Inhaled Xenon modulates microglia and ameliorates disease in mouse models of amyloidosis and tauopathy [Tdt Tomato - mice]
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE273541_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1142073 and SRA study SRP523243. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 16 sample titles: 16 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.
- GSM8431856 Sample_1_Microglia_TdT
- GSM8431857 Sample_2_Microglia_DN
- GSM8431858 Sample_3_Microglia_TdT
- GSM8431859 Sample_4_Microglia_DN
- GSM8431860 Sample_5_Microglia_TdT
- GSM8431861 Sample_6_Microglia_DN
- GSM8431862 Sample_7_Microglia_TdT
- GSM8431863 Sample_8_Microglia_DN
- GSM8431864 Sample_9_Microglia_TdT
- GSM8431865 Sample_10_Microglia_DN
- GSM8431866 Sample_11_Microglia_TdT
- GSM8431867 Sample_12_Microglia_DN
- GSM8431868 Sample_13_Microglia_TdT
- GSM8431869 Sample_14_Microglia_DN
- GSM8431870 Sample_15_Microglia_TdT
- GSM8431871 Sample_16_Microglia_DN
- GSE254104 Alzheimer’s disease-linked risk alleles elevate microglial cGAS-associated senescence and neurodegeneration in a tauopathy model [snRNAseq] 27 samples shares microglia, tauopathy
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares microglia
- GSE272755 Transcriptional effects of lysosome stress on mouse bone marrow-derived macrophages and primary microglia 263 samples shares microglia
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares microglia
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares microglia
- GSE327428 GPR34 regulation of disease-associated microglial states in mice 96 samples shares microglia
- GSE283401 Gene expression profile of Fcrls+/CD11b+/Ly6C- microglia from young and old mice after abdominal surgery 96 samples shares microglia
- GSE302808 Depletion of Peripheral Monocytes Alters Long-Term Gene Expression in Microglia in a Murine Model of Traumatic Brain Injury 84 samples shares microglia
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.