Discrepant Phenotyping of Monocytes Based on CX3CR1 and CCR2 Using Fluorescent Reporters and Antibodies.
Katrin SommerHilal GaribagaogluEva-Maria PaapMaximilian WiendlTanja M MüllerImke AtreyaGerhard KrönkeMarkus F NeurathSebastian ZundlerPublished in: Cells (2024)
Monocytes, as well as downstream macrophages and dendritic cells, are essential players in the immune system, fulfilling key roles in homeostasis as well as in inflammatory conditions. Conventionally, driven by studies on reporter models, mouse monocytes are categorized into a classical and a non-classical subset based on their inversely correlated surface expression of Ly6C/CCR2 and CX3CR1. Here, we aimed to challenge this concept by antibody staining and reporter mouse models. Therefore, we took advantage of Cx3cr1 GFP and Ccr2 RFP reporter mice, in which the respective gene was replaced by a fluorescent reporter protein gene. We analyzed the expression of CX3CR1 and CCR2 by flow cytometry using several validated fluorochrome-coupled antibodies and compared them with the reporter gene signal in these reporter mouse strains. Although we were able to validate the specificity of the fluorochrome-coupled flow cytometry antibodies, mouse Ly6C high classical and Ly6C low non-classical monocytes showed no differences in CX3CR1 expression levels in the peripheral blood and spleen when stained with these antibodies. On the contrary, in Cx3cr1 GFP reporter mice, we were able to reproduce the inverse correlation of the CX3CR1 reporter gene signal and Ly6C surface expression. Furthermore, differential CCR2 surface expression correlating with the expression of Ly6C was observed by antibody staining, but not in Ccr2 RFP reporter mice. In conclusion, our data suggest that phenotyping strategies for mouse monocyte subsets should be carefully selected. In accordance with the literature, the suitability of CX3CR1 antibody staining is limited, whereas for CCR2, caution should be applied when using reporter mice.
Keyphrases
- dendritic cells
- flow cytometry
- crispr cas
- poor prognosis
- peripheral blood
- regulatory t cells
- binding protein
- immune response
- genome wide
- high fat diet induced
- copy number
- skeletal muscle
- escherichia coli
- machine learning
- long non coding rna
- gene expression
- dna methylation
- mouse model
- small molecule
- metabolic syndrome
- artificial intelligence
- genome wide analysis