Evidence map›Paper›PMID 31744120›Full record

ArticleGenes2019

A Bi-Exponential Repair Algorithm for Radiation-Induced Double-Strand Breaks: Application to Simulation of Chromosome Aberrations.

Ianik Plante, Tony Slaba, Zarana Shavers, Megumi Hada

Open access · goldAbstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-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

9 citing papers in PubMed, 21 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

4 authors at 3 institutions in 1 country.

Ianik PlanteKBR, 2400 NASA Parkway, Houston, TX 77058, USA.
Tony SlabaNASA Langley Research Center, Hampton, VA 23681, USA.
Zarana ShaversKBR, 2400 NASA Parkway, Houston, TX 77058, USA.
Megumi HadaRadiation Institute for Science & Engineering, Prairie View A&M University, Prairie View, TX 77446, USA.ORCID 0000-0002-8523-9111
KBR (United States) · USLangley Research Center · USPrairie View A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiation induces DNA double-strand breaks (DSBs), and chromosome aberrations (CA) form during the DSBs repair process. Several methods have been used to model the repair kinetics of DSBs including the bi-exponential model, i.e.,

methodsThe bi-exponential repair kinetics model is implemented into a recent simulation code called RITCARD (Radiation Induced Tracks, Chromosome Aberrations, Repair, and Damage). RITCARD simulates the geometric configuration of human chromosomes, radiation-induced breaks, their repair, and the creation of various categories of CAs. The bi-exponential repair relies on a computational algorithm that is shown to be mathematically exact. To categorize breaks as complex or simple, a threshold for the local (voxel) dose was used.

resultsThe main findings are: i) the curves for the kinetics of restitution of DSBs are mostly independent of dose; ii) the fraction of unrepaired breaks increases with the linear energy transfer (LET) of the incident radiation; iii) the simulated dose-response curves for simple reciprocal chromosome exchanges that are linear-quadratic; iv) the alpha coefficient of the dose-response curve peaks at about 100 keV/µm.

Indexed as

Models, GeneticAlgorithmsChromosome AberrationsComputer SimulationDNA Breaks, Double-StrandedDNA RepairDose-Response Relationship, RadiationHumansLinear Energy TransferSoftwarebi-exponentialchromosome aberrationsDNA double-strand breaksionizing radiationrepair kinetics

Identifiers

PMID31744120
PMCPMC6896174
OpenAlexW2982748469

What OpenQuestion holds

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LicenceCC BY
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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.