Evidence map›Paper›PMID 39187542›Full record

ArticleScientific reports2024

Multiwell-based G0-PCC assay for radiation biodosimetry.

Ekaterina Royba, Igor Shuryak, Brian Ponnaiya, Mikhail Repin, Sergey Pampou, Charles Karan, Helen Turner, Guy Garty, David J Brenner

Abstract read
In one paragraph

Article in Scientific reports, 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
–field-weighted citation impact
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.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ekaterina RoybaCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA. er2889@cumc.columbia.edu.
Igor ShuryakCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Brian PonnaiyaRadiological Research Accelerator Facility, Columbia University, Irvington, NY, 10533, USA.
Mikhail RepinCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Sergey PampouColumbia Genome Center High-Throughput Screening Facility, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Charles KaranColumbia Genome Center High-Throughput Screening Facility, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Helen TurnerCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Guy GartyCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA.
David J BrennerCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AMUNDSON, SALLY A. · 2005 to 2024
$105.4M
NIAID NIH HHS U19 AI067773NIH HHS U19-AI067773
6 · The paper itself

Abstract

In major radiological events, rapid assays to detect ionizing radiation exposure are crucial for effective medical interventions. The purpose of these assays is twofold: to categorize affected individuals into groups for initial treatments, and to provide definitive dose estimates for continued care and epidemiology. However, existing high-throughput cytogenetic biodosimetry assays take about 3 days to yield results, which delays critical interventions. We have developed a multiwell-based variant of the chemical-induced G0-phase Premature Chromosome Condensation Assay that delivers same-day results. Our findings revealed that using a concentration of phosphatase inhibitor lower than recommended significantly increases the yield of cells with highly condensed chromosomes. These chromosomes exhibited increased fragmentation in a dose-dependent manner, enabling to quantify radiation damage using a custom Deep Learning algorithm. This algorithm demonstrated reasonable performance in categorizing doses into distinct treatment groups (84% and 80% accuracy for three and four iso-treatment dose bins, respectively) and showed reliability in determining the actual doses received (correlation coefficient of 0.879). This method is amendable to full automation and has the potential to address the need for same-day, high-throughput cytogenetic test for both dose categorization and dose reconstruction in large-scale radiation emergencies.

Indexed as

RadiometryBiological AssayDose-Response Relationship, RadiationHigh-Throughput Screening AssaysHumansRadiation, IonizingBiodosimetryDeep learningPremature chromosome condensation

Identifiers

PMID39187542
PMCPMC11347619

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.