This regulatory network was inferred from the input dataset. The miRNAs and mRNAs are
presented as round and rectangle nodes respectively. The numerical value popped up upon mouse over the gene node is the log2 transformed fold-change of the gene expression between the two groups. All of the nodes are clickable, and the detailed information of the miRNAs/mRNAs and related cancer pathway will be displayed in another window. The edges between nodes are supported by both interactions (predicted or experimentally verified) and correlations learnt from cancer dataset. The numerical value popped up upon mouse over the edge is the correlation beat value (effect size) between the two nodes. The experimental evidences of the edges reported in previous cancer studies are highlighted by red/orange color. All of these information can be accessed by the "mouse-over" action. This network shows a full map of the miRNA-mRNA regulation of the input gene list(s), and the hub miRNAs (with the high network degree/betweenness centrality) would be the potential cancer drivers or tumor suppressors. The full result table can be accessed in the "Regulations" tab.
"miRNACancerMAP" is also a network visualization tool for users to draw their regulatory network by personal customization. Users can set the complexity of the network by limiting the number of nodes or edges. And the color of the nodes can be defined by different categories of the mRNAs and miRNAs, such as Gene-Ontology, pathway, and expression status. Users can also select to use network degree or network betweenness centrality to define the node size. And edges can be black or colored by the correlation. Purple edge means negative correlation (mostly found between miRNA and mRNA), and blue edge means positive correlation (found in PPI or miRNA-miRNA sponge effect). We can also add the protein-protein interactions (PPI) into the network. This result will show the cluster of genes regulated by some specific miRNAs. Additionally, miRNA-miRNA edges can be added by the "miRNA sponge" button, presenting some clusters of miRNAs that have the interactions via sponge effect.
MicroRNA let 7a inhibits proliferation of human prostate cancer cells in vitro and in vivo by targeting E2F2 and CCND2;Tumor suppressive microRNA let 7a inhibits cell proliferation via targeting of E2F2 in osteosarcoma cells; When let-7a was transfected into OS cell lines the expression of E2F2 in the cells was greatly suppressed suggesting that E2F2 is a target of miRNA-let-7a in OS cells
miR 125b regulates the proliferation of glioblastoma stem cells by targeting E2F2; This study demonstrated that miR-125b plays important roles in regulating the proliferation of GSCs by directly targeting E2F2
MiR 26a enhances the sensitivity of gastric cancer cells to cisplatin by targeting NRAS and E2F2; Our results suggest that miR-26a can improve the sensitivity of GC cells to cisplatin-based chemotherapies through targeting NRAS and E2F2 and provide the first evidence of the potential utility of miR-26a as a sensitizer in chemotherapy for GC