Bayesian metamodeling of early T-cell antigen receptor signaling accounts for its nanoscale activation patterns.

ABSTRACT: T cells respond swiftly, specifically, sensitively, and robustly to cognate antigens presented on the surface of antigen presenting cells. Existing microscopic models capture various aspects of early T-cell antigen receptor (TCR) signaling at the molecular level. However, none of these models account for the totality of the data, impeding our understanding of early T-cell activation. Here, we study early TCR signaling using Bayesian metamodeling, an approach for systematically integrating multiple partial models into a metamodel of a complex system. We inform the partial models using multiple published super-resolution microscopy datasets. Collectively, these datasets describe the spatiotemporal organization, activity, interactions, and dynamics of TCR, CD45 and Lck signaling molecules in

SUBMITTER: Neve-Oz Y 

PROVIDER: S-EPMC11543436 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature