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Targeted release of a bispecific fusion protein SIRPα/Siglec-10 by oncolytic adenovirus reinvigorates tumor associated macrophages to improve therapeutic outcomes in solid tumors

GSE275905 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/04/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 4 × TAM-AdV-Ctrl vs 4 × TAM-AdV-mSS vs 3 × TAM-PBSGroups 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
Targeted release of a bispecific fusion protein SIRPα/Siglec-10 by oncolytic adenovirus reinvigorates tumor-associated macrophages to improve therapeutic outcomes in solid tumorsJournal for immunotherapy of cancer · 2025
Summary (written by the submitters)
CD47/SIRPα and CD24/Siglec-10 signaling pathways have been found to suppress macrophage phagocytosis of malignant cells. We constructed a recombinant oncolytic adenovirus expressing a fusion protein composed of the extracellular domains of murine SIRPα and Siglec-10 (SIRPα/Siglec-10), termed AdV-mSS. Intratumoral administration of AdV-SS markedly enhanced antitumor efficacy than AdV-Ctrl in multiple solid tumor models.
Read the full summary ↓
To reveal differences in biological processes between them. subcutaneous 14-day H22-CAR -bearing BALB/c mice were intratumorally injected with PBS, 5 × 10^8 IFU AdV-Ctrl, or 5 × 10^8 IFU AdV-mSS twice. Forty-eight hours post-treatment, we harvested tumor tissue and sorted these TAMs by anti-mouse F4/80 magnetic beads. Samples were subjected to transcriptome sequencing.
Published in
Targeted release of a bispecific fusion protein SIRPα/Siglec-10 by oncolytic adenovirus reinvigorates tumor-associated macrophages to improve therapeutic outcomes in solid tumors
Zhang Y, He B, Zou P et al. · Journal for immunotherapy of cancer 2025 · PMID 40169285 · doi:10.1136/jitc-2024-010767
This dataset
Open GSE275905 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 GSE275905_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 PRJNA1153574 and SRA study SRP529182. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40169285) ↗
Study design
4 × TAM-AdV-Ctrl vs 4 × TAM-AdV-mSS vs 3 × TAM-PBS

Supports a between-group comparison across 11 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 11 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

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