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Methylation pseudotime analysis for label-free profiling of the temporal chromatin landscape with long-read sequencing

Trinh, A.; Akhtar, N.; Bonsu, K.; Laszik, N.; Mendelevich, A.; Wen, T.; Morival, J. L. P.; Diune, K. E.; Frazeur, M.; Vega, J. E.; Gimelbrant, A.; Read, E. L.; Downing, T. L.

2025-03-11 genomics
10.1101/2025.03.03.641287 bioRxiv
Show abstract

Faithful epigenetic inheritance across cell divisions is essential to maintaining cell identity and involves numerous epigenetic modifications, whose roles in establishing chromatin architecture are less understood. Technological approaches to temporally order epigenetic modifications throughout the cell cycle often face limitations in sequence resolution and rely on potentially damaging mitotic labeling or conversion steps. Herein, we present Methylation Pseudotime Analysis Through read-level Heterogeneity (MPATH), a label- and conversion-free method to infer post-replication DNA strand maturity from methylation patterns across single molecules. We use MPATH to temporally order hydroxymethylation throughout mitotic inheritance, revealing that CpGs within cis-regulatory elements undergo transitions between methylation states at sub-cell-cycle timescales. When applied to long reads generated by NOMe-seq, MPATH uncovered relationships between nucleosome occupancy and DNA maturity. Finally, extension of MPATH to phased reads reveals allele-specific trends in pseudotime distribution associated with X chromosome activity. Our findings suggest that when coupled with multimodal sequencing strategies, MPATH could provide valuable insights into chromatin restoration dynamics.

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