Evidence map›Paper›PMID 31334813›Full record

ArticleNucleic acids research2019

Identification of DNA motifs that regulate DNA methylation.

Mengchi Wang, Kai Zhang, Vu Ngo, Chengyu Liu, Shicai Fan, John W Whitaker, Yue Chen, Rizi Ai, Zhao Chen, Jun Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. DNA methylation of theiScience · 2026
    Article
  3. How to Unmask an Unknown: The Restriction-Modification SystemInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Somatic mutation as an explanation for epigenetic aging.bioRxiv : the preprint server for biology · 2023
    Article
  20. Article
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

12 authors at 3 institutions in 2 countries.

Mengchi WangBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Kai ZhangBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Vu NgoBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Chengyu LiuDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
Shicai FanDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
John W WhitakerDepartment of Genomics, Denovo Biopharma, 10240 Science Center Dr., San Diego, CA, USA.
Yue ChenDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
Rizi AiDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
Zhao ChenDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
Jun WangDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
Lina ZhengBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Wei WangBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
University of California San Diego · USHarbin Institute of Technology · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is an important epigenetic mark but how its locus-specificity is decided in relation to DNA sequence is not fully understood. Here, we have analyzed 34 diverse whole-genome bisulfite sequencing datasets in human and identified 313 motifs, including 92 and 221 associated with methylation (methylation motifs, MMs) and unmethylation (unmethylation motifs, UMs), respectively. The functionality of these motifs is supported by multiple lines of evidence. First, the methylation levels at the MM and UM motifs are respectively higher and lower than the genomic background. Second, these motifs are enriched at the binding sites of methylation modifying enzymes including DNMT3A and TET1, indicating their possible roles of recruiting these enzymes. Third, these motifs significantly overlap with "somatic QTLs" (quantitative trait loci) of methylation and expression. Fourth, disruption of these motifs by mutation is associated with significantly altered methylation level of the CpGs in the neighbor regions. Furthermore, these motifs together with somatic mutations are predictive of cancer subtypes and patient survival. We revealed some of these motifs were also associated with histone modifications, suggesting a possible interplay between the two types of epigenetic modifications. We also found some motifs form feed forward loops to contribute to DNA methylation dynamics.

Indexed as

Base SequenceBinding SitesCpG IslandsDatasets as TopicDNADNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3ADNA, NeoplasmEpigenesis, GeneticHistone CodeHumansKaplan-Meier EstimateMixed Function OxygenasesModels, GeneticNeoplasmsDNADNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNA, NeoplasmDNMT3A protein, humanMixed Function OxygenasesProto-Oncogene ProteinsTET1 protein, human

Identifiers

PMID31334813
PMCPMC6649826
OpenAlexW2955023201

What OpenQuestion holds

Textmetadata
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.