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Chronic NK cell activation results in a dysfunctional, tissue resident-like state mediated by KLF2 deficiency

GSE302999 Homo sapiens (human) RNA-seq (gene expression) 59 samples Submitted 2025/12/20 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 59 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
59 samples: 59 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
Chronic NK cell activation results in a dysfunctional, tissue resident-like state mediated by KLF2 deficiencyBlood · 2025
Summary (written by the submitters)
Adoptive transfer of NK cells can induce complete remissions in 30-50% of patients with refractory acute myeloid leukemia and lymphoma. While blood chimerism occurs, attaining functional homing to the site of tumor without exhaustion has been elusive. During chronic infections and tumorigenesis, exposure to activating stimuli weakens the effector activity of NK cells.
Read the full summary ↓
Despite this knowledge, there is little known about the mechanisms that govern this dysregulation and whether these disparate activating stimuli use distinct pathways to downregulate effector immunity. In this study, we reveal that chronic NK cell activating receptor (NKAR) stimulation and chronic IL-15 exposure impart distinct modes of dysregulation, with NKAR stimulation inducing a tissue resident-like state that resembles that of tumor-infiltrating NK cells in cancer patients. Using loss- and gain-of-function studies, we identify the transcription factor KLF2 as a master regulator of the NK cell response to chronic activation and provide evidence that KLF2 overexpression promotes NK cell cytotoxicity, cytokine production, and chemotaxis, and inhibits the development of dysfunctional, tissue resident-like features. Using KLF2 reporter mice, we show that in certain tissues, tissue resident NK cells are predominantly KLF2-negative while circulating NK cells in these tissues are overwhelmingly KLF2 + . Lastly, using mixed bone marrow chimeras, we demonstrate that conditional KLF2 deficiency in NK cells leads to altered homing and the acquisition of tissue resident-like features in vivo. Together, these findings highlight the profound changes NK cells undergo during prolonged activation and advance our understanding of how some NK cell therapies fail during malignant relapse.
Published in
Chronic NK cell activation results in a dysfunctional, tissue resident-like state mediated by KLF2 deficiency
Myers JA, Huang RS, Phung SK et al. · Blood 2025 · PMID 40857665 · doi:10.1182/blood.2024027763
This dataset
Open GSE302999 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 GSE302999_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 PRJNA1293329 and SRA study SRP601777. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40857665) ↗
Study design
59 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 59 sample titles: 59 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

+ 19 more — browse all 59 samples with per-sample file links →

Datasets on a similar topic

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