Evidence map›Paper›PMID 33105482›Full record

ArticleNucleic acids research2020

Complex DNA sequence readout mechanisms of the DNMT3B DNA methyltransferase.

Michael Dukatz, Sabrina Adam, Mahamaya Biswal, Jikui Song, Pavel Bashtrykov, Albert Jeltsch

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  10. Review
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  12. The MECP2-TRD domain interacts with the DNMT3A-ADD domain at the H3-tail binding site.Protein science : a publication of the Protein Society · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Enzymology of Mammalian DNA Methyltransferases.Advances in experimental medicine and biology · 2022
    Article
  19. Article
  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

6 authors at 2 institutions in 2 countries.

Michael DukatzInstitute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Sabrina AdamInstitute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Mahamaya BiswalDepartment of Biochemistry, University of California, Riverside, CA 92521, USA.
Jikui SongDepartment of Biochemistry, University of California, Riverside, CA 92521, USA.
Pavel BashtrykovInstitute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Albert JeltschInstitute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
University of Stuttgart · DEUniversity of California, Riverside · US

Funding

Mechanistic Insights into Mammalian DNA MethylationR35GM119721 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Jikui Song · 2016 to 2026
$5.3M
NIGMS NIH HHS R35 GM119721
6 · The paper itself

Abstract

DNA methyltransferases interact with their CpG target sites in the context of variable flanking sequences. We investigated DNA methylation by the human DNMT3B catalytic domain using substrate pools containing CpX target sites in randomized flanking context and identified combined effects of CpG recognition and flanking sequence interaction together with complex contact networks involved in balancing the interaction with different flanking sites. DNA methylation rates were more affected by flanking sequences at non-CpG than at CpG sites. We show that T775 has an essential dynamic role in the catalytic mechanism of DNMT3B. Moreover, we identify six amino acid residues in the DNA-binding interface of DNMT3B (N652, N656, N658, K777, N779, and R823), which are involved in the equalization of methylation rates of CpG sites in favored and disfavored sequence contexts by forming compensatory interactions to the flanking residues including a CpG specific contact to an A at the +1 flanking site. Non-CpG flanking preferences of DNMT3B are highly correlated with non-CpG methylation patterns in human cells. Comparison of the flanking sequence preferences of human and mouse DNMT3B revealed subtle differences suggesting a co-evolution of flanking sequence preferences and cellular DNMT targets.

Indexed as

Base SequenceCatalytic DomainCpG IslandsDNADNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3BHumansProtein BindingDNADNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3B

Identifiers

PMID33105482
PMCPMC7672481
OpenAlexW3093891626

What OpenQuestion holds

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LicenceCC BY-NC
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.