Please use this identifier to cite or link to this item: https://apo.ansto.gov.au/dspace/handle/10238/9302
Title: Predicted ionisation in mitochondria and observed acute changes in the mitochondrial transcriptome after gamma irradiation: a Monte Carlo simulation and quantitative PCR study
Authors: Kam, WWY
McNamara, AL
Lake, V
Banos, C
Davies, JB
Kuncic, Z
Banati, RB
Keywords: Mitochondria
Electromagnetic radiation
Monte Carlo method
Radiations
Polymerase chain reaction
RNA
Cytoplasm
Issue Date: 1-Nov-2013
Publisher: Elsevier B.V.
Citation: Kam, W. W. Y., McNamara, A. L., Lake, V., Banos, C., Davies, J. B., Kuncic, Z., & Banati, R. B. (2013). Predicted ionisation in mitochondria and observed acute changes in the mitochondrial transcriptome after gamma irradiation: a Monte Carlo simulation and quantitative PCR study. Mitochondrion, 13(6), 736-742. doi:10.1016/j.mito.2013.02.005
Abstract: It is a widely accepted that the cell nucleus is the primary site of radiation damage while extra-nuclear radiation effects are not yet systematically included into models of radiation damage. We performed Monte Carlo simulations assuming a spherical cell (diameter 11.5 μm) modelled after JURKAT cells with the inclusion of realistic elemental composition data based on published literature. The cell model consists of cytoplasm (density 1 g/cm3), nucleus (diameter 8.5 μm; 40% of cell volume) as well as cylindrical mitochondria (diameter 1 μm; volume 0.5 μm3) of three different densities (1, 2 and 10 g/cm3) and total mitochondrial volume relative to the cell volume (10, 20, 30%). Our simulation predicts that if mitochondria take up more than 20% of a cell's volume, ionisation events will be the preferentially located in mitochondria rather than in the cell nucleus. Using quantitative polymerase chain reaction, we substantiate in JURKAT cells that human mitochondria respond to gamma radiation with early (within 30 min) differential changes in the expression levels of 18 mitochondrially encoded genes, whereby the number of regulated genes varies in a dose-dependent but non-linear pattern (10 Gy: 1 gene; 50 Gy: 5 genes; 100 Gy: 12 genes). The simulation data as well as the experimental observations suggest that current models of acute radiation effects, which largely focus on nuclear effects, might benefit from more systematic considerations of the early mitochondrial responses and how these may subsequently determine cell response to ionising radiation. © 2013 Elsevier B.V.
Gov't Doc #: 8776
URI: https://doi.org/10.1016/j.mito.2013.02.005
http://apo.ansto.gov.au/dspace/handle/10238/9302
ISSN: 1567-7249
Appears in Collections:Journal Articles

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