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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-130a-3p HOXA5 0.03 0.98252 2.55 0.00128 miRNAWalker2 validate; miRTarBase; miRNATAP -0.56 0.00137
2 hsa-miR-186-5p TUBB2B -0.06 0.97402 -2.6 0.00373 miRNAWalker2 validate -0.85 0.00035
3 hsa-let-7b-5p KLHL31 0.61 0.88157 -1.1 0.00513 MirTarget -0.22 0.00377
4 hsa-let-7d-5p KLHL31 0.36 0.87121 -1.1 0.00513 MirTarget -0.22 0.01057
5 hsa-miR-10a-5p ZNF660 1.58 0.64009 -0.87 0.00578 MirTarget -0.12 0.00035
6 hsa-miR-1275 CYP27B1 0.94 0.34521 -1.04 0.00485 MirTarget -0.12 0.00913
7 hsa-miR-1296-5p KLHL31 0.06 0.96879 -1.1 0.00513 MirTarget -0.18 0.00967
8 hsa-miR-182-5p EPYC -0.14 0.96263 2.84 0.00838 MirTarget -0.38 0.01079
9 hsa-miR-182-5p TCEAL7 -0.14 0.96263 1.22 0.00121 MirTarget -0.22 2.0E-5
10 hsa-miR-195-3p TUBB2B 0.09 0.92009 -2.6 0.00373 MirTarget -0.5 0.0015
11 hsa-miR-27b-3p KLHL31 0.5 0.84374 -1.1 0.00513 MirTarget -0.22 0.01208
12 hsa-miR-29a-3p TUBB2B 0.62 0.84783 -2.6 0.00373 MirTarget; miRNATAP -1.03 0
13 hsa-miR-29b-3p TUBB2B 0.51 0.45759 -2.6 0.00373 MirTarget; miRNATAP -0.67 0
14 hsa-miR-29c-3p TUBB2B 0.4 0.7718 -2.6 0.00373 MirTarget; miRNATAP -0.76 0
15 hsa-miR-365a-5p UPK2 -0.18 0.7768 1.85 0.00291 MirTarget -0.26 0.03945
16 hsa-miR-485-3p CCL7 0.06 0.96454 -2.06 0.00231 MirTarget -0.17 0.03249
17 hsa-miR-511-5p ZNF660 -0.09 0.8783 -0.87 0.00578 MirTarget -0.12 0.00851
18 hsa-miR-664a-5p TCEAL7 0.13 0.84045 1.22 0.00121 MirTarget -0.2 0.00613
19 hsa-miR-9-5p CALB2 -0.34 0.82848 2.22 0.00415 MirTarget; miRNATAP -0.3 0.0001
20 hsa-miR-423-5p GRM4 -0.35 0.86238 -1.65 0.00779 PITA -0.35 0.03007
21 hsa-miR-361-3p ADAM11 -0.41 0.85675 -1.13 0.00841 PITA; mirMAP -0.33 0.00188
22 hsa-miR-129-5p HAND2 0.34 0.79155 1.95 0.00037 miRanda -0.18 0.01066
23 hsa-miR-129-5p EPYC 0.34 0.79155 2.84 0.00838 miRanda -0.43 0.00216
24 hsa-miR-296-3p TCEAL7 -0.11 0.90124 1.22 0.00121 miRanda -0.15 0.0085
25 hsa-miR-361-5p HAND2 -0.28 0.90427 1.95 0.00037 miRanda -0.69 8.0E-5
26 hsa-miR-361-5p TCEAL7 -0.28 0.90427 1.22 0.00121 miRanda -0.36 0.00291
27 hsa-miR-375 FAM180A -1.76 0.51496 1.7 0.00087 miRanda -0.28 0
28 hsa-miR-320c CCL7 0.27 0.6737 -2.06 0.00231 miRanda -0.31 0.00927
29 hsa-miR-29b-3p ADAM11 0.51 0.45759 -1.13 0.00841 mirMAP -0.27 0
30 hsa-miR-29c-3p ADAM11 0.4 0.7718 -1.13 0.00841 mirMAP -0.36 0
31 hsa-let-7b-3p ZNF660 0.42 0.84334 -0.87 0.00578 mirMAP -0.23 0.00043
32 hsa-let-7f-1-3p ZNF660 0.45 0.41759 -0.87 0.00578 mirMAP -0.15 0.00701
33 hsa-miR-29b-1-5p ZNF660 0.1 0.88344 -0.87 0.00578 mirMAP -0.13 0.01794
34 hsa-miR-576-5p ZNF660 -0.5 0.41366 -0.87 0.00578 mirMAP -0.15 0.00773
35 hsa-miR-616-5p ZNF660 -0.58 0.13268 -0.87 0.00578 mirMAP -0.11 0.03492
36 hsa-miR-320c HOXA5 0.27 0.6737 2.55 0.00128 miRNATAP -0.36 0.01715
37 hsa-let-7g-5p HAND2 -0.03 0.98708 1.95 0.00037 miRNATAP -0.27 0.0233
38 hsa-miR-320d HOXA5 0.84 0.1588 2.55 0.00128 miRNATAP -0.27 0.02378
39 hsa-miR-222-3p ADAM11 0.07 0.96964 -1.13 0.00841 miRNATAP -0.26 0.00147
40 hsa-miR-221-3p ADAM11 0.08 0.97027 -1.13 0.00841 miRNATAP -0.3 0.00022
41 hsa-miR-30d-5p CALB2 0.08 0.98196 2.22 0.00415 miRNATAP -0.37 0.03266
42 hsa-miR-30d-5p ADAM11 0.08 0.98196 -1.13 0.00841 miRNATAP -0.24 0.01756
43 hsa-miR-205-5p GPC2 0.21 0.93513 -1.3 0.00841 miRNATAP -0.1 0.00198
44 hsa-miR-26b-5p HOXA5 0.38 0.81911 2.55 0.00128 miRNATAP -0.58 0.00784
45 hsa-miR-25-3p HAND2 -0.22 0.95112 1.95 0.00037 miRNATAP -0.68 1.0E-5
46 hsa-miR-181c-5p HAND2 -0.3 0.84148 1.95 0.00037 miRNATAP -0.4 4.0E-5
47 hsa-miR-338-3p CCL21 -0.15 0.87896 2.64 0.00953 miRNATAP -0.4 0.00558
48 hsa-miR-30c-5p CALB2 -0.08 0.9735 2.22 0.00415 miRNATAP -0.42 0.01887
49 hsa-miR-15a-5p C2orf72 -0.24 0.80694 -1.38 0.00982 miRNATAP -0.26 0.0051
50 hsa-miR-16-5p C2orf72 0.02 0.98826 -1.38 0.00982 miRNATAP -0.25 0.02647

Over-represented Gene Ontology Biological Process

NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa04062_Chemokine_signaling_pathway 2 387 0.04194 1

Quest ID: dd3dd55f77f8bfacf5d3b1f16d3c4bda