Evidence map›Paper›PMID 41057935›Full record

ArticleGenome biology2025

A ternary-code DNA methylome atlas of mouse tissues.

Sol Moe Lee, David C Goldberg, Cameron Cloud, Jared B Parker, Christopher Krapp, Christian E Loo, Elliot Kim, Ivan Zhao, Chengcheng Jin, Rishi Porecha and 3 more

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sol Moe LeeCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
David C GoldbergCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Cameron CloudCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Jared B ParkerDepartment of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Christopher KrappDepartment of Cell and Developmental Biology, Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Christian E LooGraduate Group in Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Elliot KimCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Ivan ZhaoCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Chengcheng JinDepartment of Cancer Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Rishi PorechaIllumina, Inc., San Diego, CA, 92122, USA.
Marisa S BartolomeiDepartment of Cell and Developmental Biology, Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Rahul M KohliDepartment of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. rkohli@pennmedicine.upenn.edu.
Wanding ZhouCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. wanding.zhou@pennmedicine.upenn.edu.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
Ultra low-input epigenetic sequencing with combined enzymatic and long-read technologiesR01HG010646 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Gang Fang, Rahul Manu Kohli · 2019 to 2026
$3.9M
Decoding Single-cell DNA Methylomes for Epigenetic Cell IdentityR35GM146978 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Wanding Zhou · 2022 to 2026
$2.2M
NHGRI NIH HHS R01 HG010646NIEHS NIH HHS P30 ES013508NIGMS NIH HHS R35 GM146978NIH HHS R01-HG010646NIH HHS R35-GM146978
6 · The paper itself

Abstract

backgroundDNA cytosine modifications, including 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), are key epigenetic regulators with distinct functions. Dissecting the ternary code (C, 5mC, 5hmC) across tissues and cell types remains a critical priority due to the limitations of traditional profiling methods based on bisulfite conversion.

resultsHere, we leverage the combined bisulfite and enzymatic (bACE) conversion with the Mouse Methylation BeadChip to generate 265 base-resolution ternary-code modification maps of 5mC and 5hmC across 29 mouse tissue types spanning 8-76 weeks of age and both sexes. Our atlas reveals a complex grammar of 5hmC distribution, jointly shaped by cell mitotic activity, chromatin states, and interplay with 5mC at the same and neighboring CpG sites. Of note, we demonstrate that 5hmC significantly complements 5mC-based biomarkers in delineating cell identity in both brain and non-brain tissues. Each modification state, including 5hmC alone, accurately discriminates tissue types, enabling high-precision machine learning classification of epigenetic identity. Furthermore, the ternary methylome variations extensively implicate gene transcriptional variation, with age-related changes correlated with gene expression in a tissue-dependent manner.

conclusionsOur work reveals how tissue, sex, and age jointly govern the dynamics of the two cytosine modifications, augments the scope of DNA modification biomarker discovery, and provides a reference atlas to explore epigenetic dynamics in development and disease.

Indexed as

5-MethylcytosineDNA MethylationEpigenomeAge FactorsAnimalsBiomarkersCpG IslandsEpigenesis, GeneticFemaleMaleMiceMice, Inbred C57BLOrgan SpecificitySex Factors5-hydroxymethylcytosine5-MethylcytosineBiomarkersAgingCell identityDNA methylationEpigeneticsHydroxymethylationMouseTranscription regulation

Identifiers

PMID41057935
PMCPMC12506328

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.