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OR7A10 GPCR engineering boosts CAR-NK therapy against solid tumors

GSE310267 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/12/17 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 12 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
OR7A10 GPCR engineering boosts CAR-NK therapy against solid tumoursNature · 2026
Summary (written by the submitters)
Chimeric antigen receptor (CAR)-natural killer (NK) cell therapies hold promise for solid tumors but remain limited by poor tumor infiltration, persistence, and resistance within the tumor microenvironment (TME). To identify gain-of-function (GOF) targets that enhance CAR-NK efficacy, we performed an unbiased in vivo Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) activation (CRISPRa) screen, followed by a barcoded targeted in vivo open reading frame (ORF) screen in primary human CAR-NK cells.
Read the full summary ↓
We identified, and robustly validated OR7A10, a G protein-coupled receptor (GPCR), as the top candidate. Engineering CAR-NKs with OR7A10 cDNA, a CRISPR-independent method with simple manufacturing strategy, enhanced proliferation, activation, degranulation, cytokine production, death ligand expression, chemokine receptor expression, cytotoxicity, persistence, metabolic fitness, and TME resistance, while reducing exhaustion in primary human NK cells derived from multiple peripheral blood and cord blood donors. OR7A10-GOF CAR-NKs displayed robust in vivo efficacy across multiple solid tumor models, achieving a 100% complete response in an orthotopic breast cancer model with long term tumor control and survival benefit. These findings establish OR7A10-engineered CAR-NKs as a highly potent and scalable off-the-shelf therapeutic for solid tumors.
Published in
OR7A10 GPCR engineering boosts CAR-NK therapy against solid tumours
Yang L, Renauer PA, Tang K et al. · Nature 2026 · PMID 41741641 · doi:10.1038/s41586-026-10149-8
This dataset
Open GSE310267 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 GSE310267_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 PRJNA1365650 and SRA study SRP645967. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41741641) ↗
Study design
12 conditions, mostly in triplicate
HER2CAR_OR7A10_0hr ×3 HER2CAR_OR7A10_24hr ×3 HER2CAR_OR7A10Stop_0hr ×3 HER2CAR_OR7A10Stop_24hr ×3 OR7A10_0hr ×3 OR7A10_24hr ×3 OR7A10Stop_0hr ×3 OR7A10Stop_24hr ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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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