A data-driven computational model enables integrative and mechanistic characterization of dynamic macrophage polarization.

ABSTRACT: Macrophages are highly plastic immune cells that dynamically integrate microenvironmental signals to shape their own functional phenotypes, a process known as polarization. Here we develop a large-scale mechanistic computational model that for the first time enables a systems-level characterization, from quantitative, temporal, dose-dependent, and single-cell perspectives, of macrophage polarization driven by a complex multi-pathway signaling network. The model was extensively calibrated and validated against literature and focused on in-house experimental data. Using the model, we generated dynamic phenotype maps in response to numerous combinations of polarizing signals; we also probed into an in silico population of model-based macrophages to examine the impact of polarization co

SUBMITTER: Zhao C 

PROVIDER: S-EPMC7895754 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature