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

Molykutty J. Aryankalayil(Center for Cancer Research), Sunita Chopra(Center for Cancer Research), Adeola Y. Makinde(Center for Cancer Research), Iris Eke(National Cancer Institute), Joel Levin(National Cancer Institute), Uma Shankavaram(Center for Cancer Research), Laurel MacMillan(Gryphon Scientific (United States)), Claire Vanpouille‐Box(Cornell University), Sandra Demaria(Weill Cornell Medicine), C. Norman Coleman(National Cancer Institute)
Biomarkers
May 25, 2018
Cited by 37Open Access
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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.


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