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Identification of differentially expressed genes and pathways in mice exposed to mixed field neutron/photon radiation

Overview of attention for article published in BMC Genomics, June 2018
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Title
Identification of differentially expressed genes and pathways in mice exposed to mixed field neutron/photon radiation
Published in
BMC Genomics, June 2018
DOI 10.1186/s12864-018-4884-6
Pubmed ID
Authors

Constantinos G. Broustas, Andrew D. Harken, Guy Garty, Sally A. Amundson

Abstract

Radiation exposure due to the detonation of an improvised nuclear device remains a major security concern. Radiation from such a device involves a combination of photons and neutrons. Although photons will make the greater contribution to the total dose, neutrons will certainly have an impact on the severity of the exposure as they have high relative biological effectiveness. We investigated the gene expression signatures in the blood of mice exposed to 3 Gy x-rays, 0.75 Gy of neutrons, or to mixed field photon/neutron with the neutron fraction contributing 5, 15%, or 25% of a total 3 Gy radiation dose. Gene ontology and pathway analysis revealed that genes involved in protein ubiquitination pathways were significantly overrepresented in all radiation doses and qualities. On the other hand, eukaryotic initiation factor 2 (EIF2) signaling pathway was identified as one of the top 10 ranked canonical pathways in neutron, but not pure x-ray, exposures. In addition, the related mTOR and regulation of EIF4/p70S6K pathways were also significantly underrepresented in the exposures with a neutron component, but not in x-ray radiation. The majority of the changed genes in these pathways belonged to the ribosome biogenesis and translation machinery and included several translation initiation factors (e.g. Eif2ak4, Eif3f), as well as 40S and 60S ribosomal subunits (e.g. Rsp19, Rpl19, Rpl27). Many of the differentially downregulated ribosomal genes (e.g. RPS19, RPS28) have been causally associated with human bone marrow failure syndromes and hematologic malignancies. We also observed downregulation of transfer RNA processes, in the neutron-only exposure (p < 0.005). Ingenuity Pathway Analysis (p < 0.05) of differentially expressed genes predicted significantly suppressed activity of the upstream regulators c-Myc and Mycn, transcription factors known to control ribosome biogenesis. We describe the gene expression profile of mouse blood following exposure to mixed field neutron/photon irradiation. We have discovered that pathways related to protein translation are significantly underrepresented in the exposures containing a neutron component. Our results highlight the significance of neutron exposures that even the smallest percentage can have profound biological effects that will affect medical management and treatment decisions in case of a radiological emergency.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Student > Bachelor 4 11%
Researcher 4 11%
Professor > Associate Professor 2 6%
Other 3 8%
Unknown 12 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 17%
Medicine and Dentistry 6 17%
Agricultural and Biological Sciences 5 14%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 8%
Unknown 13 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from BMC Genomics
#9,330
of 10,705 outputs
Outputs of similar age
#288,618
of 329,253 outputs
Outputs of similar age from BMC Genomics
#167
of 206 outputs
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