Human Spaceflight Transcriptomics: Radiation vs Simulated Microgravity — Locked Aggregate Pathway Results
Year: 2026
Type: dataset
Abstract: This dataset provides the locked aggregate results of a secondary, reproducible bioinformatics study comparing human transcriptomic responses across spaceflight missions and controlled human radiation and simulated microgravity models. Four molecular pathways were prespecified: reactive oxygen species (ROS) response, DNA repair, oxidative phosphorylation (OXPHOS), and inflammatory response. The dataset contains three aggregate summary tables covering 60 context–pathway comparisons. None of the 60 confirmatory biological-unit-level pathway tests remained significant after within-context Holm correction. Exploratory gene-ranked enrichment analysis identified 32 of 60 comparisons meeting the reported Holm-adjusted threshold, while directional concordance between preliminary and canonical methods was 50 of 60 comparisons. These findings highlight heterogeneity across missions, sampling phases, biological models, and exposure contexts. Overlapping responses to radiation and simulated microgravity prevent attribution of astronaut transcriptomic signatures specifically or causally to space radiation. The primary results were locked on 17 October 2026. A subsequent archive comparison verified byte-level identity for all 40 canonical R output files; this does not independently establish complete regeneration from raw inputs during the latest execution. This archive includes aggregate pathway-level tables, the Results Lock documentation, and R environment information. Individual-level human transcriptomic matrices, subject-level results, and third-party gene-set membership files are not redistributed. The original NASA OSDR/GeneLab and NCBI GEO datasets should be cited independently. This dataset was deposited after completion of the analyses and does not constitute a prospective preregistration.
Language: English
Subfield: Physiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7222966816