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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...

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Autores principales: Raza, Sobia, Barnett, Mark W., Barnett-Itzhaki, Zohar, Amit, Ido, Hume, David A., Freeman, Tom C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Leukocyte Biology 2014
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.
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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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