Willis, C. R. G., Szewczyk, N. J., Costes, S. V., Udranszky, I. A., Reinsch, S. S., Etheridge, T., and Conley, C. A., (2020). Comparative Transcriptomics Identifies Neuronal and Metabolic Adaptations to Hypergravity and Microgravity in Caenorhabditis elegans, iScience. doi.org/10.1016/j.isci.2020.101734
Publications
Polo, S. L., Saravia-Butler, A. M., Boyko, V., Dinh, M. T., Chen, Y., Fogle, H., Reinsch, S. S., et al., (2020). RNAseq Analysis of Rodent Spaceflight Experiments Is Confounded by Sample Collection Techniques, iScience. doi.org/10.1016/j.isci.2020.101733
Datasets: GLDS-47, GLDS-48, GLDS-49, GLDS-168, GLDS-235, GLDS-236
da Silveira, W. A., Fazelinia, H., Rosenthal, S. B., Laiakis, E. C., Kim, M. S., Meydan, C., Kidane, Y., et al., (2020). Comprehensive Multi-omics Analysis Reveals Mitochondrial Stress as a Central Biological Hub for Spaceflight Impact, Cell. doi.org/10.1016/j.cell.2020.11.002
Datasets: GLDS-98, GLDS-99, GLDS-100, GLDS-101, GLDS-102, GLDS-103, GLDS-104, GLDS-105, GLDS-161, GLDS-162, GLDS-163, GLDS-168, GLDS-13, GLDS-52, GLDS-54, GLDS-114, GLDS-118, GLDS-174, GLDS-47, GLDS-48, GLDS-343
Fundamental Biological Features of Spaceflight: Advancing the Field to Enable Deep-Space Exploration
Afshinnekoo, E., Scott, R. T., MacKay, M. J., Pariset, E., Cekanaviciute, E., Barker, R., Gilroy, S., et al., (2020). Fundamental Biological Features of Spaceflight: Advancing the Field to Enable Deep-Space Exploration, Cell. doi.org/10.1016/j.cell.2020.10.050
Barrila, J., Sarker, S. F., Hansmeier, N., Yang, S., Buss, K., Briones, N., Park, J., Davis, R. R., Forsyth, R. J., Ott, C. M., Sato, K., Kosnik, C., Yang, A., Shimoda, C., Rayl, N., Ly, D., Landenberger, A., Wilson, S. D., Yamazaki, N., Steel, J., Montano, C., Halden, R.U., Cannon, T., Castro-Wallace, S. L. and Nickerson, C. A., (2021). Evaluating the effect of spaceflight on the host–pathogen interaction between human intestinal epithelial cells and Salmonella Typhimurium, Microgravity. doi.org/10.1038/s41526-021-00136-w
Dataset: GLDS-323
Manian, V., Orozco, J., Gangapuram, H., Janwa, H., and Agrinsoni, C., (2021). Network Analysis of Gene Transcriptions of Arabidopsis thaliana in Spaceflight Microgravity, Genes. doi.org/10.3390/genes12030337
Nelson, C.A., Acuna, A.U., Paul, A.M., Scott, R.T., Butte, A.J., Cekanaviciute, E, Baranzini, S.E., and Costes, S.V., (2021). Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases, Life. doi.org/10.3390/life11010042
Datasets: GLDS-4, GLDS-244, GLDS-245, GLDS-246, GLDS-288, and GLDS-289.
Morrison, Michael D., Nicholson, Wayne L. "Comparisons of Transcriptome Profiles from Bacillus subtilis Cells Grown in Space versus High Aspect Ratio Vessel (HARV) Clinostats Reveal a Low Degree of Concordance. Astrobiology 2020, doi.org/10.1089/ast.2020.2235
Califar, B., Tucker, R., Cromie, J., Sng, N., Schmitz, R. A., Callaham, J. A., Barbazuk, B., Paul, A-L, Ferl, R. J. (2020). Approaches for Surveying Cosmic Radiation Damage in Large Populations of Arabidopsis thaliana Seeds – Antarctic Balloons and Particle Beams, Gravitational and Space Research 6:2, doi.org/10.2478/gsr-2018-0010
Dataset: GLDS-210
Jaing, C., Thissen, J., Morrison, M. et al. (2020) Sierra Nevada Sweep: Metagenomic Measurements of Bioaerosols Vertically Distributed Across the Troposphere. Sci Rep 10, 12399. doi.org/10.1038/s41598-020-69188-4
Dataset: GLDS-256