GEO series

Rejuvenating endogenous antitumor immunity via a chimeric receptor-engineered oncolytic virus targeting tumor-associated macrophages

GSE272424 Mus musculus (mouse) RNA-seq (gene expression) 6 samples Submitted 2026/08/07 Platform GPL30215

At a glance

RNA-seq (gene expression) · mouse · 6 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: 6 samples: 6 samples, each with a distinct title — no replicated groupsGroups 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.

Summary (written by the submitters)

Immunosuppressive tumor-associated macrophages (TAMs) create a barrier to effective antitumor immunity and promote therapeutic resistance. Reeducating TAMs to enhance their antitumor capabilities through phenotypic remodeling remains challenging. Here, we report a modular oncolytic herpesvirus platform, engineered with a PD-L1–specific chimeric receptor integrated into the viral envelope protein (CAR-oHSV).

Read the full summary ↓

This design endows the virus with dual tropism, enabling it to target both tumor cells and TAMs within the tumor microenvironment. In virus-resistant tumor models, CAR-oHSV preferentially targets PD-L1⁺ TAMs and triggers a STING-dependent reprogramming into a CXCL9⁺ phenotype, enhancing their tumor antigen cross-presentation capability and inducing an endogenous antitumor T cell response. Furthermore, this platform can synergize with adoptive T cell therapy and immune checkpoint blockade therapy to overcome immunotherapy resistance. Collectively, our findings define a precision-oncolytic platform that dismantles TAM-mediated immunosuppression while amplifying adaptive immunity, offering a promising translational avenue for cancer immunotherapy.

This dataset

Open GSE272424 in finder → Find more mouse 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 GSE272424_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 PRJNA1136852 and SRA study SRP520514. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

6 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 6 sample titles: 6 distinct titles with little repetition. 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

GSM8401835 Vehicle, replicate 1, scRNAseq
GSM8401836 Vehicle, replicate 2, scRNAseq
GSM8401837 d0-GFP, replicate 1, scRNAseq
GSM8401838 d0-GFP, replicate 2, scRNAseq
GSM8401839 dgD-aPDL1, replicate 1, scRNAseq
GSM8401840 dgD-aPDL1, replicate 2, scRNAseq

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Search all mouse RNA-seq datasets in GEO →

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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.