To further explore specific networks that orchestrate ameloblast differentiation and identify the gene coexpression associations of DEGs in these networks, we used weighted gene coexpression network analysis (WGCNA) to identify modules containing highly coexpressed genes.
The fact that EG95-related antigens are so immunogenic is puzzling, since the Fn3 module contains highly conserved features, and is one of the most widespread domains of mosaic proteins [13], being present both in the parasite and the host.
The coexpression patterns of the genes are shown by heatmaps in Figure 2 of Additional data file 2. Each module contains highly correlated or anticorrelated genes, as shown by the vertical color patterns.
Three modules were revealed that contain highly conserved Hox, Pax5 and CREB transcription factor binding sites.
Several studies have demonstrated that biological networks are organized into pathways or modules, each of which contain highly connected groups of genes that may act semi-autonomously with respect to the action of the network as a whole [ 20].
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Eight genes were connected with the TF PIR centered sub-gene network module, and contained highly enriched genes associated with oxidoreductase activity (ACOT4, AKR7A3, RDH16, TXNRD1, and UGDH).
Furthermore, the modules contain thoroughly tested material that has been created through feedback and learning from the end users, making the modules highly user-centered.
Using network analysis, we identified 27 co-expression modules containing genes with highly correlated expression patterns that are associated with specific brain regions, ages or both.
Individual sensor modules contain LEDs, buttons and their own battery.
