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Reprogramming of macrophages employing gene regulatory and metabolic network models

Upon exposure to different stimuli, resting macrophages undergo classical or alternative polarization into distinct phenotypes that can cause fatal dysfunction in a large range of diseases, such as systemic infection leading to sepsis or the generation of an immunosuppressive tumor microenvironment....

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Autores principales: Hörhold, Franziska, Eisel, David, Oswald, Marcus, Kolte, Amol, Röll, Daniela, Osen, Wolfram, Eichmüller, Stefan B., König, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059956/
https://www.ncbi.nlm.nih.gov/pubmed/32097424
http://dx.doi.org/10.1371/journal.pcbi.1007657
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author Hörhold, Franziska
Eisel, David
Oswald, Marcus
Kolte, Amol
Röll, Daniela
Osen, Wolfram
Eichmüller, Stefan B.
König, Rainer
author_facet Hörhold, Franziska
Eisel, David
Oswald, Marcus
Kolte, Amol
Röll, Daniela
Osen, Wolfram
Eichmüller, Stefan B.
König, Rainer
author_sort Hörhold, Franziska
collection PubMed
description Upon exposure to different stimuli, resting macrophages undergo classical or alternative polarization into distinct phenotypes that can cause fatal dysfunction in a large range of diseases, such as systemic infection leading to sepsis or the generation of an immunosuppressive tumor microenvironment. Investigating gene regulatory and metabolic networks, we observed two metabolic switches during polarization. Most prominently, anaerobic glycolysis was utilized by M1-polarized macrophages, while the biosynthesis of inosine monophosphate was upregulated in M2-polarized macrophages. Moreover, we observed a switch in the urea cycle. Gene regulatory network models revealed E2F1, MYC, PPARγ and STAT6 to be the major players in the distinct signatures of these polarization events. Employing functional assays targeting these regulators, we observed the repolarization of M2-like cells into M1-like cells, as evidenced by their specific gene expression signatures and cytokine secretion profiles. The predicted regulators are essential to maintaining the M2-like phenotype and function and thus represent potential targets for the therapeutic reprogramming of immunosuppressive M2-like macrophages.
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spelling pubmed-70599562020-03-12 Reprogramming of macrophages employing gene regulatory and metabolic network models Hörhold, Franziska Eisel, David Oswald, Marcus Kolte, Amol Röll, Daniela Osen, Wolfram Eichmüller, Stefan B. König, Rainer PLoS Comput Biol Research Article Upon exposure to different stimuli, resting macrophages undergo classical or alternative polarization into distinct phenotypes that can cause fatal dysfunction in a large range of diseases, such as systemic infection leading to sepsis or the generation of an immunosuppressive tumor microenvironment. Investigating gene regulatory and metabolic networks, we observed two metabolic switches during polarization. Most prominently, anaerobic glycolysis was utilized by M1-polarized macrophages, while the biosynthesis of inosine monophosphate was upregulated in M2-polarized macrophages. Moreover, we observed a switch in the urea cycle. Gene regulatory network models revealed E2F1, MYC, PPARγ and STAT6 to be the major players in the distinct signatures of these polarization events. Employing functional assays targeting these regulators, we observed the repolarization of M2-like cells into M1-like cells, as evidenced by their specific gene expression signatures and cytokine secretion profiles. The predicted regulators are essential to maintaining the M2-like phenotype and function and thus represent potential targets for the therapeutic reprogramming of immunosuppressive M2-like macrophages. Public Library of Science 2020-02-25 /pmc/articles/PMC7059956/ /pubmed/32097424 http://dx.doi.org/10.1371/journal.pcbi.1007657 Text en © 2020 Hörhold et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hörhold, Franziska
Eisel, David
Oswald, Marcus
Kolte, Amol
Röll, Daniela
Osen, Wolfram
Eichmüller, Stefan B.
König, Rainer
Reprogramming of macrophages employing gene regulatory and metabolic network models
title Reprogramming of macrophages employing gene regulatory and metabolic network models
title_full Reprogramming of macrophages employing gene regulatory and metabolic network models
title_fullStr Reprogramming of macrophages employing gene regulatory and metabolic network models
title_full_unstemmed Reprogramming of macrophages employing gene regulatory and metabolic network models
title_short Reprogramming of macrophages employing gene regulatory and metabolic network models
title_sort reprogramming of macrophages employing gene regulatory and metabolic network models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059956/
https://www.ncbi.nlm.nih.gov/pubmed/32097424
http://dx.doi.org/10.1371/journal.pcbi.1007657
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