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Hippocampal small RNAs from patients with schizophrenia induce specific cognitive and neural phenotypes in mice [mouse]

GSE325450 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/07/29 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × MiceHippocampalTissue_RNA_Vehicle vs 5 × MiceHippocampalTissue_RNA_HealthyControlPool vs 5 × MiceHippocampalTissue_RNA_SchizophreniaPool1 vs 5 × MiceHippocampalTissue_RNA_SchizophreniaPool2Groups 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
Hippocampal small RNAs from patients with schizophrenia induce specific cognitive and neural phenotypes in miceCell death discovery · 2026
Summary (written by the submitters)
Schizophrenia is a neuropsychiatric syndrome characterized by the presence of psychotic, negative and cognitive symptoms. Cognitive deficits can appear even before the onset of the first psychotic episode and their severity has been recently associated with altered levels of small RNAs (sRNAs), including microRNAs. Nevertheless, how the dysregulation of sRNAs can lead to cognitive impairments and their role in the onset and pathophysiology of the disorder are still unknown.
Read the full summary ↓
In our research, we hypothesized that hippocampal sRNAs generated in patients with schizophrenia could contribute to the impairment of specific cognitive domains that are altered in the disease. Through deep sequencing, we identified novel dysregulated sRNAs (including microRNAs and tRNA derived fragments) in the hippocampus of patients with schizophrenia. Furthermore, when injected in the hippocampus of wild-type mice, animals exhibited an impairment in spatial short-term memory accompanied by a reduction in spine density of CA1 pyramidal neurons. RNA-sequencing of the hippocampus of injected mice revealed changes in key pathways related to neurotransmission. Specifically, we found higher levels of the presynaptic marker for Parvalbumin interneurons synaptotagmin II (Syt2), mirroring observations made in the brain of schizophrenia patients. We also detected subtle morphological changes in mouse hippocampal microglia in response to sRNAs from affected individuals. Our results point out that sRNAs can contribute to cognitive symptoms in schizophrenia through synaptic alterations, highlighting these molecules as promising novel therapeutic targets for the disorder.
Published in
Hippocampal small RNAs from patients with schizophrenia induce specific cognitive and neural phenotypes in mice
Galán-Ganga M, Guisado-Corcoll A, Sancho-Balsells A et al. · Cell death discovery 2026 · PMID 42185248 · doi:10.1038/s41420-026-03166-z
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 GSE325450_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 PRJNA1439944 and SRA study SRP685241. Searching any of these in the dataset finder brings you back here.

Study design
5 × MiceHippocampalTissue_RNA_Vehicle vs 5 × MiceHippocampalTissue_RNA_HealthyControlPool vs 5 × MiceHippocampalTissue_RNA_SchizophreniaPool1 vs 5 × MiceHippocampalTissue_RNA_SchizophreniaPool2

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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
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