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GADD45G operates as a pathological sensor orchestrating reactive gliosis and neurodegeneration

GSE272208 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/07/16 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 × Astrocytes, GFP vs 3 × Astrocytes, GADD45G vs 3 × Astrocytes, shLuc vs 3 × Astrocytes, shGADD45GGroups 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
GADD45G operates as a pathological sensor orchestrating reactive gliosis and neurodegenerationNeuron · 2025
Summary (written by the submitters)
Emerging evidence indicates that AD progression is associated with astrocytes transitioning from a homeostatic state to a disease-associated state. This transition is characterized by changes in their morphology, gene expression, and function. We here report GADD45G as a key regulator of the pathogenesis of AD.
Published in
GADD45G operates as a pathological sensor orchestrating reactive gliosis and neurodegeneration
Shen T, Tai W, Jiang D et al. · Neuron 2025 · PMID 40409253 · doi:10.1016/j.neuron.2025.04.033
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 GSE272208_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 PRJNA1133818 and SRA study SRP518922. Searching any of these in the dataset finder brings you back here.

Study design
3 × Astrocytes, GFP vs 3 × Astrocytes, GADD45G vs 3 × Astrocytes, shLuc vs 3 × Astrocytes, shGADD45G

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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