Mouse Epigenome Atlas Decodes Two DNA Modifications Across 29 Tissues and Ages
A 265-sample mouse atlas resolves 5mC and 5hmC separately across tissues, ages, and sexes, revealing how both marks jointly define cell identity.
Résumé
Researchers built a comprehensive epigenetic atlas of 29 mouse tissue types by simultaneously mapping two DNA cytosine modifications—5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC)—using a novel bACE array method. Spanning 265 samples from 32 C57BL/6J mice aged 8–76 weeks and both sexes, the atlas shows that 5hmC is negatively correlated with 5mC globally yet adds a distinct, tissue-specific dimension. Brain tissues carry the highest 5hmC, while immune tissues carry the lowest. Critically, 5hmC alone—not just 5mC—can accurately classify tissue identity via machine learning. Age-related changes in both marks also correlate with gene expression in a tissue-dependent manner, opening new avenues for biomarker discovery and understanding epigenetic aging.
Résumé détaillé
DNA cytosine modifications are central to gene regulation and are increasingly used as disease biomarkers. The two most abundant modifications—5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC)—have distinct biological roles but are conflated by the widely used bisulfite sequencing method, which cannot distinguish between them. This study addresses that gap by generating the first large-scale, base-resolution ternary-code atlas (unmodified C, 5mC, and 5hmC) across diverse mouse tissues.
The team applied the bisulfite-assisted APOBEC-Coupled Epigenetic (bACE) conversion strategy to the Infinium Mouse Methylation BeadChip, profiling 265 samples from 29 tissue types collected from 32 C57BL/6J mice spanning 8–76 weeks of age and both sexes. The bACE approach works by splitting bisulfite-converted DNA: one aliquot profiles 5mC+5hmC combined (5modC), and the other undergoes additional APOBEC deamination that selectively deaminates 5mC while leaving bisulfite-converted 5hmC intact, enabling direct 5hmC quantification. A reference interpolation curve corrected for array background, improving concordance with orthogonal sequencing methods (ACE-seq, TAB-seq).
Key findings reveal a complex grammar of 5hmC distribution. Globally, 5hmC ranged from 0.5% in immune tissues (blood, thymus) to 14.6% in neuron-rich brain regions, inversely correlated with 5mC levels. Tissues with similar total modification levels can have dramatically different 5mC-to-5hmC ratios—for instance, subcortical brain and blood share similar total 5modC but diverge markedly in 5hmC content. The distribution of 5hmC is jointly shaped by cell mitotic activity (rapidly dividing cells carry less 5hmC, consistent with its dilution without maintenance methylation), chromatin states, and cis-interactions between neighboring CpG sites. Notably, 5hmC at non-CpG sites (CpH context) was elevated specifically in neuronal tissues at CpA sites.
For tissue identity classification, the atlas demonstrates that 5hmC alone—independent of 5mC—enables high-precision machine learning discrimination of tissue types. Moreover, 5hmC significantly complements 5mC-based biomarkers in distinguishing both brain and non-brain cell identities, suggesting that ternary-code profiling provides a richer molecular fingerprint than 5modC alone. Age-related epigenetic changes in both modifications correlate with tissue-specific gene expression variation, implying that the two marks co-regulate transcriptional programs during aging in a tissue-dependent fashion.
The atlas provides a foundational resource for exploring epigenetic dynamics in development, aging, and disease. Because the mouse C57BL/6J model has a well-characterized genetic background and parallels many human epigenetic phenomena, findings are likely translatable to human biology. The work also expands the potential scope of liquid biopsy and epigenetic clock applications by demonstrating that 5hmC carries independent, actionable biological information.
Principales conclusions
- 5hmC ranged from 0.5% (blood/thymus) to 14.6% (brain cortex) and is negatively correlated with 5mC globally.
- 5hmC distribution is shaped by cell mitotic rate, chromatin state, and neighboring CpG modification status.
- 5hmC alone accurately classifies tissue type via machine learning, independent of 5mC signals.
- Age-related changes in 5mC and 5hmC correlate with gene expression in a tissue-dependent manner.
- bACE array method achieved stronger concordance with ACE-seq than uncorrected bisulfite array data.
Méthodologie
The study used bACE conversion combined with the Infinium Mouse Methylation BeadChip to generate base-resolution ternary methylome profiles from 265 samples across 29 tissue types, both sexes, and ages 8–76 weeks in C57BL/6J mice. A reference interpolation curve corrected array background to enable direct, quantitative 5hmC measurements validated against ACE-seq and TAB-seq.
Limites de l'étude
The atlas is restricted to C57BL/6J inbred mice, limiting direct generalizability to outbred populations or humans. Array-based profiling covers a fixed set of CpGs rather than the whole genome. 5hmC fractions are often low and may still carry residual background noise despite interpolation correction.
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