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SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages
BACKGROUND: Macrophages play a central role in inflammation by phagocytosing invading pathogens, apoptotic cells and debris, as well as mediating repair of tissues damaged by trauma. In order to do this, these dynamic cells generate a variety of inflammatory mediators including eicosanoids such as p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438320/ https://www.ncbi.nlm.nih.gov/pubmed/36050729 http://dx.doi.org/10.1186/s12950-022-00309-8 |
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author | Brace, Nicole Megson, Ian L. Rossi, Adriano G. Doherty, Mary K. Whitfield, Phillip D. |
author_facet | Brace, Nicole Megson, Ian L. Rossi, Adriano G. Doherty, Mary K. Whitfield, Phillip D. |
author_sort | Brace, Nicole |
collection | PubMed |
description | BACKGROUND: Macrophages play a central role in inflammation by phagocytosing invading pathogens, apoptotic cells and debris, as well as mediating repair of tissues damaged by trauma. In order to do this, these dynamic cells generate a variety of inflammatory mediators including eicosanoids such as prostaglandins, leukotrienes and hydroxyeicosatraenoic acids (HETEs) that are formed through the cyclooxygenase, lipoxygenase and cytochrome P450 pathways. The ability to examine the effects of eicosanoid production at the protein level is therefore critical to understanding the mechanisms associated with macrophage activation. RESULTS: This study presents a stable isotope labelling with amino acids in cell culture (SILAC) -based proteomics strategy to quantify the changes in macrophage protein abundance following inflammatory stimulation with Kdo2-lipid A and ATP, with a focus on eicosanoid metabolism and regulation. Detailed gene ontology analysis, at the protein level, revealed several key pathways with a decrease in expression in response to macrophage activation, which included a promotion of macrophage polarisation and dynamic changes to energy requirements, transcription and translation. These findings suggest that, whilst there is evidence for the induction of a pro-inflammatory response in the form of prostaglandin secretion, there is also metabolic reprogramming along with a change in cell polarisation towards a reduced pro-inflammatory phenotype. CONCLUSIONS: Advanced quantitative proteomics in conjunction with functional pathway network analysis is a useful tool to investigate the molecular pathways involved in inflammation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12950-022-00309-8. |
format | Online Article Text |
id | pubmed-9438320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94383202022-09-03 SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages Brace, Nicole Megson, Ian L. Rossi, Adriano G. Doherty, Mary K. Whitfield, Phillip D. J Inflamm (Lond) Research BACKGROUND: Macrophages play a central role in inflammation by phagocytosing invading pathogens, apoptotic cells and debris, as well as mediating repair of tissues damaged by trauma. In order to do this, these dynamic cells generate a variety of inflammatory mediators including eicosanoids such as prostaglandins, leukotrienes and hydroxyeicosatraenoic acids (HETEs) that are formed through the cyclooxygenase, lipoxygenase and cytochrome P450 pathways. The ability to examine the effects of eicosanoid production at the protein level is therefore critical to understanding the mechanisms associated with macrophage activation. RESULTS: This study presents a stable isotope labelling with amino acids in cell culture (SILAC) -based proteomics strategy to quantify the changes in macrophage protein abundance following inflammatory stimulation with Kdo2-lipid A and ATP, with a focus on eicosanoid metabolism and regulation. Detailed gene ontology analysis, at the protein level, revealed several key pathways with a decrease in expression in response to macrophage activation, which included a promotion of macrophage polarisation and dynamic changes to energy requirements, transcription and translation. These findings suggest that, whilst there is evidence for the induction of a pro-inflammatory response in the form of prostaglandin secretion, there is also metabolic reprogramming along with a change in cell polarisation towards a reduced pro-inflammatory phenotype. CONCLUSIONS: Advanced quantitative proteomics in conjunction with functional pathway network analysis is a useful tool to investigate the molecular pathways involved in inflammation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12950-022-00309-8. BioMed Central 2022-09-01 /pmc/articles/PMC9438320/ /pubmed/36050729 http://dx.doi.org/10.1186/s12950-022-00309-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Brace, Nicole Megson, Ian L. Rossi, Adriano G. Doherty, Mary K. Whitfield, Phillip D. SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
title | SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
title_full | SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
title_fullStr | SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
title_full_unstemmed | SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
title_short | SILAC-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
title_sort | silac-based quantitative proteomics to investigate the eicosanoid associated inflammatory response in activated macrophages |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438320/ https://www.ncbi.nlm.nih.gov/pubmed/36050729 http://dx.doi.org/10.1186/s12950-022-00309-8 |
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