Evidence map›Paper›PMID 41231856›Full record

ArticlePloS one2025

Simultaneous quantification of rDNA methylation and copy number: Constraints to natural variation in humans and cell lines.

Stephen Flint Smith, Bernardo Lemos

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Stephen Flint SmithDepartment of Pharmacology and Toxicology, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona, United States of America.ORCID https://orcid.org/0000-0002-0920-120X
Bernardo LemosDepartment of Pharmacology and Toxicology, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona, United States of America.ORCID https://orcid.org/0000-0001-6996-9483

Funding

TRANSPORT OF TRACE METALS IN A POLLUTED AQUIFERP42ES004940 · NIEHS · UNIVERSITY OF ARIZONA · PI Jon D Chorover · 1990 to 2026
$68.1M
NIEHS NIH HHS P42 ES004940
6 · The paper itself

Abstract

Ribosomal DNA (rDNA) copy number (CN) varies widely both across and within species. In humans, it has been hypothesized that rDNA transcriptional activity is partially regulated by rDNA methylation status. Here we describe a rapid and scalable approach for the simultaneous detection of methylated and unmethylated rDNA copy number using a well characterized digital PCR technology. The linear range for detecting rDNA CN and methylation is from 0.3 ng to 20 ng DNA with a practical range from 1.25 to 15 ng DNA and can be normalized with a single copy gene, ACTB, to reflect copies per genome. Our approach detects 28S rDNA methylation using a modified methyl-specific/bisulfite PCR targeting a region with at least four CpGs. In a population of healthy donors, we observed wide variation in both methylated and unmethylated rDNA CN, as well as in the percentage of methylated rDNA copies. We found significant correlations between the total rDNA CN and both methylated rDNA CN and percent methylated rDNA CN. Individuals with a greater number of rDNA copies had more methylated copies and a higher percentage of methylated copies. The methylated rDNA CN percentage varied widely across individuals and ranged from 9% to 69% of the total rDNA copies being methylated. Finally, four human cell lines (BEAS-2B, HeLa, MCF-7, MDA-MB-231) also displayed wide differences in methylated and unmethylated rDNA CN. Overall, this method provides a new tool to study the relationship between rDNA CN and methylation while offering insight into rDNA methylation variability and the regulation of active rDNA copies.

Indexed as

DNA Copy Number VariationsDNA MethylationDNA, RibosomalCell LineCpG IslandsHumansPolymerase Chain ReactionDNA, Ribosomal

Identifiers

PMID41231856
PMCPMC12614545

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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.