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Biomedical subjects

Ernest Fraenkel

Publications and source records attributed to Ernest Fraenkel.

2 recordsLinked to original sources

Local delivery of interferon restores antigen presentation and sensitizes medulloblastoma to T cell killing.

Medulloblastomas are considered immunologically cold and refractory to immunotherapy. One factor contributing to their low immunogenicity is impaired antigen presentation, which allows tumor cells to evade cytotoxic T cells. Using a syngeneic mouse model of medulloblastoma, we demonstrate that despite low expression of MHC class I on tumor cells, depletion of CD8+ T cells accelerates tumor growth, whereas adoptive transfer of tumor-reactive CD8+ T cells prolongs survival. These antitumor effects rely on T cell-derived interferon gamma (IFNγ), which induces MHC class I on tumor cells and facilitates tumor cell killing by T cells. Importantly, delivering IFNγ directly into tumors via convection-enhanced delivery enhances CD8+ T cell-mediated killing of tumor cells and significantly prolongs survival in tumor-bearing mice. These studies highlight the importance of T cells in controlling brain tumors and the value of IFNγ as an adjuvant for T cell-based immunotherapy.

Animals

A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.

The phenotype of a cell and its underlying molecular state is strongly influenced by extracellular signals, including growth factors, hormones, and extracellular matrix proteins. While these signals are normally tightly controlled, their dysregulation leads to phenotypic and molecular states associated with diverse diseases. To develop a detailed understanding of the linkage between molecular and phenotypic changes, we generated a comprehensive dataset that catalogs the transcriptional, proteomic, epigenomic and phenotypic responses of MCF10A mammary epithelial cells after exposure to the ligands EGF, HGF, OSM, IFNG, TGFB and BMP2. Systematic assessment of the molecular and cellular phenotypes induced by these ligands comprise the LINCS Microenvironment (ME) perturbation dataset, which has been curated and made publicly available for community-wide analysis and development of novel computational methods ( synapse.org/LINCS_MCF10A ). In illustrative analyses, we demonstrate how this dataset can be used to discover functionally related molecular features linked to specific cellular phenotypes. Beyond these analyses, this dataset will serve as a resource for the broader scientific community to mine for biological insights, to compare signals carried across distinct molecular modalities, and to develop new computational methods for integrative data analysis.

Epidermal Growth Factor