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Transcriptomic profiling of the intra-amygdala kainate mouse model across the stages of epileptogenesis

GSE319769 Mus musculus Expression profiling by high throughput sequencing 36 samples Submitted 2026/04/16 Platform GPL34290
Summary
Mesial temporal lobe epilepsy (MTLE) is a prevalent form of drug-resistant epilepsy often associated with hippocampal sclerosis (HS). While various rodent models exist to study this condition, their molecular fidelity to human MTLE requires detailed evaluation. As part of a larger cross-species transcriptomic meta-analysis, we generated this dataset to characterize the intra-amygdala kainate mouse model, which provides a unique framework for studying status epilepticus-induced epileptogenesis. We performed bulk RNA-sequencing on hippocampal tissues to capture the evolving molecular landscape during the acute, intermediate, and chronic phases following seizure induction. This dataset allows for the investigation of key epileptogenic processes, including neuroinflammation, neuronal death, and reactive gliosis, and serves as a critical component in comparing chemical induction models against human MTLE pathophysiology.
Published in
Cross-species transcriptomic analysis of rodent model fidelity to human mesial temporal lobe epilepsy
Kim J, Lee S, Kim B et al. · Nature communications 2026 · PMID 42230582 · doi:10.1038/s41467-026-73796-5
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Direct links to NCBI, no account and no request form: the whole study as GSE319769_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 36 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1425071 and SRA study SRP677852. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 6 replicates each
iaka3 ×6 iasl3 ×6 iaka7 ×6 iasl7 ×6 iaka14 ×6 iasl14 ×6

Supports a between-group comparison across 36 samples.

6 replicated groups read from 36 sample titles; they account for 36 of them. Check it against the sample list below before relying on it.

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