Astronauts participating in long duration space missions are likely to be exposed to ionizing radiation associated with highly energetic and charged heavy particles. Previously proposed gene biomarkers for radiation exposure include phosphorylated H2A Histone Family, Member X (γH2AX), Tumor Protein 53 (TP53), and Cyclin-Dependent Kinase Inhibitor 1A (CDKN1A). However, transcripts of these genes may not be the most suitable biomarkers for radiation exposure due to a lack of sensitivity or specificity. As part of a larger effort to develop lab-on-a-chip methods for detecting radiation exposure events using blood samples, we designed a dose–course microarray study in order to determine coding and non-coding RNA transcripts undergoing differential expression immediately following radiation exposure. The main goal was to elicit a small set of sensitive and specific radiation exposure biomarkers at low, medium, and high levels of ionizing radiation exposure. Four separate levels of radiation were considered: 0 Gray (Gy) control; 0.3 Gy; 1.5 Gy; and 3.0 Gy with four replicates at each radiation level. This report includes raw gene expression data files from the resulting microarray experiments from all three radiation levels ranging from a lower, typical exposure than an astronaut might see (0.3 Gy) to high, potentially lethal, levels of radiation (3.0 Gy). The data described here is available in NCBI's Gene Expression Omnibus (GEO), accession GSE64375.

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Published in Genomics Data, v. 7, p. 82-85.

© 2015 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Funding was provided by the National Aeronautics and Space Administration (NASA) contract NX10AJ36G (BHF, ECR, JK, JWE, PKP, PS, RE and RSK); the National institutes of Health (NIH) grants P20RR016481 (DL, ECR, RMF and SJW), 3P20RR016481-09S1 (ECR, RMF and SJW), and P20GM103436 (ECR and SJW).

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Data is available in the Gene Expression Omnibus (GEO) [1,2] accession GSE64375 through the direct link http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64375