Evidence map›Paper›PMID 38110826›Full record

ArticleJournal of applied genetics2024

Long-run real-time PCR analysis of repetitive nuclear elements as a novel tool for DNA damage quantification in single cells: an approach validated on mouse oocytes and fibroblasts.

Katarzyna Kotarska, Łukasz Gąsior, Joanna Rudnicka, Zbigniew Polański

Open access · hybridAbstract read
In one paragraph

Article in Journal of applied genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Katarzyna KotarskaLaboratory of Genetics and Evolution, Institute of Zoology and Biomedical Research, Department of Biology, Jagiellonian University, Kraków, Poland. katarzyna.kotarska@uj.edu.pl.ORCID http://orcid.org/0000-0003-3235-9475
Łukasz GąsiorLaboratory of Neurobiology of Trace Elements, Department of Neurobiology, Institute of Pharmacology, Polish Academy of Sciences, Kraków, Poland.
Joanna RudnickaMalopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Zbigniew PolańskiLaboratory of Genetics and Evolution, Institute of Zoology and Biomedical Research, Department of Biology, Jagiellonian University, Kraków, Poland.
Jagiellonian University · PLMaj Institute of Pharmacology · PL

Funding

Narodowe Centrum Nauki 2019/03/X/NZ3/00572
6 · The paper itself

Abstract

Since DNA damage is of great importance in various biological processes, its rate is frequently assessed both in research studies and in medical diagnostics. The most precise methods of quantifying DNA damage are based on real-time PCR. However, in the conventional version, they require a large amount of genetic material and therefore their usefulness is limited to multicellular samples. Here, we present a novel approach to long-run real-time PCR-based DNA-damage quantification (L1-LORD-Q), which consists in amplification of long interspersed nuclear elements (L1) and allows for analysis of single-cell genomes. The L1-LORD-Q was compared with alternative methods of measuring DNA breaks (Bioanalyzer system, γ-H2AX foci staining), which confirmed its accuracy. Furthermore, it was demonstrated that the L1-LORD-Q is sensitive enough to distinguish between different levels of UV-induced DNA damage. The method was validated on mouse oocytes and fibroblasts, but the general idea is universal and can be applied to various types of cells and species.

Indexed as

DNA DamageFibroblastsAnimalsGenomeMiceOocytesReal-Time Polymerase Chain ReactionDNA lesionsL1 elementsLORD-Q methodqPCRSingle-cell genome

Identifiers

PMID38110826
PMCPMC10789673
OpenAlexW4389880514

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.