Bioinformatic analysis identifies key transcriptome signatures in temporal lobe epilepsy.

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.