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MODELING TISSUE-RESIDENT MACROPHAGE DEVELOPMENT FROM MOUSE PLURIPOTENT STEM CELLS

GSE329909 Mus musculus Expression profiling by high throughput sequencing 5 samples Submitted 2026/05/09 Platform GPL34328
Summary
Tissue-resident macrophages (TRMs) are innate immune cells that participate in tissue development, homeostasis, and immune surveillance. Extensive efforts have been made to recapitulate TRM development from pluripotent stem cells (PSCs) in vitro to study molecular and cellular mechanisms of TRM development and to create cellular models of disease. However, available PSC models of mouse TRM development exhibit low overall efficiencies of TRM generation, generate heterogeneous off-target populations, and rely upon undefined media components, thus limiting their reproducibility, scalability, and widespread application as an experimental platform for TRM biology. To address these important limitations, we developed an efficient and reproducible protocol to faithfully recapitulate the stepwise differentiation of mouse PSCs (epiblast stem cells) into unspecialized, proliferative TRMs through the pro-definitive hematopoietic program under defined conditions. These immature TRMs can stably integrate into developing mouse neural organoids in vitro and acquire features of microglia, the TRMs of the brain. In addition, immature TRMs can stably engraft into the lung niche in vivo and adopt alveolar macrophage characteristics. This new platform for modeling mouse TRM development will enable paired in vitro and in vivo studies that leverage the full suite of mouse genetic tools, and thus should be a powerful experimental model system for studying TRM function and dysfunction in development and disease.
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Direct links to NCBI, no account and no request form: the whole study as GSE329909_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1462194 and SRA study SRP697594. Searching any of these in the dataset finder brings you back here.

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