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Int J Bioinform Res Appl. 2013;9(4):365-85. doi: 10.1504/IJBRA.2013.054701.

Identifying radiation exposure biomarkers from mouse blood transcriptome.

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1
Department of Biochemistry and Molecular and Cellular Biology, and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA. hyduke@ucsd.edu

Abstract

Ionising radiation is a pleiotropic stress agent that may induce a variety of adverse effects. Molecular biomarker approaches possess promise to assess radiation exposure, however, the pleiotropic nature of ionising radiation induced transcriptional responses and the historically poor inter-laboratory performance of omics-derived biomarkers serve as barriers to identification of unequivocal biomarker sets. Here, we present a whole-genome survey of the murine transcriptomic response to physiologically relevant radiation doses, 2 Gy and 8 Gy. We used this dataset with the Random Forest algorithm to correctly classify independently generated data and to identify putative metabolite biomarkers for radiation exposure.

PMID:
23797995
PMCID:
PMC4180524
DOI:
10.1504/IJBRA.2013.054701
[Indexed for MEDLINE]
Free PMC Article
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