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Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis
The combination of automatic image acquisition and automatic image analysis of premature chromosome condensation (PCC) spreads was tested as a rapid biodosimeter protocol. Human peripheral lymphocytes were irradiated with (60)Co gamma rays in a single dose of between 1 and 20 Gy, stimulated with phy...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4202288/ https://www.ncbi.nlm.nih.gov/pubmed/24789085 http://dx.doi.org/10.1093/jrr/rru030 |
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author | González, Jorge E. Romero, Ivonne Gregoire, Eric Martin, Cécile Lamadrid, Ana I. Voisin, Philippe Barquinero, Joan-Francesc GarcÍa, Omar |
author_facet | González, Jorge E. Romero, Ivonne Gregoire, Eric Martin, Cécile Lamadrid, Ana I. Voisin, Philippe Barquinero, Joan-Francesc GarcÍa, Omar |
author_sort | González, Jorge E. |
collection | PubMed |
description | The combination of automatic image acquisition and automatic image analysis of premature chromosome condensation (PCC) spreads was tested as a rapid biodosimeter protocol. Human peripheral lymphocytes were irradiated with (60)Co gamma rays in a single dose of between 1 and 20 Gy, stimulated with phytohaemaglutinin and incubated for 48 h, division blocked with Colcemid, and PCC-induced by Calyculin A. Images of chromosome spreads were captured and analysed automatically by combining the Metafer 4 and CellProfiler platforms. Automatic measurement of chromosome lengths allows the calculation of the length ratio (LR) of the longest and the shortest piece that can be used for dose estimation since this ratio is correlated with ionizing radiation dose. The LR of the longest and the shortest chromosome pieces showed the best goodness-of-fit to a linear model in the dose interval tested. The application of the automatic analysis increases the potential use of the PCC method for triage in the event of massive radiation causalities. |
format | Online Article Text |
id | pubmed-4202288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42022882014-10-23 Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis González, Jorge E. Romero, Ivonne Gregoire, Eric Martin, Cécile Lamadrid, Ana I. Voisin, Philippe Barquinero, Joan-Francesc GarcÍa, Omar J Radiat Res Biology The combination of automatic image acquisition and automatic image analysis of premature chromosome condensation (PCC) spreads was tested as a rapid biodosimeter protocol. Human peripheral lymphocytes were irradiated with (60)Co gamma rays in a single dose of between 1 and 20 Gy, stimulated with phytohaemaglutinin and incubated for 48 h, division blocked with Colcemid, and PCC-induced by Calyculin A. Images of chromosome spreads were captured and analysed automatically by combining the Metafer 4 and CellProfiler platforms. Automatic measurement of chromosome lengths allows the calculation of the length ratio (LR) of the longest and the shortest piece that can be used for dose estimation since this ratio is correlated with ionizing radiation dose. The LR of the longest and the shortest chromosome pieces showed the best goodness-of-fit to a linear model in the dose interval tested. The application of the automatic analysis increases the potential use of the PCC method for triage in the event of massive radiation causalities. Oxford University Press 2014-09 2014-04-30 /pmc/articles/PMC4202288/ /pubmed/24789085 http://dx.doi.org/10.1093/jrr/rru030 Text en © The Author 2014. Published by Oxford University Press on behalf of The Japan Radiation Research Society and Japanese Society for Radiation Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Biology González, Jorge E. Romero, Ivonne Gregoire, Eric Martin, Cécile Lamadrid, Ana I. Voisin, Philippe Barquinero, Joan-Francesc GarcÍa, Omar Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis |
title | Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis |
title_full | Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis |
title_fullStr | Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis |
title_full_unstemmed | Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis |
title_short | Biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (PCC) method applying autocapture and automatic image analysis |
title_sort | biodosimetry estimation using the ratio of the longest:shortest length in the premature chromosome condensation (pcc) method applying autocapture and automatic image analysis |
topic | Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4202288/ https://www.ncbi.nlm.nih.gov/pubmed/24789085 http://dx.doi.org/10.1093/jrr/rru030 |
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