ArticleComputational and mathematical methods in medicine2012
A simulation study of the radiation-induced bystander effect: modeling with stochastically defined signal reemission.
Article in Computational and mathematical methods in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects.Scientific reports · 2018Article
- Quantitative modeling of responses to chronic ionizing radiation exposure using targeted and non-targeted effects.PloS one · 2017Article
- Cellular automaton-based model for radiation-induced bystander effects.BMC systems biology · 2015Article
- Application of multivariate modeling for radiation injury assessment: a proof of concept.Computational and mathematical methods in medicine · 2014Article
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Authors and funding
5 authors.
Funding
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Abstract
The radiation-induced bystander effect (RIBE) has been experimentally observed for different types of radiation, cell types, and cell culture conditions. However, the behavior of signal transmission between unirradiated and irradiated cells is not well known. In this study, we have developed a new model for RIBE based on the diffusion of soluble factors in cell cultures using a Monte Carlo technique. The model involves the signal emission probability from bystander cells following Poisson statistics. Simulations with this model show that the spatial configuration of the bystander cells agrees well with that of corresponding experiments, where the optimal emission probability is estimated through a large number of simulation runs. It was suggested that the most likely probability falls within 0.63-0.92 for mean number of the emission signals ranging from 1.0 to 2.5.
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