Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Chen, Popel, Aleksander S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365221/
https://www.ncbi.nlm.nih.gov/pubmed/34430914
http://dx.doi.org/10.1016/j.xpro.2021.100739
_version_ 1783738664216428544
author Zhao, Chen
Popel, Aleksander S.
author_facet Zhao, Chen
Popel, Aleksander S.
author_sort Zhao, Chen
collection PubMed
description 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).
format Online
Article
Text
id pubmed-8365221
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-83652212021-08-23 Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model Zhao, Chen Popel, Aleksander S. STAR Protoc Protocol 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). Elsevier 2021-08-12 /pmc/articles/PMC8365221/ /pubmed/34430914 http://dx.doi.org/10.1016/j.xpro.2021.100739 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Zhao, Chen
Popel, Aleksander S.
Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model
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 Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365221/
https://www.ncbi.nlm.nih.gov/pubmed/34430914
http://dx.doi.org/10.1016/j.xpro.2021.100739
work_keys_str_mv AT zhaochen protocolforsimulatingmacrophagesignaltransductionandphenotypepolarizationusingalargescalemechanisticcomputationalmodel
AT popelaleksanders protocolforsimulatingmacrophagesignaltransductionandphenotypepolarizationusingalargescalemechanisticcomputationalmodel