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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 continuum at the single-cell level. Additionally, we analyzed the model under an in vitro condition of peripheral arterial disease to evaluate strategies that can potentially induce therapeutic macrophage repolarization. Our model is a key step toward the future development of a network-centric, comprehensive "virtual macrophage" simulation platform.

SUBMITTER: Zhao C 

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

REPOSITORIES: biostudies-literature

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

Zhao Chen C   Medeiros Thalyta X TX   Sové Richard J RJ   Annex Brian H BH   Popel Aleksander S AS  

iScience 20210129 2


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 val  ...[more]

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