Profiling Epigenetic Aging at Cell-Type Resolution Through Long-Read Sequencing.

ABSTRACT: DNA methylation can give rise to robust biomarkers of aging, yet most studies profile it at the bulk tissue level, which masks cell type-specific alterations that may follow distinct aging trajectories. Long-read sequencing technology enables methylation profiling of extended DNA fragments, enabling mapping to their cell type of origin. In this study, we introduce a framework for evaluating cell type-specific aging using long-read sequencing data, without the need for cell sorting. Leveraging cell type-specific methylation patterns, we map long-read fragments to individual cell types and generate cell type-specific methylation profiles, which are used as input to a newly developed probabilistic aging model, LongReadAge, capable of predicting epigenetic age at the cell type level. We use Lo

SUBMITTER: Eames A 

PROVIDER: S-EPMC12341782 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature