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Moesin deficiency leads to microglia-mediated synaptic pruning and social abnormality: a post-GWAS functional genomics study

GSE293405 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2025/06/11 Platform GPL17021
At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
2 samples
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)
Genome-wide association studies (GWAS) implicated a noncoding antisense RNA designated as MSNP1AS in susceptibility to autism spectrum disorders (ASD). MSNP1AS binds to and downregulates the Moesin (MSN) transcript and is highly overexpressed in postmortem cerebral cortex of individuals with ASDs. However, the mechanistic link between Moesin loss in vivo and ASD-related phenotypic traits remains enigmatic.
Read the full summary ↓
Here, we generated Moesin knockout (Msn KO) mice, on which neurobehavioral tests revealed impaired social novelty and repetitive behaviors. Single-cell transcriptomics and electrophysiology recording indicated activated status of the microglia, leading to aberrant C1q-dependent synaptic pruning followed by synaptic deficits in medial prefrontal cortex in KO mice. Aberrant regulatory pathway from sequencing data guided us to block type I interferon pathway by IFNAR1 blocking antibody via nasal administration, which rescued microglial abnormalities and social deficits in Msn KO mice. Taken together, Moesin mediates interferon signaling and synaptic pruning to affect ASD-like behaviors, providing a functional genetic link between MSN and neurobehavioral abnormalities.
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 GSE293405_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1244378 and SRA study SRP575465. Searching any of these in the dataset finder brings you back here.

Samples in this study

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