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RNAseq of CONTROL engineered and SMAD4 engineered Purified NK cells after 7 day treatment in the presence/absence of TGFb

GSE248292 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/01/20 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 4 × D111 vs 4 × D132 vs 4 × D204Groups 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
Enhancing human NK cell antitumor function by knocking out SMAD4 to counteract TGFβ and activin A suppressionNature immunology · 2025
Summary (written by the submitters)
TGF-β is a suppressive factor curtailing the effectiveness of NK cell adoptive transfer for cancer treatment. Inspired by data of SMAD4 haploinsufficient NK cells, we explored the possibility of knocking out SMAD4 by CRISPR/Cas9 in human NK cells as a novel strategy for circumventing TGF-β suppression. Human SMAD4KO NK cells were resistant to TGF-β inhibition, retaining their anti-tumor function and their proliferation in response to IL-2/IL-15.
Read the full summary ↓
In addition, SMAD4KO NK cells exposed to TGF-β showed improved tumor-penetration, associated to changes in adhesion molecules and chemokine receptors. Indeed, the cytotoxic activity of SMAD4KO NK cells surpassed that of control NK cells treated with a TGF-β inhibitor, indirectly evidencing the advantage of maintaining SMAD4-independent TGF-β-signaling. Furthermore, SMAD4KO NK cells were also resistant to Activin A inhibition. Overall, disrupting TGF-β/activin A signaling by inactivating SMAD4 represents a promising strategy for simultaneously enhancing the homing and function of NK cell products for cancer immunotherapy.
Published in
Enhancing human NK cell antitumor function by knocking out SMAD4 to counteract TGFβ and activin A suppression
Rea A, Santana-Hernández S, Villanueva J et al. · Nature immunology 2025 · PMID 40119192 · doi:10.1038/s41590-025-02103-z
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 GSE248292_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 PRJNA1043173 and SRA study SRP473075. Searching any of these in the dataset finder brings you back here.

Study design
4 × D111 vs 4 × D132 vs 4 × D204

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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
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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.