Fig. 7
From: A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets
Construction of MNMs and prioritization of URs. A (1) Determination of DEGs (red) in a cell type (gray). (2) Bioinformatic identification of the predicted UR of the DEGs. (3) Identification of another cell type (blue) in which that UR is differentially expressed. (4) A directed interaction from the blue to the gray cell type is formed. B Example of one MNM (at 0 h) which was constructed based on directed interactions as described in A. C MNMs created at each time point. Node sizes correspond to the number of DEGs between cells isolated from patients compared to healthy controls. Edge width represents the number of predicted URs. Edge color corresponds to the source cell. D Heatmap of top 40 URs ranked based on the number of cell types that each UR is predicted to regulate at different time points. Color intensity boxes indicate the statistical significance of predictions. Grey boxes indicate non-significant predictions. A positive z-score indicates that the direction of the differential expression matches the predicted direction (orange), while a negative z-score indicates the opposite (blue). The inserted boxes on the right correspond to the top 20 URs in the left boxes. E, F Dynamic UR-target models showing predicted cell-type targets of PDGF-BB and IL-4 in allergen-stimulated patients. Node size denotes the significance of the association (z-score)