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Original Article

Microarray analysis of miRNA expression profiles following whole body irradiation in a mouse model

, , , , , , , , & show all
Pages 689-703 | Received 12 Mar 2018, Accepted 12 May 2018, Published online: 19 Jun 2018
 

Abstract

Context: Accidental exposure to life-threatening radiation in a nuclear event is a major concern; there is an enormous need for identifying biomarkers for radiation biodosimetry to triage populations and treat critically exposed individuals.

Objective: To identify dose-differentiating miRNA signatures from whole blood samples of whole body irradiated mice.

Methods: Mice were whole body irradiated with X-rays (2 Gy–15 Gy); blood was collected at various time-points post-exposure; total RNA was isolated; miRNA microarrays were performed; miRNAs differentially expressed in irradiated vs. unirradiated controls were identified; feature extraction and classification models were applied to predict dose-differentiating miRNA signature.

Results: We observed a time and dose responsive alteration in the expression levels of miRNAs. Maximum number of miRNAs were altered at 24-h and 48-h time-points post-irradiation. A 23-miRNA signature was identified using feature selection algorithms and classifier models. An inverse correlation in the expression level changes of miR-17 members, and their targets were observed in whole body irradiated mice and non-human primates.

Conclusion: Whole blood-based miRNA expression signatures might be used for predicting radiation exposures in a mass casualty nuclear incident.

Acknowledgements

We thank SRI International, USA (Study no. R019-16) and CiToxLAB, Canada (Study no. 2017-2243) for providing the non-human primate samples. The authors thank Patricia Rivera-Solis and Katherine Wilsdon for their excellent technical assistance.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by the NIH Intramural Research Program, National Cancer Institute, Center for Cancer Research [Grant No. ZIA BC 010670] and funded by NIAID (IAA #NRC-13028).

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