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Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata
BACKGROUND: Alpha particle irradiation from radon progeny is one of the major natural sources of effective dose in the public population. Oncogenic transformation is a biological effectiveness of radon progeny alpha particle hits. The biological effects which has caused by exposure to radon, were th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cancer Research Center, Shahid Beheshti University of Medical Sciences
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142958/ https://www.ncbi.nlm.nih.gov/pubmed/25250147 |
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author | Baradaran, Samaneh Maleknasr, Niaz Setayeshi, Saeed Akbari, Mohammad Esmaeil |
author_facet | Baradaran, Samaneh Maleknasr, Niaz Setayeshi, Saeed Akbari, Mohammad Esmaeil |
author_sort | Baradaran, Samaneh |
collection | PubMed |
description | BACKGROUND: Alpha particle irradiation from radon progeny is one of the major natural sources of effective dose in the public population. Oncogenic transformation is a biological effectiveness of radon progeny alpha particle hits. The biological effects which has caused by exposure to radon, were the main result of a complex series of physical, chemical, biological and physiological interactions. The cellular and molecular mechanisms for radon-induced carcinogenesis have not been clear yet. METHODS: Various biological models, including cultured cells and animals, have been found useful for studying the carcinogenesis effects of radon progeny alpha particles. In this paper, sugars cape cellular automata have been presented for computational study of complex biological effect of radon progeny alpha particles in lung bronchial airways. The model has included mechanism of DNA damage, which has been induced alpha particles hits, and then formation of transformation in the lung cells. Biomarkers were an objective measure or evaluation of normal or abnormal biological processes. In the model, the metabolism rate of infected cell has been induced alpha particles traversals, as a biomarker, has been followed to reach oncogenic transformation. RESULTS: The model results have successfully validated in comparison with “in vitro oncogenic transformation data” for C3H 10T1/2 cells. This model has provided an opportunity to study the cellular and molecular changes, at the various stages in radiation carcinogenesis, involving human cells. CONCLUSION: It has become well known that simulation could be used to investigate complex biomedical systems, in situations where traditional methodologies were difficult or too costly to employ. |
format | Online Article Text |
id | pubmed-4142958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Cancer Research Center, Shahid Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-41429582014-09-23 Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata Baradaran, Samaneh Maleknasr, Niaz Setayeshi, Saeed Akbari, Mohammad Esmaeil Iran J Cancer Prev Original Article BACKGROUND: Alpha particle irradiation from radon progeny is one of the major natural sources of effective dose in the public population. Oncogenic transformation is a biological effectiveness of radon progeny alpha particle hits. The biological effects which has caused by exposure to radon, were the main result of a complex series of physical, chemical, biological and physiological interactions. The cellular and molecular mechanisms for radon-induced carcinogenesis have not been clear yet. METHODS: Various biological models, including cultured cells and animals, have been found useful for studying the carcinogenesis effects of radon progeny alpha particles. In this paper, sugars cape cellular automata have been presented for computational study of complex biological effect of radon progeny alpha particles in lung bronchial airways. The model has included mechanism of DNA damage, which has been induced alpha particles hits, and then formation of transformation in the lung cells. Biomarkers were an objective measure or evaluation of normal or abnormal biological processes. In the model, the metabolism rate of infected cell has been induced alpha particles traversals, as a biomarker, has been followed to reach oncogenic transformation. RESULTS: The model results have successfully validated in comparison with “in vitro oncogenic transformation data” for C3H 10T1/2 cells. This model has provided an opportunity to study the cellular and molecular changes, at the various stages in radiation carcinogenesis, involving human cells. CONCLUSION: It has become well known that simulation could be used to investigate complex biomedical systems, in situations where traditional methodologies were difficult or too costly to employ. Cancer Research Center, Shahid Beheshti University of Medical Sciences 2014 /pmc/articles/PMC4142958/ /pubmed/25250147 Text en © 2014 Cancer Research Center, Shahid Beheshti University of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article Baradaran, Samaneh Maleknasr, Niaz Setayeshi, Saeed Akbari, Mohammad Esmaeil Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata |
title | Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata |
title_full | Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata |
title_fullStr | Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata |
title_full_unstemmed | Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata |
title_short | Prediction of Lung Cells Oncogenic Transformation for Induced Radon Progeny Alpha Particles Using Sugarscape Cellular Automata |
title_sort | prediction of lung cells oncogenic transformation for induced radon progeny alpha particles using sugarscape cellular automata |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142958/ https://www.ncbi.nlm.nih.gov/pubmed/25250147 |
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