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Attenuated IL-2 Signaling Rewires Transcriptional and Metabolic Programs in T Cells to Enable Coupling Proliferation and Stemness

GSE223651 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/01/01 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 6 conditions, mostly with about 4 replicates eachGroups 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)
Interleukin-2 (IL-2) is a fundamental cytokine that controls the proliferation and differentiation of T cells1. Its direct administration in vivo has conferred durable, complete responses in patients with metastatic melanoma and renal cell cancer, while it is also used to expand tumor-infiltrating lymphocytes (TILs) in vitro for adoptive cell therapy (ACT)2.
Read the full summary ↓
Unfavorable properties of IL-2 including terminal differentiation of effector T cells3-6, induction of activation-induced cell death (AICD)2, 7, 8, expansion of regulatory T (Treg) cells, and toxicity at high doses, have driven the development of IL-2 variants with modified biological properties9-13. However, how cytokine modifications alter cell fate decisions is not well understood. Here, taking a systems biology approach we have comprehensively elucidated how a non CD25-binding, IL-2-biased agonist (IL-2v)14 reprograms signaling, transcriptional, and metabolic networks of CD8+ T cells in vitro to favor stemness while simultaneously driving expansion and functionality. Such "expansion-stemness state" defines metabolically fit CD8+ T cells capable of superior persistence and tumor control. These findings broaden our fundamental understanding of the effects of IL-2v on T-cell biology and provide an investigational framework for the rational development and evaluation of cytokine variants with clinical relevance.
This dataset
Open GSE223651 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 GSE223651_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 PRJNA927037 and SRA study SRP418929. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly with about 4 replicates each
OT3 ×4 OT5 ×4 OT10 ×4 OT3_bg ×2 OT5_bg ×2 OT10_bg ×2 OT ×1 OT3_noC ×1 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 21 sample titles; they account for 18 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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