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Bulk RNA sequencing of PD1hi vs PD1low TCF-1+ P14 precursor cells sorted 7 days after infection with LCMV Armstrong [bulk RNA-seq]

GSE278803 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/02/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 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.
Paper
Precursors of exhausted T cells are pre-emptively formed in acute infectionNature · 2025
Summary (written by the submitters)
T-cell exhaustion limits effector T-cell function in chronic infection and tumors. The development of these hypofunctional T-cells was considered to require stimulatory conditions met only upon persisting exposure to antigen and inflammation. In sharp contrast, we found strong diversity among precursor T-cells formed early in acute infections.
Read the full summary ↓
This includes precursors of normal memory T-cells and cells with phenotypes, gene-expression, and epigenetic profiles that resemble precursors of exhausted T-cells found in chronic infections. We demonstrate that high ligand affinity promotes, and PD-1 signaling restricts the development of these precursors. While these exhausted precursors are initially frequently found, they decline without being completely lost in infections the immune system resolves. We therefore concluded that T-cells are preemptively generated irrespectively of the outcome of the infection.
Published in
Precursors of exhausted T cells are pre-emptively formed in acute infection
Chu T, Wu M, Hoellbacher B et al. · Nature 2025 · PMID 39778709 · doi:10.1038/s41586-024-08451-4
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 GSE278803_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 PRJNA1168958 and SRA study SRP536638. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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