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Receptor-tethered orthogonal IL-2 enhances regulatory T cell therapy

GSE285527 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/07/17 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × EV Treg, vs 3 × EV Treg with IL2, vs 3 × 1G12t Treg, vs 3 × 3A10t Treg,Groups 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.
Summary (written by the submitters)
Regulatory T cell (Treg) therapy is an emerging platform for controlling immune overactivation. The efficacy of Treg therapy is limited by the poor persistence of infused Tregs due to insufficient IL-2, which is essential for Treg survival and function. IL-2 activates many immune cells besides Tregs, imposing a challenge for the selective provision of IL-2 to infused Tregs.
Read the full summary ↓
In this study, we found infusions of orthogonal (ortho) IL-2 failed to enhance Tregs engineered with a corresponding orthoIL-2 receptor (IL-2R) in a mouse model of autoimmune diabetes. We then developed a receptor-tethered orthoIL-2 by optimizing the combination of IL-2, IL-2R, and the linker connecting them to achieve autocrine signaling selectively in engineered Tregs. Tregs expressing the tethered orthoIL-2 showed autocrine IL-2 signaling in vitro, enhanced CD25, CTLA-4, and Foxp3 expression, persisted without exogenous IL-2 in vivo, and prevented autoimmune diabetes using as few as 2,000 Tregs. Knocking the tethered orthoIL-2 construct into the Foxp3 locus enabled Treg-specific expression, with the additional benefit of positively reinforcing tethered orthoIL-2 expression through the activation of the Foxp3 gene by enhanced IL-2 signaling. Together, these results illustrate a safe and effective cell-engineering solution for overcoming Tregs’ dependency on exogenous IL-2, thereby achieving superior therapeutic efficacy.
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 GSE285527_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 PRJNA1204308 and SRA study SRP554418. Searching any of these in the dataset finder brings you back here.

Study design
3 × EV Treg, vs 3 × EV Treg with IL2, vs 3 × 1G12t Treg, vs 3 × 3A10t Treg,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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
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