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Inhaled Xenon modulates microglia and ameliorates disease in mouse models of amyloidosis and tauopathy

GSE277025 Mus musculus (mouse) RNA-seq (gene expression) 192 samples Submitted 2025/01/15 Platform GPL18573Platform GPL24247Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 192 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
192 samples: 189 distinct titles, 1 of them repeatedGroups 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
Inhaled xenon modulates microglia and ameliorates disease in mouse models of amyloidosis and tauopathyScience translational medicine · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Inhaled xenon modulates microglia and ameliorates disease in mouse models of amyloidosis and tauopathy
Brandao W, Jain N, Yin Z et al. · Science translational medicine 2025 · PMID 39813317 · doi:10.1126/scitranslmed.adk3690
This dataset
Open GSE277025 in finder → Find more 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 GSE277025_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 PRJNA1160251 and SRA study SRP512004. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39813317) ↗
Study design
189 distinct titles, 1 of them repeated
Ifngr1Flox ×4

How we read this: Read from 192 sample titles: 189 distinct titles with little repetition. 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

+ 152 more — browse all 192 samples with per-sample file links →

Datasets on a similar topic

Search all RNA-seq datasets in GEO →

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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.