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Transcriptional and chromatin accessibility landscapes of hematopoiesis in a mouse model of breast cancer

GSE274040 Mus musculus Other 16 samples 2025/02/05 GPL24247
Summary
Hematopoietic abnormalities, including myeloid-skewing, anemia, and extramedullary hematopoiesis, are often observed in cancer patients, with evidence suggesting that they promote the development of myeloid-derived suppressor cells. However, our understanding of the mechanisms underlying these hematopoietic phenotypes remains incomplete. Here, using the MMTV-PyMT mouse model of breast cancer, we characterize the transcriptional and chromatin accessibility landscapes of bone marrow and spleen hematopoietic progenitors using single-cell ATAC+RNA sequencing. We show that for the uncommitted hematopoietic stem and progenitor cells (HSPCs) in the BM, tumor growth induces a moderate upregulation of the myeloid-bias transcriptional signature and no significant chromatin accessibility changes. Compared to BM HSPCs, spleen HSPCs do not show a further upregulation of the myeloid-bias signature, and instead show the signature of Notch signaling, which has been associated with erythroid commitment. In addition, we also identify a cluster of spleen HSPCs in tumor-bearing animals with a transcriptional signature of mobilization, while our paired chromatin data suggest that AP-1 factors play a key role in HSPC mobilization. Furthermore, in contrast to the subtle tumor-induced changes in BM HSPCs, prominent transcriptional and chromatin changes are observed in dendritic cell (DC) progenitors, consistent with known cancer-associated DC defects. Our chromatin data also confirms, in an unbiased manner, that Stat3 and CEBP are both key contributors to DC defects. Overall, we provide a comprehensive dataset for understanding the hematopoietic consequences of cancer.
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NCBI GEO page ↗ Paper (PMID 40152115) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse datasets →
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