In order to better define such process we looked into a transcriptomic dataset, already deposited by us (10), of macrophages treated with IFN-γ or IL-4. Common regulated transcripts were identified and the enrichment in specific transcription factor/s in the selected dataset was predicted by bioinformatical annotation. Based on the FDR-corrected p-value of the hypergeometric probability, we found that at least eleven TFs were strongly associated with the most representative upregulated transcripts; a list of such TFs is reported in the heatmap of Figure 6C. Since some of them, such as AP-1, NFAT, and SP-1, can be pharmacologically modulated (34–36), we treated CHME-5 cells with their respective inhibitors before IFN-γ and IL-4 stimulation: however, none of them was able to reduce the amount of MVs released after cytokine treatment (Figure 6D). These results exclude the involvement of AP-1, NFAT, and SP-1 in regulating the cytokine-mediated release of MVs and will restrict the next interventions to the other TFs we reported to be strongly associated to both IFN-γ and IL-4 signaling.