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High-throughput sequencing analysis of differentially expressed miRNAs and target genes in ischemia/reperfusion injury and apelin-13 neuroprotection
- Source :
- Neural Regeneration Research, Vol 13, Iss 2, Pp 265-271 (2018)
- Publication Year :
- 2018
- Publisher :
- Wolters Kluwer Medknow Publications, 2018.
-
Abstract
- miRNAs regulate a variety of biological processes through pairing-based regulation of gene expression at the 3′ end of the noncoding region of the target miRNA. miRNAs were found to be abnormally expressed in ischemia/reperfusion injury models. High-throughput sequencing is a recently developed method for sequencing miRNAs and has been widely used in the analysis of miRNAs. In this study, ischemia/reperfusion injury models were intracerebroventricularly injected with 50 μg/kg apelin-13. High-throughput sequencing showed that 357 known miRNAs were differentially expressed among rat models, among which 78 changed to > 2-fold or < 0.5-fold. Quantitative real-time polymerase chain reaction was selected to confirm the expression levels of four miRNAs that were differentially expressed, the results of which were consistent with the results of high-throughput sequencing. Gene Ontology analysis revealed that the predicted targets of the different miRNAs are particularly associated with cellular process, metabolic process, single-organism process, cell, and binding. Kyoto Encyclopedia of Gene and Genome analysis showed that the target genes are involved in metabolic pathways, mitogen-activated protein kinase signaling pathway, calcium signaling pathway, and nuclear factor-κB signaling pathway. Our findings suggest that differentially expressed miRNAs and their target genes play an important role in ischemia/reperfusion injury and neuroprotection by apelin-13.
Details
- Language :
- English
- ISSN :
- 16735374
- Volume :
- 13
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Neural Regeneration Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f293124006846a28efa86f2fbf20e96
- Document Type :
- article
- Full Text :
- https://doi.org/10.4103/1673-5374.226397