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Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806397/ https://www.ncbi.nlm.nih.gov/pubmed/31692674 http://dx.doi.org/10.1016/j.dib.2019.104624 |
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author | Rouchka, Eric C. Flight, Robert M. Fasciotto, Bridgitte H. Estrada, Rosendo Eaton, John W. Patibandla, Phani K. Waigel, Sabine J. Li, Dazhuo Kirtley, John K. Sethu, Palaniappan Keynton, Robert S. |
author_facet | Rouchka, Eric C. Flight, Robert M. Fasciotto, Bridgitte H. Estrada, Rosendo Eaton, John W. Patibandla, Phani K. Waigel, Sabine J. Li, Dazhuo Kirtley, John K. Sethu, Palaniappan Keynton, Robert S. |
author_sort | Rouchka, Eric C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6806397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68063972019-11-05 Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure Rouchka, Eric C. Flight, Robert M. Fasciotto, Bridgitte H. Estrada, Rosendo Eaton, John W. Patibandla, Phani K. Waigel, Sabine J. Li, Dazhuo Kirtley, John K. Sethu, Palaniappan Keynton, Robert S. Data Brief Biochemistry, Genetics and Molecular Biology 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. Elsevier 2019-10-05 /pmc/articles/PMC6806397/ /pubmed/31692674 http://dx.doi.org/10.1016/j.dib.2019.104624 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Rouchka, Eric C. Flight, Robert M. Fasciotto, Bridgitte H. Estrada, Rosendo Eaton, John W. Patibandla, Phani K. Waigel, Sabine J. Li, Dazhuo Kirtley, John K. Sethu, Palaniappan Keynton, Robert S. Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
title | Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
title_full | Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
title_fullStr | Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
title_full_unstemmed | Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
title_short | Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
title_sort | dataset for dose and time-dependent transcriptional response to ionizing radiation exposure |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806397/ https://www.ncbi.nlm.nih.gov/pubmed/31692674 http://dx.doi.org/10.1016/j.dib.2019.104624 |
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