Evidence map›Paper›PMID 18762900›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2008

DNA methyltransferase 3B mutant in ICF syndrome interacts non-covalently with SUMO-1.

Jinah Park, Tae-You Kim, Yeonjoo Jung, Sang-Hyun Song, Sung-Hak Kim, Do-Youn Oh, Seock-Ah Im, Yung-Jue Bang

Abstract read
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In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Jinah ParkNational Research Laboratory for Cancer Epigenetics, Cancer Research Institute, Seoul, Korea.
Tae-You Kim
Yeonjoo Jung
Sang-Hyun Song
Sung-Hak Kim
Do-Youn Oh
Seock-Ah Im
Yung-Jue Bang
Seoul National University · KRNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations of the DNA methyltransferase 3B (DNMT3B) gene have been detected in patients with immunodeficiency, centromere instability, and facial anomalies (ICF) syndrome. Most of these mutations are clustered in its catalytic domain and thus lead to defective DNA methylation. Nevertheless, the S270P mutation in the N-terminal PWWP (Pro-Trp-Trp-Pro) domain of the DNMT3B gene has prompted questions as to how this mutation contributes to the development of ICF syndrome. In this study, we found that wild-type DNMT3B is SUMOylated through covalent modification, whereas the S270P mutant interacts with SUMO-1 via non-covalent interaction. The S270P mutation results in diffuse nucleus localization. Moreover, the S270P mutant fails to interact with PIAS1, a small ubiquitin-related modifier (SUMO) E3 ligase, and causes the constitutive activation of nuclear factor-kappa B, which induces the expression of interleukin 8. Collectively, our data demonstrate that the S270P mutation affects DNMT3B functions via specific, non-covalent interaction with SUMO-1.

Indexed as

Chromosomal InstabilityCell Line, TumorCell NucleusCentromereCraniofacial AbnormalitiesDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BFaceHumansImmunologic Deficiency SyndromesInterleukin-8NF-kappa BPoint MutationPromoter Regions, GeneticProtein BindingProtein Inhibitors of Activated STATDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BInterleukin-8NF-kappa BPIAS1 protein, humanProtein Inhibitors of Activated STATSmall Ubiquitin-Related Modifier ProteinsSUMO-1 ProteinTranscription Factors

Identifiers

PMID18762900
OpenAlexW2158236998

What OpenQuestion holds

Textmetadata
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.