Please use this identifier to cite or link to this item: 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
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