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Effects of astrocytic absence of glucose transporter 1 (GLUT1) on the cortical astrocytic translatome

GSE223687 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/01/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 5 × WT_TRAP vs 5 × WT_Background vs 4 × Astro_Glut1_KO_TRAP vs 4 × Astro_Glut1_KO_BackgroundGroups 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
Astrocytic GLUT1 deletion in adult mice enhances glucose metabolism and resilience to strokeNature communications · 2025
Summary (written by the submitters)
Brain activities rely on a steady supply of blood glucose, which is shuttled into the brain by glucose transporters and used to fuel metabolic pathways and energy demands in all neural cells. Astrocytes express glucose transporter 1 (GLUT1), which is considered the key glucose uptake route for glycolytic astrocytes to ensure their metabolic support functions to neurons and other glial cells in vivo.
Read the full summary ↓
GLUT1 deficiency causes severe developmental impairments, however, the role of GLUT1 in astroglial glucose metabolism and brain function is poorly understood. Here we examine the effect of astrocytic GLUT1 deletion on the active translatome of astrocytes in the the mouse cortex.
Published in
Astrocytic GLUT1 deletion in adult mice enhances glucose metabolism and resilience to stroke
Thieren L, Zanker HS, Droux J et al. · Nature communications 2025 · PMID 40328784 · doi:10.1038/s41467-025-59400-2
This dataset
Open GSE223687 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 GSE223687_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 PRJNA927282 and SRA study SRP419004. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40328784) ↗
Study design
5 × WT_TRAP vs 5 × WT_Background vs 4 × Astro_Glut1_KO_TRAP vs 4 × Astro_Glut1_KO_Background

Supports a between-group comparison across 18 samples.

How we read this: 4 replicated groups read from 18 sample titles; they account for 18 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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