Transcriptional profile of immediate response to ionizing radiation exposure
Eric C. Rouchka,
Robert M. Flight,
Brigitte H. Fasciotto,
Rosendo Estrada,
John W. Eaton,
Phani K. Patibandla,
Sabine J. Waigel,
Dazhuo Li,
John K. Kirtley,
Palaniappan Sethu,
Robert S. Keynton
Affiliations
Eric C. Rouchka
Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, United States; Kentucky Biomedical Research Infrastructure Network Bioinformatics Core, University of Louisville, Louisville, KY 40292, United States; Corresponding author at: Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, United States.
Robert M. Flight
Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40356, United States
Brigitte H. Fasciotto
TheElectroOptics Research Institute and Nanotechnology Center, University of Louisville, Louisville, KY 40292, United States
Rosendo Estrada
Department of Bioengineering, University of Louisville, Louisville, KY 40292, United States
John W. Eaton
Department of Medicine, University of Louisville, Louisville, KY 40292, United States; Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY 40292, United States; James Graham Brown Cancer Center, University of Louisville, Louisville, KY 40202, United States
Phani K. Patibandla
Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, United States; Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, United States
Sabine J. Waigel
James Graham Brown Cancer Center, University of Louisville, Louisville, KY 40202, United States
Dazhuo Li
Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, United States
John K. Kirtley
Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, United States
Palaniappan Sethu
Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, United States; Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, United States
Robert S. Keynton
Department of Medicine, University of Louisville, Louisville, KY 40292, United States
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. Keywords: Ionizing radiation, Radiation exposure, Astronaut, Long duration space travel
