Skip to main content
[Preprint]. 2024 Jan 8:2023.12.28.573505. [Version 2] doi: 10.1101/2023.12.28.573505

Figure 2:

Figure 2:

(A) Networks were inferred from the gene expression profiles of RA and OA biopsies in different cell types. Network edges are endowed with weights representing the probability of regulatory interactions between a transcription factor (TF) and a target gene (TG). The analysis of differences in edge weights between RA and OA facilitated the construction of a differential GRN (dGRN) for each cell type. The dGRN was used to compute a regulatory score for each TF in each cell type. (B) Heatmap of the Pearson correlation between the TF regulatory scores in each tissue type, i.e. synovial tissue, monocyte, FLS, B cell, and T cell).