Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework II. Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework II

To inhibit JAK2 upon IL-6 and IL-10-induced JAK-STAT signaling and quantify gene expression in bone marrow derived macrophages (BMDMs). Bulk RNAseq was done on cytokine-stimulated BMDM with and without Fedratinib treatment in order to profile the JAK2-inhibited cytokine-induced response. Overall design: We stimulated BMDM with IL-6 and IL-10 at 1 ng/ml at 0, 1 and 2 hours with or without 1 nM of Fedratinib