The exposure to high doses of ionizing radiation (>5Gy) is unequivocally associated with increased cancer risk. However, there is substantial experimental evidence showing that in response to low doses of ionizing radiation (LDR: <100mGy), cells and organisms are benefitted with delayed ageing, improved immunity and reduced cancer growth. These intriguing findings have proposed the “Radiation Hormesis” hypothesis. Herein, I studied the senescence effects of LDR exposure to normal human HFL1 cells and examined transcriptional changes. I found that HFL1 cells exposed to 10 mGy of gamma radiation had delayed senescence measured at 12 weeks post-irradiation compared to unirradiated cells. Through qPCR array analysis, I found that genes involved in human cellular senescence functions are differentially regulated in 10 mGy exposed cells at 12 weeks compared to 1-week post-exposure. A nucleolar protein, SIRT7, that belongs to the family of proteins called Sirtuins with known roles in aging, was found to be upregulated transcriptionally in LDR-exposed HFL1 cells. Knocking out SIRT7 protein significantly accelerated senescence in HFL1 cells suggesting a direct role of SIRT7 in the deceleration of senescence and potentially in mediating radiation hormesis. Furthermore, overexpression of the HRAS oncogene strongly accelerated senescence in HFL1 cells through gene expression of cell cycle regulators and checkpoint proteins. Together, my studies revealed that LDR induces unique transcriptional changes resulting in a potentially radio adaptive protective cellular response. I also discuss the HRAS overexpression system as a time-efficient cellular model that could be used to more rapidly study the effect of LDR on senescence using primary cultures.
Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/40982 |
Date | 11 September 2020 |
Creators | Kabilan, Usha |
Contributors | Klokov, Dmitry, Alain, Tommy |
Publisher | Université d'Ottawa / University of Ottawa |
Source Sets | Université d’Ottawa |
Language | English |
Detected Language | English |
Type | Thesis |
Format | application/pdf |
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