A mechanistic integrative computational model of macrophage polarization: Implications in human pathophysiology

Macrophages respond to signals in the microenvironment by changing their functional phenotypes, a process known as polarization. Depending on the context, they acquire different patterns of transcriptional activation, cytokine expression and cellular metabolism which collectively constitute a contin...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PLoS computational biology 2019-11, Vol.15 (11), p.e1007468-e1007468
Hauptverfasser:	Zhao, Chen, Mirando, Adam C, Sové, Richard J, Medeiros, Thalyta X, Annex, Brian H, Popel, Aleksander S
Format:	Artikel
Sprache:	eng
Schlagworte:	Angiogenesis Antagonism Biology and Life Sciences Biomedical engineering Cancer Cardiovascular disease Cell activation Cell Polarity - physiology Cellular signal transduction Cellular stress response Computational Biology - methods Computer applications Computer simulation Cytokines Cytokines - metabolism Engineering Gene expression Health aspects Humans Hypoxia Inflammation Interleukin 4 Intracellular signalling Kinases Ligands Macrophage Activation - physiology Macrophages Macrophages - metabolism Macrophages - physiology Medicine Medicine and Health Sciences Metabolism Pathology Pathophysiology Peripheral vascular diseases Phenotype Phenotypes Physiological aspects Physiology Polarization Proteins Research and Analysis Methods Sensitivity analysis Signal processing Signal transduction Signal Transduction - physiology Transcription activation Transcription factors Tumor necrosis factor-TNF γ-Interferon
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!