Evidence map›Paper›PMID 37970467›Full record

ArticleaBIOTECH2023

DNA methylation-dependent epigenetic regulation of

Yun-Ya Chen, Chen Zhu, Jian-Hua Zhao, Ting Liu, Feng Gao, Ying-Chao Zhang, Cheng-Guo Duan

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in aBIOTECH, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Systematic Analysis of DNA Demethylase Gene Families in Foxtail Millet (International journal of molecular sciences · 2024
    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

7 authors at 3 institutions in 1 country.

Yun-Ya Chen *Shanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Science, Shanghai, 200032 China.
Chen Zhu *Shanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Science, Shanghai, 200032 China.
Jian-Hua ZhaoUniversity of Chinese Academy of Sciences, Beijing, 100049 China.
Ting LiuShanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Science, Shanghai, 200032 China.
Feng GaoQilu Zhongke Academy of Modern Microbiology Technology, Jinan, 250000 China.
Ying-Chao ZhangShanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Science, Shanghai, 200032 China.
Cheng-Guo DuanShanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Science, Shanghai, 200032 China.ORCID 0000-0003-0527-5866
Center for Excellence in Molecular Plant Sciences · CNChinese Academy of Sciences · CNQilu University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a conserved epigenetic mark, DNA cytosine methylation, at the 5' position (5-mC), plays important roles in multiple biological processes, including plant immunity. However, the involvement of DNA methylation in the determinants of virulence of phytopathogenic fungi remains elusive. In this study, we profiled the DNA methylation patterns of the phytopathogenic fungus Supplementary Information: The online version contains supplementary material available at 10.1007/s42994-023-00117-5.

Indexed as

DNA methylationH3K9me3PathogenicityVerticillium dahliae

Identifiers

PMID37970467
PMCPMC10638132
OpenAlexW4386889612

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.