Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions.

ABSTRACT: Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is essential to understanding immunity and tolerance, and for developing therapies for cancer and autoimmune diseases. Conventional techniques for selecting antigen-specific T cells are time-consuming and limited to pre-defined antigenic peptide sequences. Here, we demonstrate the ability to use deep learning to rapidly classify videos of antigen-specific CD8⁺ T cells. The trained model distinguishes distinct interaction dynamics (in motility and morphology) between cognate and non-cognate T cells and DCs over 20 to 80 min. The model classified high affinity antigen-specific CD8⁺ T cells from OT-I mice with an area under the curve (AUC) of 0.91, and generalized well to ot

SUBMITTER: Anandakumaran PN 

PROVIDER: S-EPMC8752671 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature