Bioinformatic analysis identifies key transcriptome signatures in temporal lobe epilepsy.

ABSTRACT:

Aims

To identify transcriptome signatures underlying epileptogenesis in temporal lobe epilepsy (TLE).

Methods

Robust rank aggregation analysis was used to integrate multiple microarrays in rodent models of TLE and determine differentially expressed genes (DEGs) in acute, latent, and chronic stages. Functional annotation and protein-protein interaction analysis were performed to explore the potential functions of the DEGs and identify hub genes with the highest intramodular connectivity. The association between hub genes and hippocampal sclerosis/seizure frequency was analyzed using publicly available RNA-sequencing datasets from TLE patients. We subsequently established a pilocarpine-induced status epilepticus (SE) model in rats and validated mRNA expression of hub genes by

SUBMITTER: Chen QL 

PROVIDER: S-EPMC7702228 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature