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Heterogeneity and Homogeneity in Treg responses to Interleukin-2 [RNAseq2: Differential activation of Immune cell types by IL2-Immunocytokines]

GSE302070 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2025/11/03 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 45 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
45 samples: 45 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
Dynamics and variegation in the Treg response to Interleukin-2Proceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
IL2 is an immune-regulatory cytokine that activates both effector and T regulatory cells—a dual function leveraged in immunotherapy. However, pure IL2 induces both activation and suppression, and requires toxic doses due to its short half-life. To address this, the Spangler Lab at Johns Hopkins developed IL2 immunocytokines (IL2-ICs)—antibody-conjugated IL2 fusion proteins targeting IL2Ra (Tregs) or IL2Rb (effector cells), with extended serum half-life.
Read the full summary ↓
We tested IL2-ICs in Foxp3IRES-GFP mice, harvesting cells at 4, 24, and 64 hours post-injection for bulk RNA-seq. Transcriptomic analysis showed IL2-ICs induced sustained IL2 responses with partial cell-type bias.
Published in
Dynamics and variegation in the Treg response to Interleukin-2
Seddu K, Chowdhary K, Henderson M et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 41264258 · doi:10.1073/pnas.2518991122
This dataset
Open GSE302070 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 GSE302070_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 PRJNA1288458 and SRA study SRP599177. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41264258) ↗
Study design
45 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 45 sample titles: 45 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.