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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.

miRNA-gene regulations

(Download full result)

Num microRNA           Gene miRNA log2FC miRNA pvalue Gene log2FC Gene pvalue Interaction Correlation beta Correlation P-value PMID Reported in cancer studies
1 hsa-miR-125a-5p TP53 0.07 0.98866 -0.59 0.83444 miRNAWalker2 validate; miRTarBase; miRanda -0.28 0.00023 26389681; 21777146; 23079745 Mechanistically inactivation of miR-125a during cervical carcinogenesis was caused by HPV suppression of p53 expression;In addition wild-type p53 mRNA and protein expression was increased by hsa-miR-125a-5p overexpression; Moreover blocking wild-type p53 attenuated the effect of hsa-miR-125a-5p on apoptosis; In loss-of-function experiments wild-type p53 mRNA and protein expression was decreased by blocking hsa-miR-125a-5p; The effect of hsa-miR-125a-5p inhibitor on apoptosis was also weakened by blocking wild-type p53;Furthermore treatment of HCC cells with 5-aza-2'-deoxycytidine or ectopic expression of wildtype but not mutated p53 restored miR-125a-5p and miR-125b expression and inhibited tumor cell growth suggesting their regulation by promoter methylation and p53 activity
2 hsa-miR-421 TP53 0.11 0.82481 -0.59 0.83444 miRanda -0.15 0.01014 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Mitophagy_animal_hsa04137 2 65 0.000369 0.01919

Quest ID: 226dbd25efc7fe3876d4cfd800aac7c7