Evidence map›Paper›PMID 22761581›Full record

ArticlePLoS genetics2012

In vivo control of CpG and non-CpG DNA methylation by DNA methyltransferases.

Julia Arand, David Spieler, Tommy Karius, Miguel R Branco, Daniela Meilinger, Alexander Meissner, Thomas Jenuwein, Guoliang Xu, Heinrich Leonhardt, Verena Wolf and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 222 papers.

0numbers the graph read from it
0cells of the map it votes in
222citing papers in PubMed
15.2field-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

222 citing papers in PubMed, 385 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Differentiation of mtDNA Methylation in Tissues of Ridgetail White Prawn,Animals : an open access journal from MDPI · 2025
    Article
  11. Review
  12. Review
  13. Article
  14. Modeling DNA methyltransferase function to predict epigenetic correlation patterns in healthy and cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Cytosine methylase and hydroxymethylase activity in mammalian mitochondria.Frontiers in cell and developmental biology · 2025
    Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

162 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

Julia ArandDepartment of Biological Sciences, Institute of Genetics/Epigenetics, University of Saarland, Saarbrücken, Germany.
David Spieler
Tommy Karius
Miguel R Branco
Daniela Meilinger
Alexander Meissner
Thomas Jenuwein
Guoliang Xu
Heinrich Leonhardt
Verena Wolf
Jörn Walter
Saarland University · DEChinese Academy of Sciences · CNHarvard University · USLudwig-Maximilians-Universität München · DEMax Planck Institute of Neurobiology · DEMax Planck Society · DEUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The enzymatic control of the setting and maintenance of symmetric and non-symmetric DNA methylation patterns in a particular genome context is not well understood. Here, we describe a comprehensive analysis of DNA methylation patterns generated by high resolution sequencing of hairpin-bisulfite amplicons of selected single copy genes and repetitive elements (LINE1, B1, IAP-LTR-retrotransposons, and major satellites). The analysis unambiguously identifies a substantial amount of regional incomplete methylation maintenance, i.e. hemimethylated CpG positions, with variant degrees among cell types. Moreover, non-CpG cytosine methylation is confined to ESCs and exclusively catalysed by Dnmt3a and Dnmt3b. This sequence position-, cell type-, and region-dependent non-CpG methylation is strongly linked to neighboring CpG methylation and requires the presence of Dnmt3L. The generation of a comprehensive data set of 146,000 CpG dyads was used to apply and develop parameter estimated hidden Markov models (HMM) to calculate the relative contribution of DNA methyltransferases (Dnmts) for de novo and maintenance DNA methylation. The comparative modelling included wild-type ESCs and mutant ESCs deficient for Dnmt1, Dnmt3a, Dnmt3b, or Dnmt3a/3b, respectively. The HMM analysis identifies a considerable de novo methylation activity for Dnmt1 at certain repetitive elements and single copy sequences. Dnmt3a and Dnmt3b contribute de novo function. However, both enzymes are also essential to maintain symmetrical CpG methylation at distinct repetitive and single copy sequences in ESCs.

Indexed as

MethylationAnimalsCell LineCpG IslandsCytosineDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3ADNA Methyltransferase 3BEmbryonic Stem CellsEpigenesis, GeneticMiceRepetitive Sequences, Nucleic AcidCytosineDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNA Methyltransferase 3BDnmt3a protein, mouseDnmt3l protein, mouse

Identifiers

PMID22761581
PMCPMC3386304
OpenAlexW2032700279

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.