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Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators
Macrophages respond to the TLR4 agonist LPS with a sequential transcriptional cascade controlled by a complex regulatory network of signaling pathways and transcription factors. At least two distinct pathways are currently known to be engaged by TLR4 and are distinguished by their dependence on the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Leukocyte Biology
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378362/ https://www.ncbi.nlm.nih.gov/pubmed/24721704 http://dx.doi.org/10.1189/jlb.6HI0313-169R |
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author | Raza, Sobia Barnett, Mark W. Barnett-Itzhaki, Zohar Amit, Ido Hume, David A. Freeman, Tom C. |
author_facet | Raza, Sobia Barnett, Mark W. Barnett-Itzhaki, Zohar Amit, Ido Hume, David A. Freeman, Tom C. |
author_sort | Raza, Sobia |
collection | PubMed |
description | Macrophages respond to the TLR4 agonist LPS with a sequential transcriptional cascade controlled by a complex regulatory network of signaling pathways and transcription factors. At least two distinct pathways are currently known to be engaged by TLR4 and are distinguished by their dependence on the adaptor molecule MyD88. We have used gene expression microarrays to define the effects of each of three variables—LPS dose, LPS versus IFN-β and -γ, and genetic background—on the transcriptional response of mouse BMDMs. Analysis of correlation networks generated from the data has identified subnetworks or modules within the macrophage transcriptional network that are activated selectively by these variables. We have identified mouse strain-specific signatures, including a module enriched for SLE susceptibility candidates. In the modules of genes unique to different treatments, we found a module of genes induced by type-I IFN but not by LPS treatment, suggesting another layer of complexity in the LPS-TLR4 signaling feedback control. We also observe that the activation of the complement system, in common with the known activation of MHC class 2 genes, is reliant on IFN-γ signaling. Taken together, these data further highlight the exquisite nature of the regulatory systems that control macrophage activation, their likely relevance to disease resistance/susceptibility, and the appropriate response of these cells to proinflammatory stimuli. |
format | Online Article Text |
id | pubmed-4378362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Society for Leukocyte Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-43783622015-03-31 Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators Raza, Sobia Barnett, Mark W. Barnett-Itzhaki, Zohar Amit, Ido Hume, David A. Freeman, Tom C. J Leukoc Biol Spotlight on Leading Edge Research Macrophages respond to the TLR4 agonist LPS with a sequential transcriptional cascade controlled by a complex regulatory network of signaling pathways and transcription factors. At least two distinct pathways are currently known to be engaged by TLR4 and are distinguished by their dependence on the adaptor molecule MyD88. We have used gene expression microarrays to define the effects of each of three variables—LPS dose, LPS versus IFN-β and -γ, and genetic background—on the transcriptional response of mouse BMDMs. Analysis of correlation networks generated from the data has identified subnetworks or modules within the macrophage transcriptional network that are activated selectively by these variables. We have identified mouse strain-specific signatures, including a module enriched for SLE susceptibility candidates. In the modules of genes unique to different treatments, we found a module of genes induced by type-I IFN but not by LPS treatment, suggesting another layer of complexity in the LPS-TLR4 signaling feedback control. We also observe that the activation of the complement system, in common with the known activation of MHC class 2 genes, is reliant on IFN-γ signaling. Taken together, these data further highlight the exquisite nature of the regulatory systems that control macrophage activation, their likely relevance to disease resistance/susceptibility, and the appropriate response of these cells to proinflammatory stimuli. Society for Leukocyte Biology 2014-08 /pmc/articles/PMC4378362/ /pubmed/24721704 http://dx.doi.org/10.1189/jlb.6HI0313-169R Text en © The Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) (http://creativecommons.org/licenses/by-nc/4.0/) which permits noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Spotlight on Leading Edge Research Raza, Sobia Barnett, Mark W. Barnett-Itzhaki, Zohar Amit, Ido Hume, David A. Freeman, Tom C. Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
title | Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
title_full | Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
title_fullStr | Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
title_full_unstemmed | Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
title_short | Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
title_sort | analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators |
topic | Spotlight on Leading Edge Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378362/ https://www.ncbi.nlm.nih.gov/pubmed/24721704 http://dx.doi.org/10.1189/jlb.6HI0313-169R |
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