Brendan T. Innes

This study uses single-cell transcriptomics to show that hypoxia in organoid models influences transcriptional subtypes in pancreatic cancer.

This paper introduces a method to align single-cell RNA data across species and tissues using adversarial learning, revealing common cell types like macrophages and fibroblasts.

The paper examines whether ligand-receptor interactions have consistent transcriptional signatures across cell types and finds they are highly context-dependent.

This study uses single-cell transcriptomics to analyze aged mouse brains, identifying cell-type-specific aging signatures and highlighting molecular processes like ribosomal biogenesis.