Evidence map›Paper›PMID 20889711›Full record

ReviewGenes & development2010

Cytidine deaminases: AIDing DNA demethylation?

Eric L Fritz, F Nina Papavasiliou

Open access · diamondAbstract readReview
In one paragraph

Review in Genes & development, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–field-weighted citation impact
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

62 citing papers in PubMed, 122 citations in OpenAlex.

  1. Deaminase Modulation Driving a New Era in Drug Development.International journal of molecular sciences · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
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  12. Article
  13. DNA methylation in development and disease: an overview for prostate researchers.American journal of clinical and experimental urology · 2018
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Principles Governing DNA Methylation during Neuronal Lineage and Subtype Specification.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Eric L FritzLaboratory of Lymphocyte Biology, The Rockefeller University, New York, New York 10065, USA.
F Nina Papavasiliou
Rockefeller University · US

Funding

The Regulation of Somatic HypermutationR01CA098495 · NCI · ROCKEFELLER UNIVERSITY · PI PAPAVASILIOU, F. NINA · 2003 to 2012
$2.5M
NCI NIH HHS CA098495NCI NIH HHS R01 CA098495
6 · The paper itself

Abstract

The presence of 5-methylcytosine (5-mC) in DNA is a vital epigenetic mark in vertebrates. While the enzymes responsible for methylating DNA in vertebrates have been identified, the means by which this mark can be removed are still unclear. Recently, it has been shown that activation-induced cytidine deaminase (AID) contributes to the demethylation of DNA in certain systems. This enzyme has been intensely studied in its role as a key driver of antibody diversification in B cells, but recent observations from early development in zebrafish and mice as well as heterokaryons point to a role beyond immunology. This review takes stock of the reports linking AID and related deaminases to DNA demethylation, and describes the many important questions left to be answered in this field.

Indexed as

DNA MethylationAICDA (Activation-Induced Cytidine Deaminase)AnimalsCytidine DeaminaseEpigenesis, GeneticHumansAICDA (Activation-Induced Cytidine Deaminase)Cytidine Deaminase

Identifiers

PMID20889711
PMCPMC2947763
OpenAlexW2018309119

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.