Temporal Multi-Omics Analysis of Mouse Bone Marrow Responses to Radiation Exposure
5 affiliations
- 1Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA
- 2School of Computing, University of Nebraska-Lincoln, Lincoln, NE 68588-0115, USA
- 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA
- 4Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198-5805, USA
- 5Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA
Abstract
Large-scale radiation catastrophes and localized exposure incidents remain major threats to public health. Effective treatment following radiation exposure is challenging because radiation dose, timing, and affected tissues can vary widely between individuals. To better understand the biological response to radiation injury, we employed a multi-omics approach integrating transcriptomics, proteomics, and metabolomics. In this study, mouse bone marrow was analyzed at 1, 6, and 24 h after whole-body irradiation and compared with bone marrow from non-irradiated mice. Multivariate and univariate analyses revealed time-dependent changes across transcriptomic, proteomic, and metabolomic profiles. We further applied machine learning-based integrative analysis and biomarker discovery approaches to identify key molecular responses associated with radiation exposure. Integrated analysis showed that the acute radiation response in bone marrow included immune-related processes, followed by intermediate metabolic reprogramming, and later disruptions in cell cycle regulation. Biomarker analysis identified several promising candidates, including the transcripts Sapcd2 and Cd28, proteins FRIL1 and CDK1, and the metabolites 3-hydroxyisobutyrate and taurine. Overall, our findings demonstrate that bone marrow from irradiated mice undergoes dynamic and coordinated molecular changes over time. These responses include activation of ferroptosis defense mechanisms, mitotic dysfunction, and pathways associated with programmed cell death.
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BibTeX
@article{clifton2026temporal,
title = {{Temporal Multi-Omics Analysis of Mouse Bone Marrow Responses to Radiation Exposure}},
author = {Ashley D. Clifton and Micah J. Jeppesen and Shohaib Shaffiey and Arpita Chatterjee and Kia T. Liermann-Wooldrik and Oluwaseun Adebisi and Simran Takkar and Naresh Mutha and Rebecca E. Oberley-Deegan and Chittibabu Guda and Massimiliano Pierobon and James W. Checco and Robert Powers},
journal = {International Journal of Molecular Sciences},
year = {2026},
month = oct,
doi = {10.3390/ijms27209363},
url = {https://www.mdpi.com/1422-0067/27/20/9363},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Temporal Multi-Omics Analysis of Mouse Bone Marrow Responses to Radiation Exposure
AU - Ashley D. Clifton
AU - Micah J. Jeppesen
AU - Shohaib Shaffiey
AU - Arpita Chatterjee
AU - Kia T. Liermann-Wooldrik
AU - Oluwaseun Adebisi
AU - Simran Takkar
AU - Naresh Mutha
AU - Rebecca E. Oberley-Deegan
AU - Chittibabu Guda
AU - Massimiliano Pierobon
AU - James W. Checco
AU - Robert Powers
PY - 2026
DA - 2026/10/21
JO - International Journal of Molecular Sciences
DO - 10.3390/ijms27209363
UR - https://www.mdpi.com/1422-0067/27/20/9363
AB - Large-scale radiation catastrophes and localized exposure incidents remain major threats to public health. Effective treatment following radiation exposure is challenging because radiation dose, timing, and affected tissues can vary widely between individuals. To better understand the biological response to radiation injury, we employed a multi-omics approach integrating transcriptomics, proteomics, and metabolomics. In this study, mouse bone marrow was analyzed at 1, 6, and 24 h after whole-body irradiation and compared with bone marrow from non-irradiated mice. Multivariate and univariate analyses revealed time-dependent changes across transcriptomic, proteomic, and metabolomic profiles. We further applied machine learning-based integrative analysis and biomarker discovery approaches to identify key molecular responses associated with radiation exposure. Integrated analysis showed that the acute radiation response in bone marrow included immune-related processes, followed by intermediate metabolic reprogramming, and later disruptions in cell cycle regulation. Biomarker analysis identified several promising candidates, including the transcripts Sapcd2 and Cd28, proteins FRIL1 and CDK1, and the metabolites 3-hydroxyisobutyrate and taurine. Overall, our findings demonstrate that bone marrow from irradiated mice undergoes dynamic and coordinated molecular changes over time. These responses include activation of ferroptosis defense mechanisms, mitotic dysfunction, and pathways associated with programmed cell death.
SN - 1422-0067
ER -