Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model

Summary: The ability to measure and analyze the complex dynamic multi-marker features of macrophages is critical for the understanding of their diverse phenotypes and functions in health and disease. To that end, we have recently developed a multi-pathway computational model that for the first time...

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Main Authors: Chen Zhao, Aleksander S. Popel
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166721004469
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author Chen Zhao
Aleksander S. Popel
author_facet Chen Zhao
Aleksander S. Popel
author_sort Chen Zhao
collection DOAJ
description Summary: The ability to measure and analyze the complex dynamic multi-marker features of macrophages is critical for the understanding of their diverse phenotypes and functions in health and disease. To that end, we have recently developed a multi-pathway computational model that for the first time enables a systems-level characterization of macrophage signaling and activation from quantitative, temporal, dose-dependent, and single-cell aspects. This protocol includes instructions to utilize this model to computationally explore different biological scenarios with high resolution and efficiency.For complete details on the use and execution of this protocol, please refer to Zhao et al. (2021).
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spelling doaj.art-97d0242048254edf93fc0d80b91269b82022-12-21T20:02:08ZengElsevierSTAR Protocols2666-16672021-09-0123100739Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational modelChen Zhao0Aleksander S. Popel1School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 210000, China; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Corresponding authorDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USASummary: The ability to measure and analyze the complex dynamic multi-marker features of macrophages is critical for the understanding of their diverse phenotypes and functions in health and disease. To that end, we have recently developed a multi-pathway computational model that for the first time enables a systems-level characterization of macrophage signaling and activation from quantitative, temporal, dose-dependent, and single-cell aspects. This protocol includes instructions to utilize this model to computationally explore different biological scenarios with high resolution and efficiency.For complete details on the use and execution of this protocol, please refer to Zhao et al. (2021).http://www.sciencedirect.com/science/article/pii/S2666166721004469ImmunologySignal TransductionSystems biologyComputer sciences
spellingShingle Chen Zhao
Aleksander S. Popel
Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
STAR Protocols
Immunology
Signal Transduction
Systems biology
Computer sciences
title Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
title_full Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
title_fullStr Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
title_full_unstemmed Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
title_short Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
title_sort protocol for simulating macrophage signal transduction and phenotype polarization using a large scale mechanistic computational model
topic Immunology
Signal Transduction
Systems biology
Computer sciences
url http://www.sciencedirect.com/science/article/pii/S2666166721004469
work_keys_str_mv AT chenzhao protocolforsimulatingmacrophagesignaltransductionandphenotypepolarizationusingalargescalemechanisticcomputationalmodel
AT aleksanderspopel protocolforsimulatingmacrophagesignaltransductionandphenotypepolarizationusingalargescalemechanisticcomputationalmodel