GEO series

CD51 expression delineates functionally distinct astrocyte subpopulations in neural circuits

GSE312439 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/12/08 Platform GPL34290

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
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)

Astrocytes execute a diverse range of tasks that facilitate brain physiology, raising the possibility that these diverse astrocytic roles are enabled by functionally distinct subtypes1,2. Recent studies identified molecular diversity amongst astrocytes3, however whether this molecular heterogeneity reflects specialized astrocyte subpopulations with distinct functions remains unknown.

Read the full summary ↓

Leveraging prior molecular and functional studies4, we generated a CD51-FLP mouse line that enables the direct comparison of functional properties between CD51+ and CD51- astrocyte subpopulations in neural circuits in vivo. Here we show that CD51+ and CD51- astrocytes are endowed with unique morphological, physiological, and developmental properties in both the cortex and hippocampus. Functional studies demonstrate that CD51+ astrocytes selectively promote synapse formation in the developing cortex and circuit plasticity in the hippocampus. Mechanistically, we found that CD51+ astrocytes function through glypican 6 to promote synapse formation in the cortex, while CD51 itself drives circuit plasticity in the hippocampus. Applying these findings to brain injury, we found that exploiting the unique properties of CD51+ astrocytes promotes functional recovery after stroke through enhanced synaptic remodeling. Taken together, our studies identify specialized astrocyte subpopulations that exhibit distinct functional properties in the developing, mature, and injured brain.

This dataset

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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 GSE312439_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 PRJNA1373296 and SRA study SRP651175. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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