Evidence map›Paper›PMID 23394161›Full record

ArticleBMC pharmacology & toxicology2013

3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models.

Arkadiusz Gertych, Jin Ho Oh, Kolja A Wawrowsky, Daniel J Weisenberger, Jian Tajbakhsh

Open access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Arkadiusz GertychTranslational Cytomics Group, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Jin Ho Oh
Kolja A Wawrowsky
Daniel J Weisenberger
Jian Tajbakhsh
Cedars-Sinai Medical Center · USUniversity of Southern California · US

Funding

High-Content Image Analysis of Global DNA Methylation Patterns for Drug ScreeningR21CA143618 · NCI · CEDARS-SINAI MEDICAL CENTER · PI GERTYCH, ARKADIUSZ · 2010 to 2011
$379k
NCI NIH HHS 1R21CA143618-01A1NCI NIH HHS R21 CA143618
6 · The paper itself

Abstract

backgroundThe spatial organization of the genome is being evaluated as a novel indicator of toxicity in conjunction with drug-induced global DNA hypomethylation and concurrent chromatin reorganization. 3D quantitative DNA methylation imaging (3D-qDMI) was applied as a cell-by-cell high-throughput approach to investigate this matter by assessing genome topology through represented immunofluorescent nuclear distribution patterns of 5-methylcytosine (MeC) and global DNA (4,6-diamidino-2-phenylindole = DAPI) in labeled nuclei.

methodsDifferential progression of global DNA hypomethylation was studied by comparatively dosing zebularine (ZEB) and 5-azacytidine (AZA). Treated and untreated (control) human prostate and liver cancer cells were subjected to confocal scanning microscopy and dedicated 3D image analysis for the following features: differential nuclear MeC/DAPI load and codistribution patterns, cell similarity based on these patterns, and corresponding differences in the topology of low-intensity MeC (LIM) and low in intensity DAPI (LID) sites.

resultsBoth agents generated a high fraction of similar MeC phenotypes across applied concentrations. ZEB exerted similar effects at 10-100-fold higher drug concentrations than its AZA analogue: concentration-dependent progression of global cytosine demethylation, validated by measuring differential MeC levels in repeat sequences using MethyLight, and the concurrent increase in nuclear LIM densities correlated with cellular growth reduction and cytotoxicity.

conclusions3D-qDMI demonstrated the capability of quantitating dose-dependent drug-induced spatial progression of DNA demethylation in cell nuclei, independent from interphase cell-cycle stages and in conjunction with cytotoxicity. The results support the notion of DNA methylation topology being considered as a potential indicator of causal impacts on chromatin distribution with a conceivable application in epigenetic drug toxicology.

Indexed as

DNA Methylation5-MethylcytosineAntibodies, MonoclonalAntineoplastic AgentsApoptosisAzacitidineCell Line, TumorCell SurvivalCytidineHumansLiver NeoplasmsMalePhenotypeProstatic Neoplasms5-MethylcytosineAntibodies, MonoclonalAntineoplastic AgentsAzacitidineCytidinepyrimidin-2-one beta-ribofuranoside

Identifiers

PMID23394161
PMCPMC3598242
OpenAlexW2018031963

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Registered trials

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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.