Evidence map›Paper›PMID 42866948›Full record

ArticleNucleic acids research2026

Genomic sequence context differentially impacts stepwise oxidation by TET enzymes to shape DNA hydroxymethylation landscapes.

Noa Erlitzki, Christian E Loo, Johanna M Fowler, Wanding Zhou, Rahul M Kohli

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Noa ErlitzkiGraduate Group in Biochemistry, Biophysics, and Chemical Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0002-4126-522X
Christian E LooGraduate Group in Biochemistry, Biophysics, and Chemical Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Johanna M FowlerDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Wanding ZhouCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.ORCID 0000-0001-9126-1932
Rahul M KohliDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0002-7689-5678

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007170 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BRASS, LAWRENCE F · 1985 to 2022
$54.0M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM008216 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI EPSTEIN, DOUGLAS J · 1987 to 2023
$8.3M
Decoding Single-cell DNA Methylomes for Epigenetic Cell IdentityR35GM146978 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Wanding Zhou · 2022 to 2026
$2.2M
TET-mediated DNA Demethylation Mechanisms and Epigenome Engineering ApplicationsR01GM158685 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Rahul Manu Kohli · 2025 to 2026
$731k
Mechanisms of DNA Modifying Enzymes and their Applications to Genome TailoringR35GM161917 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Rahul Manu Kohli · 2026 to 2026
$300k
Advancing Epigenetic Sequencing Through Solid-Phase Enzymatic ApproachesF31HG012892 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI LOO, CHRISTIAN ETHAN · 2023 to 2024
$95k
Deciphering and modulating CAR T cell persistence with controllable epigenome editorsF30CA281040 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ERLITZKI, NOA · 2024 to 2025
$79k
Michael S. Brown Physician-Scientist DissertationNCI NIH HHS F30 CA281040NHGRI NIH HHS F31 HG012892NIGMS NIH HHS R01 GM158685NIGMS NIH HHS R01-GM158685NIGMS NIH HHS R35 GM146978NIGMS NIH HHS R35 GM161917NIGMS NIH HHS T32 GM007170NIGMS NIH HHS T32 GM008216NIH HHS F30-CA281040NIH HHS F31-HG012892NIH HHS R01-GM158685NIH HHS R35-GM146978NIH HHS R35-GM161917NIH HHS T32-GM008216NIH HHS T32-GM07170
6 · The paper itself

Abstract

Ten-eleven translocation (TET) enzymes reverse gene silencing imposed by 5-methylcytosine (5mC) in mammalian genomes by catalyzing the stepwise oxidation of 5mC to 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), and 5-carboxycytosine (5caC). 5hmC both acts as an independent epigenetic mark and promotes replication-dependent DNA demethylation by antagonizing maintenance DNA methylation. Oxidation of 5hmC to 5fC/5caC instead marks the committed step in replication-independent DNA demethylation, whereby 5fC/5caC are actively excised and reverted to unmodified cytosine. Although prior work indicates that TET-mediated oxidation is influenced by bases neighboring 5mC, these studies have been unable to resolve more than two of the relevant species-5mC, 5hmC, and 5fC/5caC-at the same time. As 5hmC is the key fulcrum in DNA demethylation, we established a high-throughput enzymology approach to probe these three cytosine states at base resolution simultaneously across hundreds of sites. We reveal distinct context dependencies for 5hmC generation versus decay, with flanking bases differentially impacting 5hmC persistence. Notably, we demonstrate these predictable preferences in duplexed DNA are lost in single-stranded DNA, mechanistically linking these features to TET-mediated base-flipping. Furthermore, analysis of genomic 5hmC patterns uncovers evidence of sequence context bias in cellular 5hmC accumulation, suggesting a role for TET-intrinsic preferences in shaping cellular epigenetic landscapes.

Indexed as

DNA-Binding ProteinsDNA MethylationMixed Function OxygenasesProto-Oncogene Proteins5-MethylcytosineAnimalsCytosineDioxygenasesDNAGenomeHumansOxidation-Reduction5-carboxycytosine5-formylcytosine5-hydroxymethylcytosine5-MethylcytosineCytosineDioxygenasesDNADNA-Binding ProteinsMixed Function OxygenasesProto-Oncogene Proteins

Identifiers

PMID42866948
PMCPMC13659243

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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.