GEO series

Differential Circadian Time Modulates of Dentate Gyrus and CA1 Excitation-Inhibition Balance and Seizure Threshold.

GSE317534 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/01/26 Platform GPL17021

At a glance

RNA-seq (gene expression) · mouse · 12 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: 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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.

Summary (written by the submitters)

The circadian rhythm modulates seizure threshold and neuronal excitability. Seizures in temporal lobe epilepsy are more likely to occur during the diurnal phase compared to the nocturnal phase. However, the intrinsic excitability of dentate gyrus granule cells and the state of synaptic transmission in CA1 pyramidal neurons exhibit relatively high excitability during the nocturnal phase.

Read the full summary ↓

To investigate how circadian time modulates neuronal excitability and seizure threshold in the dentate gyrus and CA1, we utilized video-electroencephalography monitoring, systemic administration of pilocarpine, optogenetically induced seizures, mRNA sequencing, and whole-cell patch clam techniques.Our findings demonstrate that circadian time exerts differential modulation on the seizure threshold in dentate gyrus and the CA1.Furthermore, the circadian modulation of the CA1 seizure threshold is similar to that observed with systemic administration of pilocarpine-induced seizures. We also found that circadian rhythms differentially modulate excitatory and inhibitory synaptic transmission, as well as the intrinsic excitability of principal neurons in both the dentate gyrus and CA1. This study emphasizes the significance of circadian regulation in different brain regions concerning seizure threshold and the excitation-inhibition balance. Understanding how circadian rhythms influence hippocampal physiology and seizure threshold can enhance the translational relevance of therapeutics and inform the optimal timing for seizure management。

This dataset

Open GSE317534 in finder → Find more mouse RNA-seq datasets →

Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE317534_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1414431 and SRA study SRP666403. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.

Samples in this study

GSM9473893 CA1_1_Dark
GSM9473894 CA1_1_Day
GSM9473895 CA1_2_Dark
GSM9473896 CA1_2_Day
GSM9473897 CA1_3_Dark
GSM9473898 CA1_3_Day
GSM9473899 DG_1_Dark
GSM9473900 DG_1_Day
GSM9473901 DG_2_Dark
GSM9473902 DG_2_Day
GSM9473903 DG_3_Dark
GSM9473904 DG_3_Day

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Search all mouse RNA-seq datasets in GEO →

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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.