectively mitigates this artifact through pre-emptive nick ligation, enabling accurate methylome profiling from damaged DNA templates. This method is broadly applicable to cfDNA, FFPE DNA, and other clinical specimens where DNA integrity is compromised, providing a robust foundation for methylation-based liquid biopsy applications.</jats:p>

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Keywords

methylation cfdna cfcabernet wgbs emseq

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