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Metabolic programs drive function of therapeutic natural killer (NK) cells in low oxygen tumor microenvironments

GSE269629 Homo sapiens (human) RNA-seq (gene expression) 63 samples Submitted 2024/11/06 Platform GPL20795
At a glance

RNA-seq (gene expression) · human · 63 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
63 samples: 61 distinct titles, 1 of them repeatedGroups 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
Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environmentsScience advances · 2024
Summary (written by the submitters)
Limited oxygen in solid tumors poses a challenge to successful immunotherapy with NK cells. NK cells have impaired cytotoxicity when cultured in hypoxia (1% oxygen), but not physiologic or atmospheric oxygen (>5%). We sought to analyze the impact of oxygen concentrations on human NK cell biology to determine what factors were driving loss of cytotoxicity and where there were opportunities to overcome hypoxia-induced dysfunction in NK cells.
Published in
Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments
Kennedy PR, Arvindam US, Phung SK et al. · Science advances 2024 · PMID 39475618 · doi:10.1126/sciadv.adn1849
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 GSE269629_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 PRJNA1122791 and SRA study SRP513289. Searching any of these in the dataset finder brings you back here.

Study design
61 distinct titles, 1 of them repeated
Group M, O2-05, 0-6psi, 7 day, D2, S ×3

How we read this: Read from 63 sample titles: 61 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

+ 23 more — browse all 63 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.