GEO series

ICOSL, OX40L, and CD30L Control Persistence of Asthmatic CD4 Trm Cells

GSE234848 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2025/02/13 Platform GPL24247

At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 2 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: ICOSL, OX40L, and CD30L control persistence of asthmatic CD4 tissue-resident memory CD4 T cellsThe Journal of allergy and clinical immunology · 2025

Summary (written by the submitters)

Tissue-resident memory T cells (Trm) are central to maintaining autoimmune and inflammatory disease. Modulation of their continued replenishment in tissues has significant implications for clinical treatment. In a murine model of lung inflammation, scRNA-seq revealed the complexity of antigen-responding CD4+ Trm, encompassing many pathogenic subpopulations including Th2, Th17, Th1 and CTL, but suggested several targets for therapeutic intervention, with significant co-expression of the costimulatory molecules OX40, ICOS, CD30, and CD30L throughout these T cells.

Read the full summary ↓

Inhibiting ICOSL alone, or co-blocking OX40L and CD30L, with neutralizing antibodies, only partially suppressed the response of Trm to recall antigen, whereas inhibiting all three molecules strongly reduced the accumulation of Trm-derived effector memory T cells, and ablated all aspects of lung inflammation. Most importantly, transient therapeutic inhibition of these molecules together prevented the continued accumulation and long-term persistence of induced Trm, leading to a state of tolerance such that subsequent exposure to antigen failed to re-establish a pathogenic inflammatory response. These data show that costimulatory molecules are critical for reactivation and persistence of pathogenic CD4+ Trm, and reveal several therapeutic combinations that are applicable for treatment of lung inflammatory disease and potentially multiple autoimmune diseases.

Published in

ICOSL, OX40L, and CD30L control persistence of asthmatic CD4 tissue-resident memory CD4 T cells

Sethi GS, Ramamoorthy Premlal AL, Chawla A et al. · The Journal of allergy and clinical immunology 2025 · PMID 39921040 · doi:10.1016/j.jaci.2024.12.1097

This dataset

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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 GSE234848_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: 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 PRJNA983330 and SRA study SRP443180. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39921040) ↗

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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