← BioTransfer GEO Dataset Finder
GEO series

Regulation of NK cell transcriptome by Hif1a and Ahr under hypoxia

GSE292264 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/02/17 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 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
Functional segregation of HIF-1α and AhR controls NK cell responsiveness under hypoxiaiScience · 2026
Summary (written by the submitters)
NK cells responses can be significantly affected by microenvironmental conditions. In pathological conditions, oxygen concentration in tissues can be reduced, lading to hypoxia. Cells adapt to hypoxia by stabilizing transcription factor HIF-1a that mediates its regulatory functions by modifying gene transcription. In many cells, HIF-1a pathway intersect with the activation of the transcription factor AhR due to shared transcriptional co-activator. Here, we investigated how HIF-1a and AhR regulate murine NK cell transcriptome under hypoxia.
Published in
Functional segregation of HIF-1α and AhR controls NK cell responsiveness under hypoxia
Giorgetta S, Cortopassi F, Chanis T et al. · iScience 2026 · PMID 42006290 · doi:10.1016/j.isci.2026.115492
This dataset
Open GSE292264 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 GSE292264_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 PRJNA1237781 and SRA study SRP571323. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42006290) ↗
Study design
6 conditions, mostly in triplicate
NK cells, Hif1a-flox Ahr-flox, 7 days hypoxia, ×3 NK cells, Hif1a and Ahr KO, 7 days hypoxia, ×3 NK cells, Ahr-flox, 7 days hypoxia, ×3 NK cells, Ahr KO, 7 days hypoxia, ×3 NK cells, Hif1a-flox, 7 days hypoxia, ×3 NK cells, Hif1a KO, 7 days hypoxia, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.