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show label of nodes with degree >=

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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-210-3p BDNF -1.16 0.53707 0.67 0.41535 miRNAWalker2 validate; miRTarBase -0.12 7.0E-5
2 hsa-miR-210-3p CDK10 -1.16 0.53707 -0.07 0.95687 miRNAWalker2 validate -0.06 1.0E-5
3 hsa-miR-210-3p CPEB2 -1.16 0.53707 1.31 0.37361 miRNAWalker2 validate; miRTarBase -0.12 0
4 hsa-miR-210-3p ELK3 -1.16 0.53707 0.06 0.96032 miRNAWalker2 validate -0.12 0
5 hsa-miR-210-3p GPD1L -1.16 0.53707 1.07 0.53423 miRNAWalker2 validate; miRTarBase; MirTarget -0.1 0
6 hsa-miR-210-3p HOXA1 -1.16 0.53707 -0.33 0.47036 miRNAWalker2 validate; miRTarBase -0.06 0.00033
7 hsa-miR-210-3p HOXA3 -1.16 0.53707 0.91 0.23195 miRNAWalker2 validate -0.26 0 22672828 MiR-210 had no observable impact on the proliferation of PANC-1 or Su86.86 cells and dual luciferase reporter assays showed significantly reduced luciferase activity in the wild-type E2F3 EFNA3 GIT2 MNT ZNF462 and EGR3 constructs compared to the corresponding mutants but not in HOXA3
8 hsa-miR-210-3p HOXA9 -1.16 0.53707 0.55 0.48406 miRNAWalker2 validate; miRTarBase -0.21 0
9 hsa-miR-210-3p ISCU -1.16 0.53707 0.19 0.90636 miRNAWalker2 validate; miRTarBase; MirTarget -0.09 0
10 hsa-miR-210-3p MDGA1 -1.16 0.53707 0.65 0.45803 miRNAWalker2 validate -0.09 0
11 hsa-miR-210-3p NCAM1 -1.16 0.53707 0.58 0.52468 miRNAWalker2 validate; miRTarBase -0.16 0
12 hsa-miR-210-3p NPTX1 -1.16 0.53707 -1.02 0.22502 miRNAWalker2 validate; miRTarBase -0.17 0
13 hsa-miR-210-3p SCN1B -1.16 0.53707 0.53 0.574 miRNAWalker2 validate -0.18 0
14 hsa-miR-210-3p XPA -1.16 0.53707 0.43 0.67684 miRNAWalker2 validate -0.05 0
15 hsa-miR-210-3p XIST -1.16 0.53707 0.57 0.80858 miRTarBase -0.16 0
16 hsa-miR-210-3p PCYT1B -1.16 0.53707 -0 0.99642 MirTarget -0.09 0.00179
17 hsa-miR-210-3p SH3BGRL -1.16 0.53707 1.5 0.47928 MirTarget -0.05 0.00489
18 hsa-miR-210-3p KIF5A -1.16 0.53707 -0.71 0.50411 MirTarget -0.15 9.0E-5
19 hsa-miR-210-3p IGF2 -1.16 0.53707 2.01 0.30679 MirTarget -0.33 0
20 hsa-miR-210-3p PROK1 -1.16 0.53707 -0.21 0.86074 MirTarget -0.29 0
21 hsa-miR-210-3p PDZD4 -1.16 0.53707 -0.04 0.96568 MirTarget -0.25 0
22 hsa-miR-210-3p MPEG1 -1.16 0.53707 -0.65 0.64589 MirTarget -0.11 0
23 hsa-miR-210-3p POU2AF1 -1.16 0.53707 -3.22 0.00221 MirTarget -0.17 0
24 hsa-miR-210-3p CORO2B -1.16 0.53707 1.58 0.05662 MirTarget -0.3 0
25 hsa-miR-210-3p SLC16A14 -1.16 0.53707 0.94 0.35972 MirTarget -0.06 0.0004
26 hsa-miR-210-3p SCARA3 -1.16 0.53707 -0.81 0.59258 MirTarget -0.09 0
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa00564_Glycerophospholipid_metabolism 2 387 0.08954 1

Quest ID: 828f6241bb1ecacb7f0e5ecd3accdd45