Cargando…
A data-driven computational model enables integrative and mechanistic characterization of dynamic macrophage polarization
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,...
Autores principales: | Zhao, Chen, Medeiros, Thalyta X., Sové, Richard J., Annex, Brian H., Popel, Aleksander S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895754/ https://www.ncbi.nlm.nih.gov/pubmed/33659877 http://dx.doi.org/10.1016/j.isci.2021.102112 |
Ejemplares similares
-
A mechanistic integrative computational model of macrophage polarization: Implications in human pathophysiology
por: Zhao, Chen, et al.
Publicado: (2019) -
Endothelial cells signaling and patterning under hypoxia: a mechanistic integrative computational model including the Notch-Dll4 pathway
por: Oliveira, Rebeca Hannah M, et al.
Publicado: (2023) -
Dynamic Multiscale Regulation of Perfusion Recovery in Experimental Peripheral Arterial Disease: A Mechanistic Computational Model
por: Zhao, Chen, et al.
Publicado: (2022) -
Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
por: Zhao, Chen, et al.
Publicado: (2021) -
Computational drug repositioning for peripheral arterial disease: prediction of anti-inflammatory and pro-angiogenic therapeutics
por: Chu, Liang-Hui, et al.
Publicado: (2015)