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scRNAseq of LCMV-specific P14 cells: WT, P2RX7-KO and NKG7-KO

GSE337539 Mus musculus (mouse) Single-cell RNA-seq 8 samples Submitted 2026/07/08 Platform GPL34290
At a glance

Single-cell RNA-seq · mouse · 8 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
8 samples
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.
Summary (written by the submitters)
We have used Parse Biosciences to generate single-cell RNAseq libraries from P14 CD8+ T cells (wild-type - WT, P2RX7-KO and NKG7-KO) collected from mice infected with either LCMV-Armstrong or LCMV-Clone 13 (days 0, 7 or 30 post-infection). The goal of this study was to determine the transcriptional alterations in memory or exhausted CD8+ T cells driven by the absence of either P2RX7 (a purinergic receptor that senses extracellular ATP) or NKG7 (a metabolic regulator that can downregulate mTORC1 and simultaneously induce cytotoxicity).
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 GSE337539_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1490245 and SRA study SRP715301. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 8 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run Mayo 0410 … Mayo 0549 and carry no group information.

Samples in this study
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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.