Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10896
Title: Transcriptional responses to ionising radiation for biological dosimetry purposes
Authors: Kabacik, Sylwia
Advisors: Slijepcevic, P
Badie, C
Keywords: Gene expression;Biodosimetry
Issue Date: 2015
Abstract: Exposures to ionising radiation resulting from natural sources or medical diagnostics are generally very low. In contrast, exposures to therapeutic radiation, although, they are often partial exposures, represent much higher doses. Similar levels of exposure may also occur as a consequence of a radiological accident, where it would be necessary to quickly separate individuals requiring urgent medical attention from the “worried-well”. The well-established biodosimetry techniques based on cytogenetics, particularly scoring dicentric chromosomes, are accurate and sensitive, yet, they are unsuitable for mass screening due to limited capacity and the time required for providing dose estimates. Measuring gene expression changes following radiation exposure was suggested over a decade ago to be an alternative method for dose estimation, as it is a quick, sensitive and suitable technique for high throughput application. The qPCR protocol was extensively optimised for increased reproducibility and sensitivity in order to be suitable for biodosimetry purposes. Radiation-responsive transcripts were identified and characterised in terms of temporal- and dose-responses. Finally, candidate transcripts were validated in human blood irradiated ex vivo and in vivo in blood samples obtained from cancer patients undergoing radiotherapy treatment. The data generated here serve as a proof of principle that qPCR-based gene expression assays can be used for radiation biodosimetry purposes to aid classical cytogenetics tools in an event of mass causality.
Description: This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University London
URI: http://bura.brunel.ac.uk/handle/2438/10896
Appears in Collections:Biological Sciences
Dept of Life Sciences Theses

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