Skip to main content


Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Figure 5 | Journal of Translational Medicine

Figure 5

From: A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability

Figure 5

Plaque destabilization subnetwork coverage and HYP scoring by murine and human datasets. A. Coverage of the plaque destabilization subnetwork. A chimeric (human/mouse) version of the plaque destabilization network is visualized. Nodes that are possible HYPs have a bar plot indicating if the node is a significant HYP in the Mm_Ao_16w_ApoE_CS_vs_sham, the Mm_Ao_78w_ApoE_vs_wt, and/or the Hs_athCA_vs_ctIMA datasets. HYPs that are predicted down- or up-regulated are blue and orange, respectively. Color intensity reflects statistical significance while grey bars indicate no significant prediction. Bar plots in non-significant nodes for all three datasets were flattened. Circled HYPs in red (PPARA and CD40LG) are two examples of HYPs that were predicted decreased and increased, respectively, in the Mm_Ao_16w_ApoE_CS_vs_sham dataset. B. HYP scoring of human dataset. Gene expression underlying the HYP with the upstream node taof(STAT1) scored for the Hs_athCA_vs_ctIMA dataset. C. HYP scoring of murine dataset. Gene expression underlying the HYP with the upstream node taof(Stat1) scored for the Mm_Ao_78w_ApoE_vs_wt dataset. HYP networks contain measured RNA abundance nodes, represented as circles colored by differential expression (red = significantly increased, green = significantly decreased, white = no significant change). Differentially expressed RNAs mapped to the network includes supporting increased (solid arrows) and decreased (dotted lines) mechanism activity.

Back to article page