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Delayed crosstalk between astrocytes and neurons leads to depressive-like behaviors

GSE282783 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/01/01 Platform GPL24247

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: 3 × P50 prefrontal cortex RNA-seq_biol vs 3 × prefrontal cortex, hGFAP-Cre_Egfr-cko_biolGroups 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 proper function establishment of nervous system is characterized by closely crosstalk among multiple cell types during the critical periods. Impeding or delaying the crosstalk results in abnormal neural functions and neurodevelopmental disorders. However, the lack of robust mouse models to study the crosstalk between astrocytes and neurons thus renders unclear the implications of impeding such interactions.

Read the full summary ↓

Here we found that Egfr knockout led to the absence of astrocytes during the critical period of neuronal maturation, with recovery observed in adult mice, providing an exceptional opportunity to investigate the consequences of delaying crosstalk between astrocytes and neurons. We show that glial progenitor cells exhibit a rounded and smooth morphology, displaying few or no protrusions, in the absence of Egfr, which stands in stark contrast to the multi-protrusion morphology observed in the control cells. This phenomenon arises as a direct consequence of the impaired Egfr-pERK-Epb41l2 signaling axis, leading to delayed crosstalk between astrocytes and neurons. This delay results in reduced neuronal dendritic complexity and decreased neuronal excitability (due to damage to the Sema6a-Plxna2/4 receptor pair between astrocytes and neurons during the critical period), ultimately leading to the manifestation of depressive-like behaviors in adult mice.

This dataset

Open GSE282783 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 GSE282783_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 PRJNA1190409 and SRA study SRP547562. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

3 × P50 prefrontal cortex RNA-seq_biol vs 3 × prefrontal cortex, hGFAP-Cre_Egfr-cko_biol

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 6 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

GSM8650572 P2 cortex single cell RNA-seq
GSM8650573 cortex, hGFAP-Cre_Egfr-cko
GSM8650574 cortex, hGFAP-Cre_MAP2K1/2-dcko
GSM8650575 E17 cortex single cell RNA-seq
GSM8650576 P50 prefrontal cortex RNA-seq
GSM8650577 P50 prefrontal cortex RNA-seq_biol rep 1 P50 prefrontal cortex R…
GSM8650578 P50 prefrontal cortex RNA-seq_biol rep 2 P50 prefrontal cortex R…
GSM8650579 P50 prefrontal cortex RNA-seq_biol rep 3 P50 prefrontal cortex R…
GSM8650580 prefrontal cortex, hGFAP-Cre_Egfr-cko
GSM8650581 prefrontal cortex, hGFAP-Cre_Egfr-cko_biol rep 1 prefrontal cortex, hGFA…
GSM8650582 prefrontal cortex, hGFAP-Cre_Egfr-cko_biol rep 2 prefrontal cortex, hGFA…
GSM8650583 prefrontal cortex, hGFAP-Cre_Egfr-cko_biol rep 3 prefrontal cortex, hGFA…

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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.