The authors developed a system called BEHAV3D to study the dynamic interactions of engineered T cells cultured with patient-derived solid-tumor organoids by imaging and (single-cell) transcriptomics. They identified a ‘super engager’ behavioral cluster of T cells with potent serial killing capacity. Then, they uncovered a behavior-specific gene expression signature in cancer metabolome-sensing engineered T cells and, finally, showed that type I interferon can prime resistant tumors for T cell killing.
Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis
This paper describes how cells can be optically tagged in real-time based on specific functional cell dynamics, such as fast migration or morphological variation. Moreover, it documents how you can combine optical tagging with single-cell RNA sequencing to link the genotypes and phenotypes of heterogenous tumor populations.