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Armoured CAR Tregs with PD1 promoter-driven IL-10 have enhanced suppressive function

GSE287328 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2025/05/06 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 15 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
Homo sapiens (human)
Samples
15 samples: 5 conditions, mostly in triplicateGroups 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
Armored human CAR T(reg) cells with PD1 promoter-driven IL-10 have enhanced suppressive functionScience advances · 2025
Summary (written by the submitters)
The potency of regulatory T cell (Treg) therapy has been transformed through use of chimeric antigen receptors (CAR). However, to date, CAR Treg therapy has not achieved long-lasting tolerance in mouse models, suggesting that additional engineering is required to unlock the full potential of these cells. We previously found that human Tregs produce minimal amounts of IL-10 and have a limited capacity to control innate immunity in comparison to type I regulatory (Tr1) cells.
Read the full summary ↓
Seeking to create “hybrid” CAR Tregs that were engineered with Tr1-like properties, we examined whether the PDCD1 locus could be exploited to endow Tregs with the ability to secrete high levels of IL-10 in a CAR-regulated manner.
Published in
Armored human CAR T(reg) cells with PD1 promoter-driven IL-10 have enhanced suppressive function
Boardman DA, Mangat S, Gillies JK et al. · Science advances 2025 · PMID 40512855 · doi:10.1126/sciadv.adx7845
This dataset
Open GSE287328 in finder → Find more human 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 GSE287328_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 PRJNA1212141 and SRA study SRP558097. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40512855) ↗
Study design
5 conditions, mostly in triplicate
Cas9 A2-CAR Treg, dono ×3 PD1KO A2-CAR Treg, dono ×3 IL10KI A2-CAR Treg, dono ×3 A2-CAR Tr1, dono ×3 A2-CAR Tconv, dono ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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
Datasets on a similar topic

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