← BioTransfer GEO Dataset Finder
GEO series

Robust and highly efficient generation of functional chimeric antigen receptor engineered murine macrophages that alleviate cardiac fibrosis

GSE326400 Mus musculus Expression profiling by high throughput sequencing 11 samples 2026/04/04 GPL21493
Summary
To investigate the therapeutic potential of chimeric antigen receptor engineered macrophages (CAR-Ms), studies in immunocompetent mouse models are essential. However, due to the low editing efficiency and limited proliferative capacity of primary murine macrophages, efficient generation of functional CAR-Ms remains a technical challenge, hampering the advancement of this promising immunotherapeutic approach. Here, we established immortalized mouse monocytes using the DHFR-HOXB8 system, in which the presence of overexpressed HOXB8 protein is controlled by trimethoprim (TMP), allowing for conditional immortalization and subsequent macrophage differentiation. Transcriptomic and functional analyses confirmed that DHFR-HOXB8-derived cells retain bona fide monocyte and macrophage identity, closely resembling primary cells. Using this platform, we achieved CAR editing efficiencies exceeding 95% in monocytes/macrophages and showed that CAR expression conferred potent phagocytic and cytotoxic activity upon DHFR-HOXB8-derived macrophages against target cells. Adoptive transfer of FAP-targeted CAR-Ms in mouse models of myocardial infarction (MI) and transverse aortic constriction (TAC) attenuated cardiac fibrosis and improved cardiac function, demonstrating their in vivo activity and underscoring their therapeutic potential across diverse cardiac pathologies. This study thus provides a potent platform for generating genetically engineered macrophages suitable for preclinical murine studies.
Download
NCBI GEO page ↗ {# 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 RNA-seq datasets →
Similar datasets

Search all mouse 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.