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Fig. 6 | BMC Genomics

Fig. 6

From: Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation

Fig. 6

Pre- and Post-maturation networks based on differentially connected genes (DCGs) (A), Subnetworks of the most differentially connected trio genes between pre- and post-maturation networks (top). This revealed TRIM25, a E3 Ubiquitin ligase as the key regulator with the greatest number of gained connections in the post-maturation network. Subnetworks of top differentially connected regulators (TFs) (bottom), networks created with the most differentially connected TFs between pre- and post-maturation networks showed zinc finger protein 423 (ZNF423) as the key regulator with the greatest number of gained connections and Kruppel-like factor 11 (KLF11) as the regulator with the least number of gained connections going from pre- to post-maturation (B), Expression patterns of genes of the TRIM25-asscoiated network. The heatmap shows hierarchical clustering based on mean-centred normalised (log2FPKM) expression values

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