Evidence map›Paper›PMID 32531879›Full record

ArticleInternational journal of molecular sciences2020

Large-Scale Image Analysis for Investigating Spatio-Temporal Changes in Nuclear DNA Damage Caused by Nitrogen Atmospheric Pressure Plasma Jets.

Xu Han, James Kapaldo, Yueying Liu, M Sharon Stack, Elahe Alizadeh, Sylwia Ptasinska

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Plasma Biology.International journal of molecular sciences · 2021
    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

6 authors at 2 institutions in 2 countries.

Xu HanRadiation Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA.
James KapaldoRadiation Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0001-6471-1715
Yueying LiuHarper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA.
M Sharon StackHarper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA.
Elahe AlizadehQueen's CardioPulmonary Unit (QCPU), Department of Medicine, Queen's University, Kingston, ON K7L 3J9, Canada.ORCID 0000-0003-4046-1226
Sylwia PtasinskaRadiation Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0002-7550-8189
University of Notre Dame · USQueen's University · CA

Funding

Receptor Cross-Talk in Early Metastatic DisseminationR01CA109545 · NCI · UNIVERSITY OF NOTRE DAME · PI STACK, MARY SHARON · 2006 to 2022
$4.3M
NCI NIH HHS R01 CA109545U.S. Department of Energy DE-FC02-04ER15533
6 · The paper itself

Abstract

The effective clinical application of atmospheric pressure plasma jet (APPJ) treatments requires a well-founded methodology that can describe the interactions between the plasma jet and a treated sample and the temporal and spatial changes that result from the treatment. In this study, we developed a large-scale image analysis method to identify the cell-cycle stage and quantify damage to nuclear DNA in single cells. The method was then tested and used to examine spatio-temporal distributions of nuclear DNA damage in two cell lines from the same anatomic location, namely the oral cavity, after treatment with a nitrogen APPJ. One cell line was malignant, and the other, nonmalignant. The results showed that DNA damage in cancer cells was maximized at the plasma jet treatment region, where the APPJ directly contacted the sample, and declined radially outward. As incubation continued, DNA damage in cancer cells decreased slightly over the first 4 h before rapidly decreasing by approximately 60% at 8 h post-treatment. In nonmalignant cells, no damage was observed within 1 h after treatment, but damage was detected 2 h after treatment. Notably, the damage was 5-fold less than that detected in irradiated cancer cells. Moreover, examining damage with respect to the cell cycle showed that S phase cells were more susceptible to DNA damage than either G1 or G2 phase cells. The proposed methodology for large-scale image analysis is not limited to APPJ post-treatment applications and can be utilized to evaluate biological samples affected by any type of radiation, and, more so, the cell-cycle classification can be used on any cell type with any nuclear DNA staining.

Indexed as

DNA DamageAtmospheric PressureCell CycleCell Line, TumorCell NucleusDNA Breaks, Double-StrandedEquipment DesignHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedKeratinocytesMachine LearningNitrogenPhosphorylationPlasma GasesSpatio-Temporal AnalysisNitrogenPlasma Gasesatmospheric pressure plasma jetscancer treatmentcellular imaginglarge-scale imagingmachine learning

Identifiers

PMID32531879
PMCPMC7312173
OpenAlexW3034430501

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.