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Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation

Macrophage activation is associated with profound transcriptional reprogramming. Although much progress has been made in the understanding of macrophage activation, polarization, and function, the transcriptional programs regulating these processes remain poorly characterized. We stimulated human ma...

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Autores principales: Xue, Jia, Schmidt, Susanne V., Sander, Jil, Draffehn, Astrid, Krebs, Wolfgang, Quester, Inga, De Nardo, Dominic, Gohel, Trupti D., Emde, Martina, Schmidleithner, Lisa, Ganesan, Hariharasudan, Nino-Castro, Andrea, Mallmann, Michael R., Labzin, Larisa, Theis, Heidi, Kraut, Michael, Beyer, Marc, Latz, Eicke, Freeman, Tom C., Ulas, Thomas, Schultze, Joachim L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991396/
https://www.ncbi.nlm.nih.gov/pubmed/24530056
http://dx.doi.org/10.1016/j.immuni.2014.01.006
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author Xue, Jia
Schmidt, Susanne V.
Sander, Jil
Draffehn, Astrid
Krebs, Wolfgang
Quester, Inga
De Nardo, Dominic
Gohel, Trupti D.
Emde, Martina
Schmidleithner, Lisa
Ganesan, Hariharasudan
Nino-Castro, Andrea
Mallmann, Michael R.
Labzin, Larisa
Theis, Heidi
Kraut, Michael
Beyer, Marc
Latz, Eicke
Freeman, Tom C.
Ulas, Thomas
Schultze, Joachim L.
author_facet Xue, Jia
Schmidt, Susanne V.
Sander, Jil
Draffehn, Astrid
Krebs, Wolfgang
Quester, Inga
De Nardo, Dominic
Gohel, Trupti D.
Emde, Martina
Schmidleithner, Lisa
Ganesan, Hariharasudan
Nino-Castro, Andrea
Mallmann, Michael R.
Labzin, Larisa
Theis, Heidi
Kraut, Michael
Beyer, Marc
Latz, Eicke
Freeman, Tom C.
Ulas, Thomas
Schultze, Joachim L.
author_sort Xue, Jia
collection PubMed
description Macrophage activation is associated with profound transcriptional reprogramming. Although much progress has been made in the understanding of macrophage activation, polarization, and function, the transcriptional programs regulating these processes remain poorly characterized. We stimulated human macrophages with diverse activation signals, acquiring a data set of 299 macrophage transcriptomes. Analysis of this data set revealed a spectrum of macrophage activation states extending the current M1 versus M2-polarization model. Network analyses identified central transcriptional regulators associated with all macrophage activation complemented by regulators related to stimulus-specific programs. Applying these transcriptional programs to human alveolar macrophages from smokers and patients with chronic obstructive pulmonary disease (COPD) revealed an unexpected loss of inflammatory signatures in COPD patients. Finally, by integrating murine data from the ImmGen project we propose a refined, activation-independent core signature for human and murine macrophages. This resource serves as a framework for future research into regulation of macrophage activation in health and disease.
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spelling pubmed-39913962014-04-23 Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation Xue, Jia Schmidt, Susanne V. Sander, Jil Draffehn, Astrid Krebs, Wolfgang Quester, Inga De Nardo, Dominic Gohel, Trupti D. Emde, Martina Schmidleithner, Lisa Ganesan, Hariharasudan Nino-Castro, Andrea Mallmann, Michael R. Labzin, Larisa Theis, Heidi Kraut, Michael Beyer, Marc Latz, Eicke Freeman, Tom C. Ulas, Thomas Schultze, Joachim L. Immunity Resource Macrophage activation is associated with profound transcriptional reprogramming. Although much progress has been made in the understanding of macrophage activation, polarization, and function, the transcriptional programs regulating these processes remain poorly characterized. We stimulated human macrophages with diverse activation signals, acquiring a data set of 299 macrophage transcriptomes. Analysis of this data set revealed a spectrum of macrophage activation states extending the current M1 versus M2-polarization model. Network analyses identified central transcriptional regulators associated with all macrophage activation complemented by regulators related to stimulus-specific programs. Applying these transcriptional programs to human alveolar macrophages from smokers and patients with chronic obstructive pulmonary disease (COPD) revealed an unexpected loss of inflammatory signatures in COPD patients. Finally, by integrating murine data from the ImmGen project we propose a refined, activation-independent core signature for human and murine macrophages. This resource serves as a framework for future research into regulation of macrophage activation in health and disease. Cell Press 2014-02-20 /pmc/articles/PMC3991396/ /pubmed/24530056 http://dx.doi.org/10.1016/j.immuni.2014.01.006 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Resource
Xue, Jia
Schmidt, Susanne V.
Sander, Jil
Draffehn, Astrid
Krebs, Wolfgang
Quester, Inga
De Nardo, Dominic
Gohel, Trupti D.
Emde, Martina
Schmidleithner, Lisa
Ganesan, Hariharasudan
Nino-Castro, Andrea
Mallmann, Michael R.
Labzin, Larisa
Theis, Heidi
Kraut, Michael
Beyer, Marc
Latz, Eicke
Freeman, Tom C.
Ulas, Thomas
Schultze, Joachim L.
Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
title Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
title_full Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
title_fullStr Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
title_full_unstemmed Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
title_short Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
title_sort transcriptome-based network analysis reveals a spectrum model of human macrophage activation
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991396/
https://www.ncbi.nlm.nih.gov/pubmed/24530056
http://dx.doi.org/10.1016/j.immuni.2014.01.006
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