Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure.

Autor:	Rouchka EC; 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., Flight RM; Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, 40356, United States., Fasciotto BH; Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, 40292, United States.; The ElectroOptics Research Institute and Nanotechnology Center, University of Louisville, Louisville, KY, 40292, United States., Estrada R; Department of Bioengineering, University of Louisville, Louisville, KY, 40292, United States., Eaton JW; 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., Patibandla PK; 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., Waigel SJ; James Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, United States., Li D; Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, United States., Kirtley JK; Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, United States., Sethu P; 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., Keynton RS; Department of Bioengineering, University of Louisville, Louisville, KY, 40292, United States.
Jazyk:	angličtina
Zdroj:	Data in brief [Data Brief] 2019 Oct 05; Vol. 27, pp. 104624. Date of Electronic Publication: 2019 Oct 05 (Print Publication: 2019).
DOI:	10.1016/j.dib.2019.104624
Abstrakt:	Exposure to ionizing radiation associated with highly energetic and charged heavy particles is an inherent risk astronauts face in long duration space missions. We have previously considered the transcriptional effects that three levels of radiation (0.3 Gy, 1.5 Gy, and 3.0 Gy) have at an immediate time point (1 hr) post-exposure [1]. Our analysis of these results suggest effects on transcript levels that could be modulated at lower radiation doses [2]. In addition, a time dependent effect is likely to be present. Therefore, in order to develop a lab-on-a-chip approach for detection of radiation exposure in terms of both radiation level and time since exposure, we developed a time- and dose-course study to determine appropriate sensitive and specific transcript biomarkers that are detectable in blood samples. The data described herein was developed from a study measuring exposure to 0.15 Gy, 0.30 Gy, and 1.5 Gy of radiation at 1 hr, 2 hr, and 6 hr post-exposure using Affymetrix® GeneChip® PrimeView™ microarrays. This report includes raw gene expression data files from the resulting microarray experiments representing typical radiation exposure levels an astronaut may experience as part of a long duration space mission. The data described here is available in NCBI's Gene Expression Omnibus (GEO), accession GSE63952. (© 2019 The Authors.)
Databáze:	MEDLINE
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