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Coordinate tumor-antigen uptake and dendritic cell activation by chimeric antigen receptors. [RNA-seq]

GSE293372 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/12/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
12 samples: 3 × Ctrl vs 3 × Ctrl_EV vs 3 × Rec vs 3 × Rec_EVGroups 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
Coordinate tumor-antigen uptake and dendritic cell activation by chimeric antigen receptorsScience translational medicine · 2025
Summary (written by the submitters)
Effective anti-tumor immunity requires dendritic cells (DCs) to internalize, process and present tumor antigens to T cells. Adoptive transfer of DCs loaded ex vivo with tumor antigens has been shown to stimulate anti-tumor immunity in patients with cancer, but clinical responses have been mixed. To address limitations of traditional DC-based therapies, we constructed and functionally screened a panel of chimeric antigen receptors (CARs) optimized for expression and activity in DCs.
Read the full summary ↓
Through this screening, we identified key functional components that informed the design of an inducible platform centered on an instructive chimeric antigen receptor (iCAR). This platform enables the DCs to (i) recognize a surface molecule present on cancer cells or their extracellular vesicles (EVs), such as GD2 and HER2, thereby promoting the acquisition of tumor-derived material that contains putative tumor antigens; (ii) undergo immunostimulatory activation to prime antigen-specific T cells via both cross-dressing and cross-presentation; and (iii) transactivate the expression of a therapeutic gene (IL-12) in response to antigen uptake. The iCAR converted melanoma-derived EVs from immune-suppressive to stimulatory cues for DCs. Moreover, systemic administration of iCAR-DCs enhanced antigen-specific T cells, expanded low-frequency T cell clonotypes, and delayed tumor growth in immunotherapy-resistant melanoma models without the need for ex vivo antigen loading or cell maturation. iCAR-DCs provide a platform for antigen-agnostic cancer immunotherapy that integrates antigen uptake with programmable DC activation.
Published in
Coordinate tumor-antigen uptake and dendritic cell activation by chimeric antigen receptors
Mohammadzadeh Y, Gligorovski V, Egorova O et al. · Science translational medicine 2025 · PMID 41406244 · doi:10.1126/scitranslmed.adq4060
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 GSE293372_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 PRJNA1105880 and SRA study SRP504587. Searching any of these in the dataset finder brings you back here.

Study design
3 × Ctrl vs 3 × Ctrl_EV vs 3 × Rec vs 3 × Rec_EV

Supports a between-group comparison across 12 samples.

How we read this: 4 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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