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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Format: | Article |
Language: | English |
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Elsevier
2021-09-01
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Series: | STAR Protocols |
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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). |
first_indexed | 2024-12-19T23:15:12Z |
format | Article |
id | doaj.art-97d0242048254edf93fc0d80b91269b8 |
institution | Directory Open Access Journal |
issn | 2666-1667 |
language | English |
last_indexed | 2024-12-19T23:15:12Z |
publishDate | 2021-09-01 |
publisher | Elsevier |
record_format | Article |
series | STAR Protocols |
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 |
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