Space Omics and Medical Atlas (SOMA)

Study Information

Last updated: Jun 10th, 2024
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The Space Omics and Medical Atlas

Welcome to SOMA - The Space Omics and Medical Atlas! We are a pioneering collaborative project dedicated to standardizing biological measures and data sharing for bioastronautics and spaceflight-related omics research. Building on the success of the NASA Twins Study, our mission is to deliver comprehensive and integrative multiomics analysis of astronauts, including esteemed crew members from the Inspiration4 and Polaris Dawn, and Axiom missions as well as controls.

By utilizing longitudinal sampling, we continuously monitor the impacts of spaceflight on astronaut health and provide essential post-mission health services. Our commitment to uniformity in sample collection, processing, and analysis ensures the validity and comparability of our findings with those of other researchers and space agencies around the globe.

Join us on this exciting journey as we unlock the secrets of spaceflight and help shape the future of human health in the cosmos!

Please see the SOMA landing page , Cornell Aerospace Medicine Biobank (CAMbank) , and the Nature collection for more details.


SpaceX Inspiration4 related data and analyses:

The Space Omics and Medical Atlas (SOMA) and international astronaut biobank
Overbey, E. G., Kim, J.K., Tierney, B. T. et al.
Nature (2024)
doi: 10.1038/s41586-024-07639-y

Molecular and physiologic changes in the SpaceX Inspiration4 civilian crew
Jones, C. W., Overbey, E. G., Lacombe, J. et al.
Nature (2024)
doi: 10.1038/s41586-024-07648-x

Single-cell multi-ome and immune profiles of the Inspiration4 crew reveal conserved, cell-type, and sex-specific responses to spaceflight
Kim, J.K., Tierney B. T., Overbey, E. G. et al.
Nature Commun. (2024)
doi: 10.1038/s41467-024-49211-2

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight
Tierney, B., Kim, J.K., Overbey, E. G. et al.
Nature Microbiol. (2024)
doi: 10.1038/s41564-024-01635-8

Spatial multi-omics of human skin reveals KRAS and inflammatory responses to spaceflight
Park, J., Overbey, E. G., Narayanan, S. A. et al.
Nature Commun. (2024)
doi: 10.1038/s41467-024-48625-2

Secretome profiling reveals acute changes in oxidative stress, brain homeostasis, and coagulation following short-duration spaceflight
Hourebi, N., Kim, J.K., Overbey, E. G. et al.
Nature Commun. (2024)
doi: 10.1038/s41467-024-48841-w

Direct RNA sequencing of astronaut blood reveals spaceflight-associated m6A increases and hematopoietic transcriptional responses
Grigorev, K., Nelson, T. M, Overbey, E. G. et al.
Nature Commun. (2024)
doi: 10.1038/s41467-024-48929-3

A second space age spanning omics, platforms, and medicine across orbits
Mason, C. E., Green, J., Adamopoulos, K. I. et al.
Nature (2024)
doi: 10.1038/s41586-024-07586-8

Collection of biospecimens from the inspiration4 mission establishes the standards for the space omics and medical atlas (SOMA)
Overbey, E. G., Ryon, K., Kim, J.K. et al.
Nature Commun. (2024)
doi: 10.1038/s41467-024-48806-z

SOMA Nature Collection

NASA Twins Study data and analyses:

The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
Bakelman, FG et al.
Science, 2019

The Biology of Spaceflight collection

Cell journals, 2021

JAXA Cell-Free Epigenome (CFE) Study data and analyses

Data and analyses are from NASA Open Science Data Repository OSD-530



Other samples

Additional NASA samples are from NASA Open Science Data Repository (OSDR)

Please see the details tab in the Mouse section for citation on each study.

For the GeneLab analysis pipelines used in results, please cite

Overbey E, Saravia-Butler A et al. NASA GeneLab RNA-seq consensus pipeline: Standardized processing of short-read RNA-seq data



Please find the code for the SpaceX Inspiration4 datasets here:

Conceptualization, supervision, investigation by Christopher Mason and Ari Melnick

Study design, sampling, coordination, methodology by Christopher Mason and Eliah Overbey

Website analysis results by Cem Meydan, JangKeun Kim, Braden Tierney, Jiwoon Park, Nadia Houerbi, and many others.

Please see each paper for the full author list and contributions.

Website code and visualizations by Cem Meydan

This work is generously supported by WorldQuant Foundation, NASA (NNX14AH50G, NNX17AB26G, 80NSSC22K0254, NNH18ZTT001N-FG2, 80NSSC22K0254, NNX16AO69A, 80NSSC19K0432, NNX13AE45G), the National Institutes of Health (R01MH117406, P01CA214274 R01CA249054), and the LLS (MCL7001-18, LLS 9238-16), the Core Facilities at Weill Cornell Medicine, the Scientific Computing Unit (SCU) of the Weill Cornell Institute for Computational Biomedicine, XSEDE Supercomputing Resources.

The gene descriptions, aliases, and protein product synonyms available on this website were extracted from public information provided by the National Center for Biotechnology Information (NCBI). Disease association information was derived from publicly available abstracts on PubMed.

Unless otherwise noted, all site content is copyrighted by Mason Lab and Weill Cornell Medicine.

The "Weill Cornell Medicine" name, logo, seal are registered trademarks of Cornell University. All rights reserved.

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