TY - GEN
T1 - The ESA IBER-3 project - Gene expression and cytokine monitoring for biodosimetry and radiation sensitivity screening (GYMBRASS)
AU - Quintens, Roel
AU - Moreels, Marjan
AU - Tabury, Kevin
AU - Macaeva, Ellina
AU - Michaux, Arlette
AU - Averbeck, Nicole
AU - Choukèr, Alexander
AU - Baatout, Sarah
N1 - Score = 3
PY - 2013/4
Y1 - 2013/4
N2 - In order to better understand and define the biological
risks of cosmic radiation, it is important to identify
biomarkers for exposure and for predicting individual
sensitivity to radiation-induced biological damage. Our
study aims at identifying new biomarkers for radiation
exposure to low and high linear energy transfer (LET)
radiation. We will focus on the use of gene, exon and/or
cytokine expression signatures in human peripheral
blood mononuclear cells (PBMCs) as biomarkers. These
data will be integrated with those from DNA double
strand break (DSB) repair kinetics in order to identify
biomarkers of individual radiosensitivity.
Our preliminary data indicate that gene/exon expression
signatures can be used to accurately predict radiation
doses of below 0.1 Gy (X-rays). Additionally, specific
exon signatures may further enhance the sensitivity of
prediction. Also, we found that there is a very strong
overlap between gene expression changes in response to
high doses (1 Gy) of low (X-ray) and high-LET (C-ions;
50-75 keV/μm) irradiation. However, we also identified
genes that only responded to either X-rays or C-ions,
suggesting that LET-specific gene signatures may also
be identified.
AB - In order to better understand and define the biological
risks of cosmic radiation, it is important to identify
biomarkers for exposure and for predicting individual
sensitivity to radiation-induced biological damage. Our
study aims at identifying new biomarkers for radiation
exposure to low and high linear energy transfer (LET)
radiation. We will focus on the use of gene, exon and/or
cytokine expression signatures in human peripheral
blood mononuclear cells (PBMCs) as biomarkers. These
data will be integrated with those from DNA double
strand break (DSB) repair kinetics in order to identify
biomarkers of individual radiosensitivity.
Our preliminary data indicate that gene/exon expression
signatures can be used to accurately predict radiation
doses of below 0.1 Gy (X-rays). Additionally, specific
exon signatures may further enhance the sensitivity of
prediction. Also, we found that there is a very strong
overlap between gene expression changes in response to
high doses (1 Gy) of low (X-ray) and high-LET (C-ions;
50-75 keV/μm) irradiation. However, we also identified
genes that only responded to either X-rays or C-ions,
suggesting that LET-specific gene signatures may also
be identified.
KW - Biodosimetry
KW - gene expression
KW - alternative splicing
KW - DNA damage
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_128154
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_128154_2
UR - http://knowledgecentre.sckcen.be/so2/bibref/10127
M3 - In-proceedings paper
SN - 978-92-9221-270-4
T3 - Spacebooks Online
BT - SP-706 Life in Space for Life on Earth
CY - Noordwijk, Netherlands
T2 - Life in Space for Life on Earth
Y2 - 17 June 2012 through 22 June 2012
ER -