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synNotch CAR-Macrophages promote persistent antitumour activity through enhanced adaptive immunity [scRNA-Seq human]

GSE295518 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2026/03/01 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
2 samples
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.
Summary (written by the submitters)
Chimeric antigen receptor-macrophage (CAR-M) possess the ability to migrate into the immunosuppressive tumour microenvironment (TME) of solid tumours and mediate phagocytosis. However, their efficacy is limited by challenges in precisely controlling tumour-specific immune activation and sustaining adaptive antitumour responses due to systemic off-target risks and inefficient antigen presentation.
Read the full summary ↓
To overcome these limitations, we engineered an antigen prime-and-kill circuit, wherein tumour-specific synthetic Notch (syN) receptors locally induce the production of a kill antigen. This circuit enhances the precision of CAR-M while establishing self-sustaining antigen-presentation networks, amplifying tumour-specific T-cell adaptive immunity without eliciting systemic cytokine toxicity. To enable in situ CAR-M generation, we developed a macrophage-derived exosome-based delivery system to introduce syN-CAR genes into tumour-associated macrophages (TAMs), thereby generating syN-CAR-M within the TME. These engineered CAR-M actively sought and engulfed cancer cells while promoting a robust adaptive antitumour immune response in the TME in a murine tumour model. Our findings highlight that in situ induction of syN-CAR-M triggers a potent, tumour-specific adaptive immune response, offering a novel strategy for CAR-M-based immunotherapy and advancing precision cancer treatment by enhancing efficacy while minimizing systemic toxicity.
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 GSE295518_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1255094 and SRA study SRP580987. Searching any of these in the dataset finder brings you back here.

Samples in this study

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