← BioTransfer GEO Dataset Finder
GEO series

Enhancing tumor response to adoptive T cell therapy by targeting PHD2/3 in CD8 T cells

GSE271367 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/07/09 Platform GPL17021
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
Enhanced tumor response to adoptive T cell therapy with PHD2/3-deficient CD8 T cellsNature communications · 2024
Summary (written by the submitters)
In our study, we utilized cutting-edge CrisPR-Cas9 technology to evaluate the effects of deleting prolyl hydroxylase domain-containing enzymes (PHD) 2 and 3, which stabilizes HIF-1 signaling, in CD8 T cells that have already undergone differentiation and activation, mirroring the conditions encountered in clinical settings. Our study revealed a significant boost in T-cell activation and effector functions after PHD2/3 deletion, and conclusively established its dependence on HIF-1.
Read the full summary ↓
This improvement in CD8 T cell performance translated into a remarkable enhancement in the response to adoptive T cell therapy, across various tumor models, even including those reported to be extremely resistant to immunotherapeutic interventions. Furthermore, our data provide compelling evidence that the increased effector functions observed in PHD-deficient (KO) CD8 T cells are intricately linked to an increased glycolytic flux. These findings hold significant promise for advancing CD8 T -cell based therapies and overcoming the immune suppression barriers within challenging tumor microenvironments.
Published in
Enhanced tumor response to adoptive T cell therapy with PHD2/3-deficient CD8 T cells
Dvorakova T, Finisguerra V, Formenti M et al. · Nature communications 2024 · PMID 39242595 · doi:10.1038/s41467-024-51782-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 GSE271367_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 PRJNA1130998 and SRA study SRP521699. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
SCR NORM ×3 HIF1A KO NORM ×3 PHD2/3 KO NORM ×3 SCR HYP ×3 HIF1A KO HYP ×3 PHD2/3 KO HYP ×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.