Cell-type-specific transposon demethylation and TAD remodeling in aging mouse brain
Summary
Aging is a major risk factor for neurodegenerative diseases, yet the underlying epigenetic mechanisms remain unclear. Here, we generated a comprehensive single-nucleus cell atlas of brain aging across multiple brain regions, comprising 132,551 single-cell methylomes and 72,666 joint chromatin conformation-methylome nuclei. Integration with companion transcriptomic and chromatin accessibility data yielded a cross-modality taxonomy of 36 major cell types. We observed that transposable elemen
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# Cell-type-specific transposon demethylation and TAD remodeling in aging mouse brain
*Published: 2026 Apr 2*
Aging is a major risk factor for neurodegenerative diseases, yet the underlying
epigenetic mechanisms remain unclear. Here, we generated a comprehensive
single-nucleus cell atlas of brain aging across multiple brain regions,
comprising 132,551 single-cell methylomes and 72,666 joint chromatin
conformation-methylome nuclei. Integration with companion transcriptomic and
chromatin accessibility data yielded a cross-modality taxonomy of 36 major cell
types. We observed that transposable element (TE) methylation alone
distinguished age groups, showing cell-type-specific genome-wide demethylation.
Chromatin conformation analysis demonstrated age-related increases in
topologically associated domain (TAD) boundary strength with enhanced
accessibility at CCCTC-binding factor (CTCF) binding sites. Spatial
transcriptomics across 895,296 cells revealed regional heterogeneity during
aging within identical cell types. Finally, we developed deep-learning models
that reliably predict age-related gene expression changes using multi-modal
epigenetic features, providing mechanistic insights into gene regulation.
Age-related comparisons use a 2-month baseline reflecting the
late-adolescent/early-young adult stage. This dataset advances our understanding
of brain aging and offers potential translational applications.
DOI: 10.1016/j.cell.2026.02.015