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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-3065-3p AKR7A3 0.38 0.30796 3.73 0 MirTarget -0.19 0.01753 NA
2 hsa-miR-214-3p ANKS4B -1.11 4.0E-5 2.81 0.00057 MirTarget -0.27 0.04947 NA
3 hsa-miR-342-3p ANKS4B -0.13 0.56103 2.81 0.00057 miRanda -0.44 0.01108 NA
4 hsa-miR-542-3p ANKS4B 1.62 0 2.81 0.00057 miRanda -0.67 0 NA
5 hsa-miR-766-3p ANKS4B 0.08 0.76009 2.81 0.00057 MirTarget -0.33 0.02417 NA
6 hsa-miR-129-5p APOBEC1 -0.41 0.34149 2.06 0.00206 MirTarget -0.18 0.0119 NA
7 hsa-miR-375 ARL14 0.62 0.1492 2.06 0.00302 miRanda -0.38 0 NA
8 hsa-miR-106b-5p BCAS1 1.47 0 0.77 0.19155 mirMAP -0.26 0.04727 NA
9 hsa-miR-335-3p BCAS1 1.51 0 0.77 0.19155 mirMAP -0.59 0 NA
10 hsa-miR-197-3p C11orf86 -1.3 0 3.99 0 mirMAP -0.41 0.00115 NA
11 hsa-miR-491-5p CIDEC -0.47 0.06833 0.5 0.36592 miRanda; miRNATAP -0.37 0.00014 NA
12 hsa-miR-130a-3p CYP4F3 0.88 0.00016 0.69 0.36607 mirMAP -0.37 0.01454 NA
13 hsa-miR-181a-5p CYP4F3 -0.38 0.05621 0.69 0.36607 mirMAP -0.95 0 NA
14 hsa-miR-181b-5p CYP4F3 0.67 0.00024 0.69 0.36607 mirMAP -1.19 0 NA
15 hsa-miR-326 EPS8L3 -0.99 0.00335 2.26 0.01193 miRanda -0.48 9.0E-5 NA
16 hsa-miR-542-3p ERN2 1.62 0 1.31 0.11985 miRanda -0.57 0.00011 NA
17 hsa-miR-146b-5p GDA 1.09 1.0E-5 1.09 0.12381 miRanda -0.33 0.01401 NA
18 hsa-miR-181a-5p GDA -0.38 0.05621 1.09 0.12381 miRNATAP -0.35 0.03487 NA
19 hsa-miR-181b-5p GDA 0.67 0.00024 1.09 0.12381 miRNATAP -0.52 0.00381 NA
20 hsa-miR-182-5p GDA 3.22 0 1.09 0.12381 mirMAP -0.27 0.02641 NA
21 hsa-miR-224-3p GDA 0.92 0.01001 1.09 0.12381 mirMAP -0.19 0.04456 NA
22 hsa-miR-326 GDA -0.99 0.00335 1.09 0.12381 miRanda -0.39 5.0E-5 NA
23 hsa-miR-335-3p GDA 1.51 0 1.09 0.12381 mirMAP -0.37 0.01409 NA
24 hsa-miR-335-5p GJB4 -0.47 0.0677 1.09 0.08132 miRNAWalker2 validate -0.37 0.00358 NA
25 hsa-miR-130b-5p HNF4A 1.54 0 0.09 0.90873 mirMAP -0.41 0.00179 NA
26 hsa-miR-326 HNF4A -0.99 0.00335 0.09 0.90873 miRanda -0.26 0.01522 NA
27 hsa-miR-221-5p MUC6 -2.22 0 0.58 0.47199 mirMAP -0.39 0.0001 NA
28 hsa-miR-450b-5p MYBPC1 1.69 0 1.36 0.04157 miRNATAP -0.31 0.0033 NA
29 hsa-miR-146b-5p OLFM4 1.09 1.0E-5 1.06 0.14626 miRanda -0.33 0.01576 NA
30 hsa-miR-500a-3p OLFM4 -0.14 0.54575 1.06 0.14626 MirTarget -0.36 0.01613 NA
31 hsa-miR-342-5p PDX1 -0.38 0.0897 2.74 0.0005 MirTarget -0.46 0.00468 NA
32 hsa-miR-125a-3p PTPRH -1.05 0 4.73 0 miRanda -0.35 0.00491 NA
33 hsa-miR-129-5p PTPRH -0.41 0.34149 4.73 0 miRanda -0.3 0 NA
34 hsa-miR-335-5p PTPRH -0.47 0.0677 4.73 0 miRNAWalker2 validate -0.62 0 NA
35 hsa-miR-146b-5p SYT13 1.09 1.0E-5 1.71 0.05221 miRanda -0.72 2.0E-5 NA
36 hsa-miR-374b-3p TFF2 -0.16 0.53868 2.08 0.01607 MirTarget -0.54 0.0042 NA
37 hsa-miR-590-3p TM4SF4 0.84 0.00129 1.44 0.09892 miRanda -0.62 0.00078 NA
38 hsa-miR-590-3p TSPAN8 0.84 0.00129 0.12 0.85011 miRanda -0.34 0.01275 NA
39 hsa-let-7a-3p VIL1 0.17 0.43183 4.78 0 mirMAP -1.07 1.0E-5 NA
40 hsa-let-7b-3p VIL1 -1.82 0 4.78 0 mirMAP -1.43 0 NA
41 hsa-let-7f-1-3p VIL1 -0.09 0.69397 4.78 0 mirMAP -1.16 0 NA
42 hsa-miR-224-3p VIL1 0.92 0.01001 4.78 0 mirMAP -0.62 0 NA
43 hsa-miR-29a-5p VIL1 1.9 0 4.78 0 mirMAP -0.39 0.04184 NA
44 hsa-miR-3065-5p VIL1 0.65 0.09995 4.78 0 mirMAP -0.27 0.03086 NA
45 hsa-miR-584-5p VIL1 -1.67 0 4.78 0 mirMAP -0.47 0.00155 NA
46 hsa-miR-664a-3p VIL1 0.44 0.02142 4.78 0 mirMAP -0.47 0.0482 NA
47 hsa-miR-148b-3p VSIG1 0.48 0.00265 1.8 0.00992 MirTarget -0.84 3.0E-5 NA
48 hsa-miR-421 VSIG1 0.17 0.53528 1.8 0.00992 miRanda -0.67 0 NA

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

Quest ID: 98eceb495114bc3cf42e1a902e3a1009