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. 2022 Aug 15;13:4728. doi: 10.1038/s41467-022-32390-1

Fig. 9. DREADD-based chimeras shape the inflammatory response and recapitulate the β2AR signature with high similarity.

Fig. 9

a–e Vulcano plots of next generation mRNA sequencing data from different HMC3 cell lines simultaneously treated with IFNγ/IL1β, and either levalbuterol (LB) or CNO. Graphs show individual genes (points), their log2 fold change and p-value in comparison to IFNγ/IL1β alone in the same cell line. DE: number of differentially expressed genes (orange data points) defined by p < 0.1 and absolute linear fold change > 2. Horizontal lines: false discovery rate (FDR) cutoff of 10% (p < 0.1). Vertical lines: linear fold change cutoff for downregulation (<−2) and upregulation (>2), respectively. Source data are provided as a Source Data file. f Pearson correlation of GPCR signatures across all differentially expressed genes (dots) shown in a–c based on their log2 fold change compared to IFNγ/IL1β alone in the same cell line. Orange line and ribbon: fitted linear model with 95% confidence intervals. Pearson correlation coefficients: 0.815 (Endogenous β2AR vs. DREADD-β2AR; p < 0.001); 0.781 (Endogenous β2AR vs. DREADD-GPR65; p < 0.001); 0.814 (DREADD-β2AR vs. DREADD-GPR65; p < 0.001). Source data are provided as a Source Data file. g Hierarchical clustering of samples (columns) and all differentially expressed genes (rows) shown in a–c based on log2 fold changes. Upregulation (green) and downregulation (blue) compared to IFNγ/IL1β alone in the same cell line. Source data are provided as a Source Data file.