Tool

Behavior-Guided Transcriptomics (BGT) is an extension of the BEHAV3D platform that links T cell live imaging with single-cell transcriptomics to identify gene programs associated with dynamic T cell behaviors. BGT leverages BEHAV3D-processed imaging data to guide experimental design, enabling separation of T cells based on their engagement with patient-derived organoids (PDOs), followed by fluorescence-activated cell sorting (FACS) and single-cell RNA sequencing (scRNA-seq). In addition, BGT employs in silico simulations to computationally infer T cell behaviors from scRNA-seq profiles, uncovering biomarkers that distinguish highly functional from ineffective T cells. This integrated approach provides a powerful framework for understanding T cell functional heterogeneity and offers actionable insights for improving immunotherapy efficacy.