Evidence map›Paper›PMID 32471981›Full record

ArticleNature communications2020

A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity.

Paul Adrian Ginno, Dimos Gaidatzis, Angelika Feldmann, Leslie Hoerner, Dilek Imanci, Lukas Burger, Frederic Zilbermann, Antoine H F M Peters, Frank Edenhofer, Sébastien A Smallwood and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% of its field
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

87 citing papers in PubMed, 1 synthesis or guideline pooled it, 199 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Epigenetic regulation in a high-sugar environment (Review).International journal of molecular medicine · 2026
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27 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 2 countries.

Paul Adrian Ginno *Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.ORCID http://orcid.org/0000-0002-9864-9427
Dimos Gaidatzis *Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Angelika Feldmann *Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Leslie HoernerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Dilek ImanciFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Lukas BurgerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.ORCID http://orcid.org/0000-0001-5596-7567
Frederic ZilbermannFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Antoine H F M PetersFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Frank EdenhoferLeopold-Franzens-University Innsbruck & CMBI, Innsbruck, Austria.
Sébastien A SmallwoodFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Arnaud R KrebsFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Dirk SchübelerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland. dirk@fmi.ch.ORCID http://orcid.org/0000-0002-9229-2228
Friedrich Miescher Institute · CHSIB Swiss Institute of Bioinformatics · CHUniversity of Basel · CHNovartis (Switzerland) · CHUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is considered a stable epigenetic mark, yet methylation patterns can vary during differentiation and in diseases such as cancer. Local levels of DNA methylation result from opposing enzymatic activities, the rates of which remain largely unknown. Here we developed a theoretical and experimental framework enabling us to infer methylation and demethylation rates at 860,404 CpGs in mouse embryonic stem cells. We find that enzymatic rates can vary as much as two orders of magnitude between CpGs with identical steady-state DNA methylation. Unexpectedly, de novo and maintenance methylation activity is reduced at transcription factor binding sites, while methylation turnover is elevated in transcribed gene bodies. Furthermore, we show that TET activity contributes substantially more than passive demethylation to establishing low methylation levels at distal enhancers. Taken together, our work unveils a genome-scale map of methylation kinetics, revealing highly variable and context-specific activity for the DNA methylation machinery.

Indexed as

DNA DemethylationAnimalsBinding SitesCell LineChromosome MappingCpG IslandsDioxygenasesDNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3ADNA Methyltransferase 3BEpigenesis, GeneticGenomeHistonesDioxygenasesDNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNA Methyltransferase 3BDnmt1 protein, mouseHistonesProto-Oncogene ProteinsTET1 protein, mouseTet2 protein, mouseTet3 protein, mouseTranscription Factors

Identifiers

PMID32471981
PMCPMC7260214
OpenAlexW3031159512

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.