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IL-2/IL-15 signaling induces NK cell production of FLT3LG which augments anti-PD-1 immunotherapy

GSE282979 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/09/23 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 24 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
IL2/IL15 Signaling Induces NK Cell Production of FLT3LG, Augmenting Anti-PD-1 ImmunotherapyCancer immunology research · 2026
Summary (written by the submitters)
Natural killer (NK) cells play a critical role in anti-cancer immunity through their direct cytotoxicity and production of cytokines, such as Flt3L. NK cell production of Flt3L controls conventional type I dendritic cell (cDC1) abundance in the tumor and promotes protective immune responses. Here, we show that NK cell production of Flt3l in the tumor is regulated by activation, and that activation by IL-2 and IL-15 uniquely induces Flt3L expression in NK cells.
Read the full summary ↓
IL-2 signaling in NK cells leads to more Flt3L production, increased cDC1 abundance in the tumor, and increased activity of anti-PD-1 immunotherapy in melanoma. Further, NK cell subsets differentially regulate Flt3L in the tumor, with CD11b–CD27+ NK cells in mouse tumors enriched for IL-2-family signaling and upregulating Flt3l upon activation. Further, human CD56brightCD16– NK cells more strongly correlate with cDC1 and FLT3LG levels than other NK cell subsets across multiple human melanoma datasets and cancer indications. This mechanistic insight into NK cell regulation of FLT3LG and control of the NK cell-cDC1 axis provides insights and novel strategies for the development of more effective cancer immunotherapies.
Published in
IL2/IL15 Signaling Induces NK Cell Production of FLT3LG, Augmenting Anti-PD-1 Immunotherapy
Avanessian SC, van den Bijgaart RJE, Chew NW et al. · Cancer immunology research 2026 · PMID 41081432 · doi:10.1158/2326-6066.CIR-24-1259
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 GSE282979_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 PRJNA1191402 and SRA study SRP548096. Searching any of these in the dataset finder brings you back here.

Study design
24 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 24 sample titles: 24 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
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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.