Machine-learning Directed Conversion of Glioblastoma to Dendritic Cell-like Antigen Presenting Cells as Cancer Immunotherapy
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ABSTRACT: Here, we report the development and application of a machine-learning precision method to identify cell fate determinants (CFD) that specifically reprogram GBM into induced antigen-presenting cells with DC-like functions (iDC-APC). In murine GBM models, iDC-APCs acquired DC-like morphology, regulatory gene expression profile and functions, including phagocytosis, direct presentation of endogenous antigens, and, especially, vigorous cross presentation of exogenous antigens comparable to natural DCs to prime naïve CD8+ CTLs, a hallmark DC function critical for anti-tumor immunity.
ORGANISM(S): Mus musculus
PROVIDER: GSE270855 | GEO | 2024/10/23
REPOSITORIES: GEO
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