Delineation of signaling routes that underlie differences in macrophage phenotypic states

Macrophages represent a major immune cell type in tumor microenvironments, they exist in multiple functional states and are of strong interest for therapeutic reprogramming. While signaling cascades defining proinflammatory macrophages are better characterized, pathways that drive polarization in immunosuppressive macrophages are incompletely mapped. Here, we performed an in-depth characterization of signaling events in primary human macrophages in different functional states using mass spectrometry-based (phospho-)proteomic profiling. Analysis of direct and indirect evidence of kinase activities suggested PAK2 and PKCα kinases as important regulators of <i>in vitro</i> immunosuppressive macrophages. Network integration of these data with the corresponding transcriptome profiles further highlighted FOS and NCOR2 as central transcription regulators in immunosuppressive states. Furthermore, we retrieved single-cell sequencing datasets for tumors from cancer patients and found that unbiased signatures identified here through proteomic analysis were able to separate proinflammatory macrophage populations in a clinical setting and could thus be used to expand state-specific markers. This study contributes to in-depth multi-omics characterizations of macrophage phenotypic landscapes, which could be valuable for assisting future interventions that therapeutically alter immune cell compartments.

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Publication Details

Journal
NAR Molecular Medicine
Published
2025-03-29
DOI
https://doi.org/10.1093/narmme/ugaf013
Citations
1
Primary Topic
Cytokine Signaling Pathways and Interactions
Type
article
Field-Weighted Citation Impact
1.05

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article

Delineation of signaling routes that underlie differences in macrophage phenotypic states

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1 citations
NAR Molecular Medicine
Cytokine Signaling Pathways and Interactions
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article

Delineation of signaling routes that underlie differences in macrophage phenotypic states

Tiberiu Totu, Jonas Bossart, Vanesa Ayala‐Nunez, Markus Rottmar, Bettina Sobottka, Marija Buljan, Guocan Yu, Chen Li, Elana Caire, Katharina Sribike
article en
1 citations

Abstract

Macrophages represent a major immune cell type in tumor microenvironments, they exist in multiple functional states and are of strong interest for therapeutic reprogramming. While signaling cascades defining proinflammatory macrophages are better characterized, pathways that drive polarization in immunosuppressive macrophages are incompletely mapped. Here, we performed an in-depth characterization of signaling events in primary human macrophages in different functional states using mass spectrometry-based (phospho-)proteomic profiling. Analysis of direct and indirect evidence of kinase activities suggested PAK2 and PKCα kinases as important regulators of <i>in vitro</i> immunosuppressive macrophages. Network integration of these data with the corresponding transcriptome profiles further highlighted FOS and NCOR2 as central transcription regulators in immunosuppressive states. Furthermore, we retrieved single-cell sequencing datasets for tumors from cancer patients and found that unbiased signatures identified here through proteomic analysis were able to separate proinflammatory macrophage populations in a clinical setting and could thus be used to expand state-specific markers. This study contributes to in-depth multi-omics characterizations of macrophage phenotypic landscapes, which could be valuable for assisting future interventions that therapeutically alter immune cell compartments.

NAR Molecular MedicineVol. 2(2)
SIB Swiss Institute of Bioinformatics (CH), Board of the Swiss Federal Institutes of Technology (CH), Discovery Institute (US), University Hospital of Zurich (CH), Monash University (AU), Swiss Federal Laboratories for Materials Science and Technology (CH), Tsinghua University (CN)
Cure Cancer Australia Foundation, Eidgenössische Technische Hochschule Zürich, Universität Zürich, Uniscientia Stiftung, Medical Research Council, National Health and Medical Research Council, Functional Genomics Center Zurich
Openalex Percentile: Top 23%
Cytokine Signaling Pathways and Interactions
1.05
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