← BioTransfer GEO Dataset Finder
GEO series

Transcriptional profiling of striatum from the Q140 mouse model of Huntington's disease, from A rare genetic variant confers resistance to neurodegeneration across multiple neurological disorders by augmenting selective autophagy

GSE281823 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2025/07/31 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 10 conditions, mostly with about 4 replicates eachGroups 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
A rare genetic variant confers resistance to neurodegeneration across multiple neurological disorders by augmenting selective autophagyNeuron · 2025
Summary (written by the submitters)
Striatum isolated from 6 m/o wildtype, Q140 knock-in mice in the presence or absence of Alfy overexpression. Alfy overexpression achieved by knockin of human WDFY3 cDNA into Rosa26 locus. Total RNA seq analysis.
Published in
A rare genetic variant confers resistance to neurodegeneration across multiple neurological disorders by augmenting selective autophagy
Croce KR, Ng C, Pankiv S et al. · Neuron 2025 · PMID 40945514 · doi:10.1016/j.neuron.2025.08.018
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 GSE281823_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 PRJNA1185766 and SRA study SRP545067. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly with about 4 replicates each
striatum, 6 months old, Q140, female, ×4 striatum, 6 months old, Q140, male, ×4 striatum, 6 months old, with Q140+Alfy het, f… ×4 striatum, 6 months old, with Q140+Alfy het,ma… ×4 striatum, 6 months old, with Q140+Alfy homo, … ×4 striatum, 6 months old, with Q140+Alfy homo, … ×4 striatum, 6 months old, with Alfy het, female, ×4 striatum, 6 months old, with Alfy het, male, ×4 +2 more

Supports a between-group comparison across 40 samples.

How we read this: 10 replicated groups read from 40 sample titles; they account for 40 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.