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CD40L-targeting engineered regulatory T cells as a novel cell therapy approach for T cell mediated inflammatory diseases

GSE279659 Mus musculus (mouse) RNA-seq (gene expression) 27 samples Submitted 2026/01/21 Platform GPL30172Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 27 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
27 samples: 27 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
Engineered CD40-biosensor-expressing Treg cells as a cell therapy approach for inflammatory diseasesMolecular therapy : the journal of the American Society of Gene Therapy · 2026
Summary (written by the submitters)
Restoring immune tolerance by engineered regulatory T cell (Treg) cell therapy is a promising strategy to treat patients suffering from autoimmune and inflammatory diseases. However, in many of these conditions, relevant disease-driving antigens are unknown. Therefore, suitable target (auto-)antigens for antigen-specific Treg cell therapy are rarely available.
Read the full summary ↓
Here, we present a novel artificial immune biosensor for Treg cells that circumvents this limitation by targeting the immune costimulatory protein CD40-ligand (CD40L), transiently expressed by activated T cells. The artificial immune receptor (AIR) comprises a CD40-derived extracellular binding domain, an intracellular costimulatory signaling domain and a T cell receptor signaling domain of the CD3-ζ chain. After interaction with its membrane-bound ligand, this synthetic receptor triggers a TCR-like activation program in Treg cells including induction of Treg effector molecules and cell proliferation. In a mouse model of graft-versus-host disease, transfer of Treg cells expressing the CD40-AIR significantly improved survival and demonstrated immune control of the alloantigen-reactive T cell compartment. The expression and signaling of the corresponding human CD40-AIR in human Treg cells illustrate the potential for translating this concept. Engineering Treg cells with a CD40L-sensing AIR, that detects activated T cells and, thereby, induces Treg cell activation, presents a promising therapeutic approach for a broad range of T cell mediated inflammatory diseases.
Published in
Engineered CD40-biosensor-expressing Treg cells as a cell therapy approach for inflammatory diseases
Bittner S, Schmidleithner L, Ruhland B et al. · Molecular therapy : the journal of the American Society of Gene Therapy 2026 · PMID 41521559 · doi:10.1016/j.ymthe.2026.01.002
This dataset
Open GSE279659 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 GSE279659_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 PRJNA1173857 and SRA study SRP539021. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41521559) ↗
Study design
27 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 27 sample titles: 27 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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