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Ptp1b inhibition improves the macrophage anti-tumor immune response and the efficacy of chemo- and radiotherapy.

GSE283503 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/01/02 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 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.
Paper
PTP Inhibition Improves the Macrophage Antitumor Immune Response and the Efficacy of Chemo- and RadiotherapyCancer immunology research · 2025
Summary (written by the submitters)
Traditional anti-cancer therapies induce tumor cell death and subsequent release of Damage Associated Molecular Patterns (DAMPs) that activate the innate inflammatory response. Paradoxically, after treatment macrophages often adopt a pro-wound healing, rather than pro-inflammatory, phenotype and contribute to cancer progression. We found that in areas proximal to DAMP release, tumor cells upregulate the expression of Pros1.
Read the full summary ↓
Tumor-secreted Pros1 binds to the macrophage Mer receptor, effectively limiting responsiveness to DAMPs by preventing Toll Like Receptor (TLR) signal transduction. Pharmacologically inhibiting PTP1b signaling downstream of Mer rescues the pro-inflammatory response even in the presence of Pros1. Combining PTP inhibition with traditional therapeutics, like chemo- or radiotherapy, rescues the innate immune response to DAMPs, increases immune infiltration, and causes 40-90% reductions in tumor growth in multiple treatment refractory preclinical models. Our findings suggest a novel use for PTP1b inhibitors as a tumor agnostic means of improving the efficacy of some of the most widely used anti-cancer therapeutic agents.
Published in
PTP Inhibition Improves the Macrophage Antitumor Immune Response and the Efficacy of Chemo- and Radiotherapy
Prieto-Dominguez N, Goel P, Ojo OA et al. · Cancer immunology research 2025 · PMID 39937118 · doi:10.1158/2326-6066.CIR-24-0335
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 GSE283503_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 PRJNA1194122 and SRA study SRP549390. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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