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Transcriptome profiles of mouse cortical cultures and the brain treated with fluoxetine, sertraline or citalopram

GSE292948 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/03/30 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 conditions, mostly in triplicateGroups 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
Distinct genetic responses to fluoxetine sertraline and citalopram in mouse cortical neuronsiScience · 2025
Summary (written by the submitters)
Selective serotonin reuptake inhibitors (SSRIs) are one of the most prescribed antidepressant classes in recent decades, with the development of numerous variants. While the primary action of these medications involves the inhibition of serotonin reuptake, the observed therapeutic efficacy exhibits interindividual variability.
Read the full summary ↓
In order to elucidate the molecular mechanisms underlying their pharmacological actions, this study examined the alteration in the transcriptome following treatment of each SSRI—fluoxetine, sertraline, or citalopram— or vehicle in cultured cortical neurons and the medial prefrontal cortex (mPFC) of mice (Mus musculus, Slc:ICR).
Published in
Distinct genetic responses to fluoxetine sertraline and citalopram in mouse cortical neurons
Yamamoto H, Abe K · iScience 2025 · PMID 41244567 · doi:10.1016/j.isci.2025.113800
This dataset
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.

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 GSE292948_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1242215 and SRA study SRP573231. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
Cortical cultures, Fluoxetine ×3 Cortical cultures, Sertraline ×3 Cortical cultures, Citalopram ×3 Cortical cultures, Vehicle ×3 mPFC, Fluoxetine ×3 mPFC, Sertraline ×3 mPFC, Citalopram ×3 mPFC, Vehicle ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.

Samples in this study
Datasets on a similar topic

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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.