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https://doi.org/10.1523/ENEURO.0152-17.2017
Title: | Meta-analysis of microRNAs dysregulated in the hippocampal dentate gyrus of animal models of epilepsy | Authors: | Srivastava, P.K Roncon, P Lukasiuk, K Gorter, J.A Aronica, E Pitk„nen, A Petretto, E Johnson, M.R Simonato, M |
Keywords: | messenger RNA microRNA microRNA amygdala Article dentate gyrus down regulation epilepsy epileptogenesis gene expression hippocampus inflammation latent period meta analysis nonhuman priority journal synapse upregulation animal dentate gyrus disease model epilepsy metabolism Animals Dentate Gyrus Disease Models, Animal Epilepsy MicroRNAs |
Issue Date: | 2017 | Citation: | Srivastava, P.K, Roncon, P, Lukasiuk, K, Gorter, J.A, Aronica, E, Pitk„nen, A, Petretto, E, Johnson, M.R, Simonato, M (2017). Meta-analysis of microRNAs dysregulated in the hippocampal dentate gyrus of animal models of epilepsy. eNeuro 4 (6) : e0152-17.2017. ScholarBank@NUS Repository. https://doi.org/10.1523/ENEURO.0152-17.2017 | Abstract: | The identification of mechanisms transforming normal to seizure-generating tissue after brain injury is key to developing new antiepileptogenic treatments. MicroRNAs (miRNAs) may act as regulators and potential treatment targets for epileptogenesis. Here, we undertook a meta-analysis of changes in miRNA expression in the hippocampal dentate gyrus (DG) following an epileptogenic insult in three epilepsy models. We identified 26 miRNAs significantly differentially expressed during epileptogenesis, and five differentially expressed in chronic epilepsy. Of these, 13 were not identified in any of the individual studies. To assess the role of these miRNAs, we predicted their mRNA targets and then filtered the list to include only target genes expressed in DG and negatively correlated with miRNA expression. Functional enrichment analysis of mRNA targets of miRNAs dysregulated during epileptogenesis suggested a role for molecular processes related to inflammation and synaptic function. Our results identify new miRNAs associated wiThepileptogenesis from existing data, highlighting the utility of meta-analysis in maximizing value from preclinical data. © 2017 Srivastava et al. | Source Title: | eNeuro | URI: | https://scholarbank.nus.edu.sg/handle/10635/176070 | ISSN: | 2373-2822 | DOI: | 10.1523/ENEURO.0152-17.2017 |
Appears in Collections: | Elements Staff Publications |
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