Estimation of time-dependent microRNA expression patterns in brain tissue, leukocytes, and blood plasma of rats under photochemically induced focal cerebral ischemia

miRNA expression over different time periods (24 and 48 h) using the quantitative RT-PCR and deep sequencing has been evaluated in a model of photochemically induced thrombosis. A combination of two approaches allowed us to determine the miRNA expression patterns caused by ischemia. Nine miRNAs, inc...

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Bibliographic Details
Published in:Molecular biology (New York) Vol. 51; no. 4; pp. 602 - 613
Main Authors: Gusar, V. A., Timofeeva, A. V., Zhanin, I. S., Shram, S. I., Pinelis, V. G.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01-07-2017
Springer Nature B.V
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Summary:miRNA expression over different time periods (24 and 48 h) using the quantitative RT-PCR and deep sequencing has been evaluated in a model of photochemically induced thrombosis. A combination of two approaches allowed us to determine the miRNA expression patterns caused by ischemia. Nine miRNAs, including let-7f-5p, miR-221-3p, miR-21-5p, miR-30c-5p, miR-30a-3p, miR-223-3p, miR-23a-3p, miR-22-5p, and miR-99a-5p, were differentially expressed in brain tissue and leukocytes of rats 48 h after onset of ischemia. In addition, six miRNAs were differentially expressed in the brain tissue and blood plasma of rats 24 h after exposure, among which miR-145-3p and miR-375-3p were downregulated and miR-19a-3p, miR-92a-3p, miR-188-5p, and miR-532-5p were upregulated. In our opinion, miR-188-5p and miR-532-5p may be considered to be new potential markers of ischemic injury. The level of miRNA expression tended to increase 48 h after the onset of ischemia in brain tissue and leukocytes, which reflects not only the local response in brain tissue due to inflammation, vascular endothelial dysfunction, and disorders of the permeability of the blood–brain barrier, but also the systemic response of the organism to multifactor molecular processes induced by ischemic injury.
ISSN:0026-8933
1608-3245
DOI:10.1134/S0026893317040100