← BioTransfer GEO Dataset Finder
GEO series

Immunosuppressive myeloid cells induce mesenchymal-like breast cancer stem cells by a membrane-bound TGF-β1-dependent mechanism [scRNA-seq]

GSE331487 Homo sapiens Expression profiling by high throughput sequencing 3 samples Submitted 2026/05/20 Platform GPL30173
Summary
Suppressive myeloid cells play a central role in cancer escape from anti-tumor immunity and exert multiple pro-tumoral activities, including the promotion of cancer cell survival, invasion and metastasis. Recent evidence suggests that certain subsets may also influence tumor heterogeneity and cellular plasticity. However, their role in cancer stem cell promotion and plasticity and the underlying molecular mechanisms have yet to be deciphered. Here we demonstrate that human immunosuppressive myeloid cells, generated in vitro or isolated from patients with breast cancer, induce cancer stem-like cells exhibiting mesenchymal features. This cancer-stemness-inducing function was restricted to CD52-expressing myeloid subset. Single cell transcriptomic- and surface proteome-based interactome analyses identify membrane-bound TGF-β1 as a potential mediator of this effect. Functional inhibition of the TGF-β1 pathway block stem-like feature induction by suppressive myeloid cells. These results provide insights into the cancer stemness-promoting capacity of suppressive myeloid cells and its associated molecular mechanisms in breast cancer.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE331487_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 3 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1468270 and SRA study SRP702171. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 3 more — browse all 3 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.