Evidence map›Paper›PMID 33227819›Full record

ArticleBlood2021

A natural DNMT1 mutation elevates the fetal hemoglobin level via epigenetic derepression of the γ-globin gene in β-thalassemia.

Yi Gong, Xinhua Zhang, Qianqian Zhang, Yanxia Zhang, Yuhua Ye, Wenxia Yu, Congwen Shao, Tizhen Yan, Jin Huang, Jianmei Zhong and 4 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Blood, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. New Gene Therapy Strategy for β-Thalassemia.Stem cell reviews and reports · 2026
    Review
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  3. Review
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  20. Negative regulation ofTranslational pediatrics · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Yi GongDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Xinhua ZhangDepartment of Hematology, 923rd Hospital of the People's Liberation Army, Nanning, Guangxi, China.
Qianqian ZhangDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Yanxia ZhangDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Yuhua YeDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Wenxia YuSchool of Life Science and Technology, Shanghai Tech University, Shanghai, China.
Congwen ShaoDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Tizhen YanLiuzhou Key Laboratory of Birth Defects Prevention and Control, Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China.
Jin HuangDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Jianmei ZhongDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Li WangDepartment of Pediatrics, 923rd Hospital of the People's Liberation Army, Nanning, Guangxi, China; and.
Yaoyun LiDepartment of Pediatrics, 923rd Hospital of the People's Liberation Army, Nanning, Guangxi, China; and.
Liren WangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Xiangmin XuDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Key Laboratory of Guangdong Province · CN303 Hospital of People's Liberation Army · CNLiuzhou Maternal and Child Health Hospital · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methyltransferase 1 (DNMT1) is a major epigenetic regulator of the formation of large macromolecular complexes that repress human γ-globin expression by maintaining DNA methylation. However, very little is known about the association of DNMT1 variants with β-thalassemia phenotypes. We systematically investigated associations between variants in DNMT1 and phenotypes in 1142 β-thalassemia subjects and identified a novel missense mutation (c.2633G>A, S878F) in the DNMT1 bromo-adjacent homology-1 (BAH1) domain. We functionally characterized this mutation in CD34+ cells from patients and engineered HuDEP-2 mutant cells. Our results demonstrate that DNMT1 phosphorylation is abrogated by substituting serine with phenylalanine at position 878, resulting in lower stability and catalytic activity loss. S878F mutation also attenuated DNMT1 interactions with BCL11A, GATA1, and HDAC1/2, and reduced recruitment of DNMT1 to the γ-globin (HBG) promoters, leading to epigenetic derepression of γ-globin expression. By analyzing the F-cell pattern, we demonstrated that the effect of DNMT1 mutation on increased fetal hemoglobin (HbF) is heterocellular. Furthermore, introduction of S878F mutation into erythroid cells by clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9) recapitulated γ-globin reactivation. Thus, the natural S878F DNMT1 mutation is a novel modulator of HbF synthesis and represents a potential new therapeutic target for β-hemoglobinopathies.

Indexed as

beta-ThalassemiaCell LineDNA (Cytosine-5-)-Methyltransferase 1Epigenesis, GeneticFetal Hemoglobingamma-GlobinsHumansModels, MolecularMutationUp-RegulationDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanFetal Hemoglobingamma-Globins

Identifiers

PMID33227819
OpenAlexW3106748520

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.