Figure 3.

RNA sequencing analysis to identify alteration in gene expression and signal network by chelidonine. (A) Hierarchical gene clustering was generated with the TM4 Microarray Software Suite (MeV) from chelidonine-treated BxPC-3 and MIA PaCa-2 pancreatic cancer cells. The red and blue colors represent genes that were up- and down-regulated, respectively, by more than 2.5-fold. The ratios of gene profiles are presented as a heat map (left panel) and gene expression pattern (right panel). (B) Combined screenshots from the STRING website, showing results obtained upon entering a set of 7 proteins suspected to be involved in the apoptotic process (Gene Ontology (GO) analysis) and cell cycle pathway (KEGG pathway). The insets show the accessory information available for a single protein, a reported enrichment of functional connections among the set of proteins, and statistical enrichments detected in functional subsystems. (C) GO and KEGG pathway analysis on protein–protein interactions. Enriched functions were selected, and the corresponding protein nodes in the network were automatically highlighted.