Integrated transcriptomic and metabolomic analysis reveals the metabolic programming of GM-CSF- and M-CSF- differentiated mouse macrophages
Macrophages play a critical role in the inflammatory response and tumor development. Macrophages are primarily divided into pro-inflammatory M1-like and anti-inflammatory M2-like macrophages based on their activation status and functions. In vitro macrophage models could be derived from mouse bone m...
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Published in | Frontiers in immunology Vol. 14; p. 1230772 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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25.09.2023
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Abstract | Macrophages play a critical role in the inflammatory response and tumor development. Macrophages are primarily divided into pro-inflammatory M1-like and anti-inflammatory M2-like macrophages based on their activation status and functions.
In vitro
macrophage models could be derived from mouse bone marrow cells stimulated with two types of differentiation factors: GM-CSF (GM-BMDMs) and M-CSF (M-BMDMs), to represent M1- and M2-like macrophages, respectively. Since macrophage differentiation requires coordinated metabolic reprogramming and transcriptional rewiring in order to fulfill their distinct roles, we combined both transcriptome and metabolome analysis, coupled with experimental validation, to gain insight into the metabolic status of GM- and M-BMDMs. The data revealed higher levels of the tricarboxylic acid cycle (TCA cycle), oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO), and urea and ornithine production from arginine in GM-BMDMs, and a preference for glycolysis, fatty acid storage, bile acid metabolism, and citrulline and nitric oxide (NO) production from arginine in M-BMDMs. Correlation analysis with the proteomic data showed high consistency in the mRNA and protein levels of metabolic genes. Similar results were also obtained when compared to RNA-seq data of human monocyte derived macrophages from the GEO database. Furthermore, canonical macrophage functions such as inflammatory response and phagocytosis were tightly associated with the representative metabolic pathways. In the current study, we identified the core metabolites, metabolic genes, and functional terms of the two distinct mouse macrophage populations. We also distinguished the metabolic influences of the differentiation factors GM-CSF and M-CSF, and wish to provide valuable information for
in vitro
macrophage studies. |
---|---|
AbstractList | Macrophages play a critical role in the inflammatory response and tumor development. Macrophages are primarily divided into pro-inflammatory M1-like and anti-inflammatory M2-like macrophages based on their activation status and functions.
In vitro
macrophage models could be derived from mouse bone marrow cells stimulated with two types of differentiation factors: GM-CSF (GM-BMDMs) and M-CSF (M-BMDMs), to represent M1- and M2-like macrophages, respectively. Since macrophage differentiation requires coordinated metabolic reprogramming and transcriptional rewiring in order to fulfill their distinct roles, we combined both transcriptome and metabolome analysis, coupled with experimental validation, to gain insight into the metabolic status of GM- and M-BMDMs. The data revealed higher levels of the tricarboxylic acid cycle (TCA cycle), oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO), and urea and ornithine production from arginine in GM-BMDMs, and a preference for glycolysis, fatty acid storage, bile acid metabolism, and citrulline and nitric oxide (NO) production from arginine in M-BMDMs. Correlation analysis with the proteomic data showed high consistency in the mRNA and protein levels of metabolic genes. Similar results were also obtained when compared to RNA-seq data of human monocyte derived macrophages from the GEO database. Furthermore, canonical macrophage functions such as inflammatory response and phagocytosis were tightly associated with the representative metabolic pathways. In the current study, we identified the core metabolites, metabolic genes, and functional terms of the two distinct mouse macrophage populations. We also distinguished the metabolic influences of the differentiation factors GM-CSF and M-CSF, and wish to provide valuable information for
in vitro
macrophage studies. Macrophages play a critical role in the inflammatory response and tumor development. Macrophages are primarily divided into pro-inflammatory M1-like and anti-inflammatory M2-like macrophages based on their activation status and functions. In vitro macrophage models could be derived from mouse bone marrow cells stimulated with two types of differentiation factors: GM-CSF (GM-BMDMs) and M-CSF (M-BMDMs), to represent M1- and M2-like macrophages, respectively. Since macrophage differentiation requires coordinated metabolic reprogramming and transcriptional rewiring in order to fulfill their distinct roles, we combined both transcriptome and metabolome analysis, coupled with experimental validation, to gain insight into the metabolic status of GM- and M-BMDMs. The data revealed higher levels of the tricarboxylic acid cycle (TCA cycle), oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO), and urea and ornithine production from arginine in GM-BMDMs, and a preference for glycolysis, fatty acid storage, bile acid metabolism, and citrulline and nitric oxide (NO) production from arginine in M-BMDMs. Correlation analysis with the proteomic data showed high consistency in the mRNA and protein levels of metabolic genes. Similar results were also obtained when compared to RNA-seq data of human monocyte derived macrophages from the GEO database. Furthermore, canonical macrophage functions such as inflammatory response and phagocytosis were tightly associated with the representative metabolic pathways. In the current study, we identified the core metabolites, metabolic genes, and functional terms of the two distinct mouse macrophage populations. We also distinguished the metabolic influences of the differentiation factors GM-CSF and M-CSF, and wish to provide valuable information for in vitro macrophage studies. |
Author | Lu, Peizhe Song, Qiaoling Gao, Danling Zhang, Qianyue Liu, Shan Zhao, Guanghui Xu, Yuting Liu, Yuantao Wu, Lihong Zhao, Chenyang Yang, Jinbo |
AuthorAffiliation | 5 Medical Laboratory Center, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University , Qingdao , China 3 Department of Neuroscience, University of Michigan , Ann Arbor, MI , United States 2 Innovation Platform of Marine Drug Screening and Evaluation, Qingdao Marine Science and Technology Center , Qingdao , China 6 Oncology Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University , Qingdao , China 1 Key Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China , Qingdao , China 4 Department of Endocrinology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University , Qingdao , China |
AuthorAffiliation_xml | – name: 2 Innovation Platform of Marine Drug Screening and Evaluation, Qingdao Marine Science and Technology Center , Qingdao , China – name: 4 Department of Endocrinology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University , Qingdao , China – name: 6 Oncology Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University , Qingdao , China – name: 1 Key Laboratory of Marine Drugs, Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China , Qingdao , China – name: 5 Medical Laboratory Center, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University , Qingdao , China – name: 3 Department of Neuroscience, University of Michigan , Ann Arbor, MI , United States |
Author_xml | – sequence: 1 givenname: Qianyue surname: Zhang fullname: Zhang, Qianyue – sequence: 2 givenname: Qiaoling surname: Song fullname: Song, Qiaoling – sequence: 3 givenname: Shan surname: Liu fullname: Liu, Shan – sequence: 4 givenname: Yuting surname: Xu fullname: Xu, Yuting – sequence: 5 givenname: Danling surname: Gao fullname: Gao, Danling – sequence: 6 givenname: Peizhe surname: Lu fullname: Lu, Peizhe – sequence: 7 givenname: Yuantao surname: Liu fullname: Liu, Yuantao – sequence: 8 givenname: Guanghui surname: Zhao fullname: Zhao, Guanghui – sequence: 9 givenname: Lihong surname: Wu fullname: Wu, Lihong – sequence: 10 givenname: Chenyang surname: Zhao fullname: Zhao, Chenyang – sequence: 11 givenname: Jinbo surname: Yang fullname: Yang, Jinbo |
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Copyright | Copyright © 2023 Zhang, Song, Liu, Xu, Gao, Lu, Liu, Zhao, Wu, Zhao and Yang 2023 Zhang, Song, Liu, Xu, Gao, Lu, Liu, Zhao, Wu, Zhao and Yang |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Christos Tsatsanis, University of Crete, Greece; Christina Coughlan, University of Colorado Anschutz Medical Campus, United States Present address: Chenyang Zhao, Department of Cancer Biology, Cleveland Clinic, Cleveland, OH, United States Edited by: Yahya Sohrabi, University Hospital Münster, Germany These authors have contributed equally to this work |
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Title | Integrated transcriptomic and metabolomic analysis reveals the metabolic programming of GM-CSF- and M-CSF- differentiated mouse macrophages |
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