ArticleScientific reports2019
New Approaches for Quantitative Reconstruction of Radiation Dose in Human Blood Cells.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Gene expression as a biological dosimeter: effects of different neutron energies.Radiation and environmental biophysics · 2026Article
- Microarray-Based Genomic Profiling in Low-Dose Radiation Research: Evidence, Limitations, and Translational Perspectives.International journal of molecular sciences · 2026Review
- Centers for Medical Countermeasures against Radiation Consortium: Past, Present, and Beyond.Radiation research · 2025Review
- Microfluidic measurement of intracellular mRNA with a molecular beacon probe towards point-of-care radiation triage.Sensors & diagnostics · 2024Article
- The DNA damage response to radiological imaging: from ROS and γH2AX foci induction to gene expression responses in vivo.Radiation and environmental biophysics · 2023Article
- Longitudinal multi-omic changes in the transcriptome and proteome of peripheral blood cells after a 4 Gy total body radiation dose to Rhesus macaques.BMC genomics · 2023Article
- Biomarkers to Predict Lethal Radiation Injury to the Rat Lung.International journal of molecular sciences · 2023Article
- Biodosimetry, can it find its way to the nuclear medicine clinic?Frontiers in nuclear medicine · 2023Review
- Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023Review
- Cross-platform validation of a mouse blood gene signature for quantitative reconstruction of radiation dose.Scientific reports · 2022Article
- Development of Biomarkers for Radiation Biodosimetry and Medical Countermeasures Research: Current Status, Utility, and Regulatory Pathways.Radiation research · 2022Article
- Development of Biomarkers for Radiation Biodosimetry and Medical Countermeasures Research: Current Status, Utility, and Regulatory Pathways.Radiation research · 2022Article
- Transcriptomics of Wet Skin Biopsies Predict Early Radiation-Induced Hematological Damage in a Mouse Model.Genes · 2022Article
- The transcriptomic revolution and radiation biology.International journal of radiation biology · 2022Article
- Heterogeneity of IFN-Mediated Responses and Tumor Immunogenicity in Patients with Cervical Cancer Receiving Concurrent Chemoradiotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021Observational
- Development of the FAST-DOSE assay system for high-throughput biodosimetry and radiation triage.Scientific reports · 2020Article
- Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing.Radiation research · 2020Article
- Article
- Blood Gene Expression Profile Study Revealed the Activation of Apoptosis and p53 Signaling Pathway May Be the Potential Molecular Mechanisms of Ionizing Radiation Damage and Radiation-Induced Bystander Effects.Dose-response : a publication of International Hormesis SocietyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the event of a nuclear attack or large-scale radiation event, there would be an urgent need for assessing the dose to which hundreds or thousands of individuals were exposed. Biodosimetry approaches are being developed to address this need, including transcriptomics. Studies have identified many genes with potential for biodosimetry, but, to date most have focused on classification of samples by exposure levels, rather than dose reconstruction. We report here a proof-of-principle study applying new methods to select radiation-responsive genes to generate quantitative, rather than categorical, radiation dose reconstructions based on a blood sample. We used a new normalization method to reduce effects of variability of signal intensity in unirradiated samples across studies; developed a quantitative dose-reconstruction method that is generally under-utilized compared to categorical methods; and combined these to determine a gene set as a reconstructor. Our dose-reconstruction biomarker was trained using two data sets and tested on two independent ones. It was able to reconstruct dose up to 4.5 Gy with root mean squared error (RMSE) of ± 0.35 Gy on a test dataset using the same platform, and up to 6.0 Gy with RMSE of ± 1.74 Gy on a test set using a different platform.
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