Evidence map›Paper›PMID 20518659›Full record

ArticleRadiation research2010

Cell cycle dependence of ionizing radiation-induced DNA deletions and antioxidant radioprotection in Saccharomyces cerevisiae.

Kurt Hafer, Leena Rivina, Robert H Schiestl

Abstract read
In one paragraph

Article in Radiation research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Modulation of the nanoscale motion rate ofFrontiers in microbiology · 2023
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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

3 authors at 1 institution in 1 country.

Kurt HaferDepartments of Radiation Oncology, Pathology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA.
Leena Rivina
Robert H Schiestl
University of California, Los Angeles · US

Funding

UCLA Center for Biological RadioprotectorsU19AI067769 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCBRIDE, WILLIAM H. · 2005 to 2019
$44.6M
NIAID NIH HHS 1 U19 AI 67769-01NIAID NIH HHS U19 AI067769
6 · The paper itself

Abstract

The yeast DEL assay is an effective method for measuring intrachromosomal recombination events resulting in DNA deletions that when occurring in mammalian cells are often associated with genomic instability and carcinogenesis. Here we used the DEL assay to measure gamma-ray-induced DNA deletions throughout different phases of yeast culture growth. Whereas yeast survival differed by only up to twofold throughout the yeast growth phase, proliferating cells in lag and early exponential growth phases were tenfold more sensitive to ionizing radiation-induced DNA deletions than cells in stationary phase. Radiation-induced DNA deletion potential was found to correlate directly with the fraction of cells in S/G(2) phase. The ability of the antioxidants l-ascorbic acid and DMSO to protect against radiation-induced DNA deletions was also measured within the different phases of yeast culture growth. Yeast cells in lag and early exponential growth phases were uniquely protected by antioxidant treatment, whereas nondividing cells in stationary phase could not be protected against the induction of DNA deletions. These results are compared with those from mammalian cell studies, and the implications for radiation-induced carcinogenesis and radioprotection are discussed.

Indexed as

Gene DeletionAntioxidantsCell CycleDNA, FungalDose-Response Relationship, RadiationRadiation-Protective AgentsSaccharomyces cerevisiaeX-RaysAntioxidantsDNA, FungalRadiation-Protective Agents

Identifiers

PMID20518659
PMCPMC3873222
OpenAlexW2150752308

What OpenQuestion holds

Textmetadata
LicenceTDM
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.