Evidence map›Paper›PMID 32581223›Full record

ArticleNature communications2020

Identification of distinct loci for de novo DNA methylation by DNMT3A and DNMT3B during mammalian development.

Masaki Yagi, Mio Kabata, Akito Tanaka, Tomoyo Ukai, Sho Ohta, Kazuhiko Nakabayashi, Masahito Shimizu, Kenichiro Hata, Alexander Meissner, Takuya Yamamoto and 1 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 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

11 authors at 7 institutions in 3 countries.

Masaki Yagi *Division of Stem Cell Pathology, Center for Experimental Medicine and Systems Biology, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan.
Mio Kabata *Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507, Japan.
Akito TanakaDepartment of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507, Japan.
Tomoyo UkaiDivision of Stem Cell Pathology, Center for Experimental Medicine and Systems Biology, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan.
Sho OhtaDivision of Stem Cell Pathology, Center for Experimental Medicine and Systems Biology, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan.
Kazuhiko NakabayashiDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, 157-8535, Japan.
Masahito ShimizuDepartment of Gastroenterology/Internal Medicine, Gifu University Graduate School of Medicine, Gifu, 501-1194, Japan.
Kenichiro HataDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, 157-8535, Japan.
Alexander MeissnerDepartment of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.ORCID http://orcid.org/0000-0001-8646-7469
Takuya YamamotoDepartment of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507, Japan. takuya@cira.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-0022-3947
Yasuhiro YamadaDivision of Stem Cell Pathology, Center for Experimental Medicine and Systems Biology, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan. yasu@ims.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-2463-1478
Kyoto University · JPNational Center For Child Health and Development · JPSystems Biology Institute · JPBroad Institute · USGifu University · JPMassachusetts General Hospital · USTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo establishment of DNA methylation is accomplished by DNMT3A and DNMT3B. Here, we analyze de novo DNA methylation in mouse embryonic fibroblasts (2i-MEFs) derived from DNA-hypomethylated 2i/L ES cells with genetic ablation of Dnmt3a or Dnmt3b. We identify 355 and 333 uniquely unmethylated genes in Dnmt3a and Dnmt3b knockout (KO) 2i-MEFs, respectively. We find that Dnmt3a is exclusively required for de novo methylation at both TSS regions and gene bodies of Polycomb group (PcG) target developmental genes, while Dnmt3b has a dominant role on the X chromosome. Consistent with this, tissue-specific DNA methylation at PcG target genes is substantially reduced in Dnmt3a KO embryos. Finally, we find that human patients with DNMT3 mutations exhibit reduced DNA methylation at regions that are hypomethylated in Dnmt3 KO 2i-MEFs. In conclusion, here we report a set of unique de novo DNA methylation target sites for both DNMT3 enzymes during mammalian development that overlap with hypomethylated sites in human patients.

Indexed as

DNA MethylationAnimalsCell DifferentiationCells, CulturedDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNA Methyltransferase 3BEpigenetic RepressionFemaleHumansMiceMouse Embryonic Stem CellsMutationOrgan SpecificityPolycomb-Group ProteinsTranscription Initiation SiteDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNA Methyltransferase 3BDNMT3A protein, humanDnmt3a protein, mousePolycomb-Group Proteins

Identifiers

PMID32581223
PMCPMC7314859
OpenAlexW3037673772

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.