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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-151a-3p ARHGAP23 0.67 0.00028 -1.29 0 MirTarget -0.18 0.00091 NA
2 hsa-miR-151a-3p BEX5 0.67 0.00028 -1.66 2.0E-5 MirTarget -0.19 0.04613 NA
3 hsa-miR-151a-3p CACNA1G 0.67 0.00028 -0.03 0.95247 MirTarget -0.34 0.0014 NA
4 hsa-miR-151a-3p CCND2 0.67 0.00028 -1.64 0 mirMAP -0.28 0 NA
5 hsa-miR-151a-3p CLK1 0.67 0.00028 0.29 0.06201 miRNATAP -0.17 1.0E-5 NA
6 hsa-miR-151a-3p DENND4B 0.67 0.00028 0.28 0.02713 miRNAWalker2 validate -0.16 0 NA
7 hsa-miR-151a-3p FMNL3 0.67 0.00028 -0.7 0 mirMAP -0.15 0.0001 NA
8 hsa-miR-151a-3p H6PD 0.67 0.00028 -0.41 0.00643 mirMAP -0.11 0.00395 NA
9 hsa-miR-151a-3p LUC7L 0.67 0.00028 0.78 0 MirTarget -0.24 0 NA
10 hsa-miR-151a-3p MAFK 0.67 0.00028 0.01 0.97272 mirMAP -0.27 1.0E-5 NA
11 hsa-miR-151a-3p MAST3 0.67 0.00028 -0.43 0.00134 mirMAP -0.25 0 NA
12 hsa-miR-151a-3p MDM4 0.67 0.00028 0.5 0.00108 mirMAP -0.1 0.00817 NA
13 hsa-miR-151a-3p MGLL 0.67 0.00028 -1.07 2.0E-5 mirMAP -0.13 0.03466 NA
14 hsa-miR-151a-3p MLC1 0.67 0.00028 -2.07 0 MirTarget -0.35 0.00047 NA
15 hsa-miR-151a-3p MRVI1 0.67 0.00028 -0.87 0.00022 MirTarget -0.24 3.0E-5 NA
16 hsa-miR-151a-3p NTRK3 0.67 0.00028 -2.56 0 miRNAWalker2 validate; miRTarBase -0.49 0 NA
17 hsa-miR-151a-3p PIM3 0.67 0.00028 0.14 0.42444 miRNAWalker2 validate -0.14 0.00179 NA
18 hsa-miR-151a-3p PLXNA4 0.67 0.00028 -0.87 0.00822 miRNATAP -0.21 0.01018 NA
19 hsa-miR-151a-3p PTPRB 0.67 0.00028 -2.95 0 mirMAP -0.17 0.01299 NA
20 hsa-miR-151a-3p RBM5 0.67 0.00028 0.1 0.42382 MirTarget; miRNATAP -0.16 0 NA
21 hsa-miR-151a-3p RNF213 0.67 0.00028 0.52 0.00378 mirMAP -0.13 0.00306 NA
22 hsa-miR-151a-3p SERPINA1 0.67 0.00028 -1.36 0.00146 MirTarget -0.3 0.00592 NA
23 hsa-miR-151a-3p SLC6A17 0.67 0.00028 1.33 0.00804 mirMAP -0.31 0.01382 NA
24 hsa-miR-151a-3p SLC9A8 0.67 0.00028 -0.02 0.8834 mirMAP -0.12 0.00015 NA
25 hsa-miR-151a-3p ST8SIA2 0.67 0.00028 1.26 0.01373 mirMAP -0.27 0.03405 NA
26 hsa-miR-151a-3p TIFAB 0.67 0.00028 0.5 0.20861 mirMAP -0.29 0.00379 NA
27 hsa-miR-151a-3p TP53INP2 0.67 0.00028 -0.62 0.00148 mirMAP -0.12 0.01356 NA
28 hsa-miR-151a-3p TWIST1 0.67 0.00028 1.78 0.00018 miRNATAP -0.33 0.0058 NA
29 hsa-miR-151a-3p VAMP1 0.67 0.00028 0.75 0.00033 miRNATAP -0.36 0 NA
30 hsa-miR-151a-3p VGLL3 0.67 0.00028 -1.89 0 mirMAP -0.22 0.00362 NA
31 hsa-miR-151a-3p ZNF711 0.67 0.00028 -0.02 0.96152 miRNAWalker2 validate -0.22 0.01171 NA
32 hsa-miR-151a-3p ZNF763 0.67 0.00028 -0.76 0.00012 miRNAWalker2 validate -0.11 0.02534 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 p53_signaling_pathway_hsa04115 2 68 0.00529 0.2751

Quest ID: fec29123e7f43c5a3204dba9392b8de9