Transcriptomic and Secretomic Profiling of Isolated Leukocytes Exposed to Alpha-Particle and Photon Radiation - Applications in Biodosimetry
type: CreativeWork
description: The general public is at risk of ionising-radiation exposure. The development of high-throughput methods to triage exposures is warranted. Current biodosimetry techniques are low-throughput and encumbered by time and technical expertise. Although there has been an emergence of gene-profiling tools for the purpose of photon biodosimetry, similar capacities do not exist for alpha-particle radiation. Herein is the first genomic study useful for alpha-particle radiation biodosimetric triage. This work has identified robust alpha-particle induced gene-based biomarkers in isolated, ex-vivo irradiated leukocytes from multiple donors. It was found that alpha-particle and photon radiation elicited similar transcriptional responses, which could potentially be distinguished by aggregate-signature analysis. Although no distinct genes were sole indicators of exposure type, clustering algorithms and principal component analysis were able to demarcate radiation type with some success. By comparing the biological effects elicited by photon and alpha-particle radiation, significant contributions have been made to the field of radiation biodosimetry.
abstract: The general public is at risk of ionising-radiation exposure. The development of high-throughput methods to triage exposures is warranted. Current biodosimetry techniques are low-throughput and encumbered by time and technical expertise. Although there has been an emergence of gene-profiling tools for the purpose of photon biodosimetry, similar capacities do not exist for alpha-particle radiation. Herein is the first genomic study useful for alpha-particle radiation biodosimetric triage. This work has identified robust alpha-particle induced gene-based biomarkers in isolated, ex-vivo irradiated leukocytes from multiple donors. It was found that alpha-particle and photon radiation elicited similar transcriptional responses, which could potentially be distinguished by aggregate-signature analysis. Although no distinct genes were sole indicators of exposure type, clustering algorithms and principal component analysis were able to demarcate radiation type with some success. By comparing the biological effects elicited by photon and alpha-particle radiation, significant contributions have been made to the field of radiation biodosimetry.
author: Howland, Matthew
language: en
keywords: alpha-particle, ionising radiation, ionizing radiation, gene response, transcriptional response, photon, radiation, biodosimetry, dosimetry, gene profiling, miRNA profiling, bio-plex
date published: 2013-09-09T17:01:15Z
date modified: 2026-07-24T03:39:29Z
provider: University of Ottawa
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Université d'Ottawa / University of Ottawa

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10393/26081

PropertyValue
property ID: DOI
value: 10.20381/ruor-3197