Transcriptomic profiling of the intra-amygdala kainate mouse model across the stages of epileptogenesis
RNA-seq (gene expression) · mouse · 36 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 36 samples: 6 conditions, mostly with about 6 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Cross-species transcriptomic analysis of rodent model fidelity to human mesial temporal lobe epilepsyNature communications · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE319769_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1425071 and SRA study SRP677852. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 6 replicated groups read from 36 sample titles; they account for 36 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9526033 iaka3_1 iaka3
- GSM9526034 iaka3_2 iaka3
- GSM9526035 iaka3_3 iaka3
- GSM9526036 iaka3_4 iaka3
- GSM9526037 iaka3_5 iaka3
- GSM9526038 iaka3_7 iaka3
- GSM9526039 iasl3_2 iasl3
- GSM9526040 iasl3_3 iasl3
- GSM9526041 iasl3_4 iasl3
- GSM9526042 iasl3_5 iasl3
- GSM9526043 iasl3_6 iasl3
- GSM9526044 iasl3_7 iasl3
- GSM9526045 iaka7_2 iaka7
- GSM9526046 iaka7_3 iaka7
- GSM9526047 iaka7_4 iaka7
- GSM9526048 iaka7_5 iaka7
- GSM9526049 iaka7_6 iaka7
- GSM9526050 iaka7_7 iaka7
- GSM9526051 iasl7_1 iasl7
- GSM9526052 iasl7_2 iasl7
- GSM9526053 iasl7_3 iasl7
- GSM9526054 iasl7_4 iasl7
- GSM9526055 iasl7_5 iasl7
- GSM9526056 iasl7_6 iasl7
- GSM9526057 iaka14_1 iaka14
- GSM9526058 iaka14_2 iaka14
- GSM9526059 iaka14_3 iaka14
- GSM9526060 iaka14_5 iaka14
- GSM9526061 iaka14_7 iaka14
- GSM9526062 iaka14_9 iaka14
- GSM9526063 iasl14_1 iasl14
- GSM9526064 iasl14_2 iasl14
- GSM9526065 iasl14_3 iasl14
- GSM9526066 iasl14_4 iasl14
- GSM9526067 iasl14_5 iasl14
- GSM9526068 iasl14_6 iasl14
- GSE303512 Single-cell RNA Sequencing of Wildtype and/or Dazl Mutant Mouse Ovarian Cells Across Embryonic Developmental Stages (E10.5 (Wild type), E11.5 (Wild type and Dazl-/-), E12.5 (Dazl-/-), E15.5 (Wild type) 5 samples shares across, stages
- GSE305702 RNA-seq of gubernaculum and testis from wild-type, cetacean INSL3 knock-in, and INSL3 knockout mice across developmental stages 39 samples shares across, stages
- GSE237750 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin 2113 samples shares across
- GSE332798 Transcriptomic profiling of morphine and LPS exposure across mouse brain regions 208 samples shares across
- GSE237737 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [adipose] 705 samples shares across
- GSE237743 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [liver] 705 samples shares across
- GSE237747 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [skeletal muscle] 703 samples shares across
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares across
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.