Evidence map›Paper›PMID 34222326›Full record

ArticleFrontiers in molecular biosciences2021

Analysis of Methylation Dynamics Reveals a Tissue-Specific, Age-Dependent Decline in 5-Methylcytosine Within the Genome of the Vertebrate Aging Model

Gordin Zupkovitz, Julijan Kabiljo, Michael Kothmayer, Katharina Schlick, Christian Schöfer, Sabine Lagger, Oliver Pusch

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Skeletal Muscle Aging: Lessons From Teleosts.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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 4 institutions in 1 country.

Gordin ZupkovitzCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Julijan KabiljoCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Michael KothmayerCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Katharina SchlickCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Christian SchöferCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Sabine LaggerUnit of Laboratory Animal Pathology, University of Veterinary Medicine Vienna, Vienna, Austria.
Oliver PuschCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATAustrian Competence Centre of Food Safety · ATComprehensive Cancer Center Vienna · ATUniversity of Veterinary Medicine Vienna · AT

Funding

Austrian Science Fund FWF P 30642
6 · The paper itself

Abstract

Erosion of the epigenetic DNA methylation landscape is a widely recognized hallmark of aging. Emerging advances in high throughput sequencing techniques, in particular DNA methylation data analysis, have resulted in the establishment of precise human and murine age prediction tools. In vertebrates, methylation of cytosine at the C5 position of CpG dinucleotides is executed by DNA methyltransferases (DNMTs) whereas the process of enzymatic demethylation is highly dependent on the activity of the ten-eleven translocation methylcytosine dioxygenase (TET) family of enzymes. Here, we report the identification of the key players constituting the DNA methylation machinery in the short-lived teleost aging model

Indexed as

African turquoise killifishagingDNA hydroxymethylationDNA methylationepigenetic aging clockepigeneticsNothobranchius furzeri

Identifiers

PMID34222326
PMCPMC8242171
OpenAlexW3167896875

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.