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Pan organ and time course analysis of T cells in acute LCMV (armstrong) infection (day 30) [I38]

GSE301960 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/03/23 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 30 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
Proteostasis sustains T cell differentiation potential and tumor-infiltrating lymphocyte functionCell · 2026
Summary (written by the submitters)
This study is part of the immgenT Open Source Project, specifically from IGT38, which focuses on a pan-organ and time course analysis of T cells in acute LCMV (Armstrong) infection at day 30 post-infection. The dataset includes T cells isolated from multiple organs: spleen, prostate, submandibular gland, bone marrow, mesenteric lymph node, small intestine epithelium, small intestine lamina propria, lung, and mediastinal lymph node.
Read the full summary ↓
7-week-old male C57BL/6J mice infected intraperitoneally with 2×10^5 PFU LCMV Armstrong, and T cells were analyzed at 60 days post-infection (dpi). The study includes both endogenous T cells and adoptively transferred P14 and SMARTA TCR transgenic T cells. Mice received IV 100,000 SMARTA (CD45.1.2) and 50,000 P14 (CD45.1) T cells one day before infection.
Published in
Proteostasis sustains T cell differentiation potential and tumor-infiltrating lymphocyte function
Scharping NE, Ge X, Matias MI et al. · Cell 2026 · PMID 42061400 · doi:10.1016/j.cell.2026.02.019
This dataset
Open GSE301960 in finder → Find more mouse 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 GSE301960_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 PRJNA1287787 and SRA study SRP598885. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42061400) ↗
Study design
30 samples, each with a distinct title — no replicated groups

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

How we read this: Read from 30 sample titles: 30 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
Datasets on a similar topic

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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.