J. Tyson McDonald
NASA GeneLab Platform Utilized for Biological Response to Space Radiation in Animal Models
McDonald, J. Tyson; Stainforth, Robert; Miller, Jack; Cahill, Thomas; Abraham da Silveira, Willian; Rathi, Komal S.; Hardiman, Gary; Taylor, Deanne; Costes, Sylvain V.; Chauhan, Vinita; Meller, Robert; Beheshti, Afshin
Authors
Robert Stainforth
Jack Miller
Thomas Cahill
Dr Willian Da Silveira W.A.DaSilveira@salford.ac.uk
Lecturer
Komal S. Rathi
Gary Hardiman
Deanne Taylor
Sylvain V. Costes
Vinita Chauhan
Robert Meller
Afshin Beheshti
Abstract
Background: Ionizing radiation from galactic cosmic rays (GCR) is one of the major risk factors that will impact the health of astronauts on extended missions outside the protective effects of the Earth's magnetic field. The NASA GeneLab project has detailed information on radiation exposure using animal models with curated dosimetry information for spaceflight experiments.
Methods: We analyzed multiple GeneLab omics datasets associated with both ground-based and spaceflight radiation studies that included in vivo and in vitro approaches. A range of ions from protons to iron particles with doses from 0.1 to 1.0 Gy for ground studies, as well as samples flown in low Earth orbit (LEO) with total doses of 1.0 mGy to 30 mGy, were utilized.
Results: From this analysis, we were able to identify distinct biological signatures associating specific ions with specific biological responses due to radiation exposure in space. For example, we discovered changes in mitochondrial function, ribosomal assembly, and immune pathways as a function of dose.
Conclusions: We provided a summary of how the GeneLab's rich database of omics experiments with animal models can be used to generate novel hypotheses to better understand human health risks from GCR exposures.
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 3, 2020 |
Online Publication Date | Feb 7, 2020 |
Publication Date | Feb 7, 2020 |
Deposit Date | Oct 25, 2024 |
Publicly Available Date | Oct 25, 2024 |
Journal | Cancers |
Electronic ISSN | 2072-6694 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 2 |
Article Number | 381 |
DOI | https://doi.org/10.3390/cancers12020381 |
PMID | 32045996 |
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