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The myeloid SRC family kinase HCK regulates breast cancer growth by activating tumor associated macrophage-led invasion and inhibiting cytotoxic T cell activity

GSE272190 Mus musculus (mouse) Single-cell RNA-seq 20 samples Submitted 2026/03/02 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 20 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
20 samples: 8 conditions, mostly in triplicateGroups 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
The myeloid SRC family kinase HCK regulates breast cancer growth by activating tumor-associated macrophage-led invasion and inhibiting cytotoxic T cell activityFrontiers in immunology · 2026
Summary (written by the submitters)
The normal developmental and homeostatic roles of tissue resident macrophages are subverted in tumor-associated macrophages to promote tumor progression. Pro-tumoral macrophage activities include immune suppression and promotion of invasion and metastasis. We used the Py8119 mouse mammary tumor model to investigate the role of Hck activity in tumor growth through therapeutic inhibition and genetic modification.
Read the full summary ↓
Single cell RNA sequencing and immunohistochemistry approaches were used to investigate changes to the immune compartment. Loss of HCK activity reduced the growth of Py8119 mammary tumors by 70-80% while excessive HCK activity increased growth four-fold. Consistent with a role for HCK in macrophage invasiveness, plasma membrane-associated Src family kinase activity at the tumor margins was lost in the absence of HCK. Regarding immune evasion, HCK-deficient tumors contained increased CD8+ T cell numbers and, while CD8+ T cell depletion reduced survival in all mouse cohorts, CD8+ T cell-depleted HCK-deficient mice survived much longer than CD8+ T cell-replete control mice. Characterisation of the tumour microenvironment by single cell sequencing showed 5 major subtypes of TAMs (immunoregulatory (Folr2high ), inflammatory (MHC-IIhigh ), interferon-primed, angiogenic and tissue resident), which together made up 40% of cells in the tumour. While Hck activity did not affect the recruitment of TAMs or their subtype composition, pathway analysis showed that its loss decreased TAM motility and increased their interferon signalling and reduced EMT pathways in the Py8119 tumor cells. This study provides evidence that HCK activity in TAMs enhances tumour growth via promotion of invasive behaviour as well as suppression of anti-tumor immunity. These findings highlight HCK as a promising therapeutic target to limit tumor progression.
Published in
The myeloid SRC family kinase HCK regulates breast cancer growth by activating tumor-associated macrophage-led invasion and inhibiting cytotoxic T cell activity
Murrey MW, Poh AR, Steer JH et al. · Frontiers in immunology 2026 · PMID 41789109 · doi:10.3389/fimmu.2026.1709102
This dataset
Open GSE272190 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 GSE272190_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: 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 PRJNA1135484 and SRA study SRP519731. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41789109) ↗
Study design
8 conditions, mostly in triplicate
scRNAseq, Py8119 tumor, Vehicle treated, ×3 scRNAseq, Py8119 tumor, Rk20449 treated, ×3 scRNAseq, Py8119 tumor, KO, ×3 scRNAseq, Py8119 tumor, WT (KO), ×3 scRNAseq, Py8119 tumor, Day 10, ×2 scRNAseq, Py8119 tumor, Day 14, ×2 scRNAseq, Py8119 tumor, CA, ×2 scRNAseq, Py8119 tumor, WT (CA) ×2

Supports a between-group comparison across 20 samples.

How we read this: 8 replicated groups read from 20 sample titles; they account for 20 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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