Visible node/edge number:
Node colors:
Node labels:

show label of nodes with degree >=

Node sizes:
Edge colors:
Edge widths factor:
Layout:

gravity >=

edgeLength =

GRN in network:

Notice: IE browser need to manually refresh (F5) this page after resetting the network.

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-370-3p AKTIP 0.89 3.0E-5 -0.38 0.00082 MirTarget -0.11 0.00049 NA
2 hsa-miR-370-3p ANK3 0.89 3.0E-5 -0.55 0.00086 MirTarget -0.13 0.00546 NA
3 hsa-miR-370-3p ATG14 0.89 3.0E-5 0 0.96836 MirTarget -0.11 0.00026 NA
4 hsa-miR-370-3p B3GALT2 0.89 3.0E-5 -0.91 0.00011 MirTarget -0.16 0.01598 NA
5 hsa-miR-370-3p CACNB2 0.89 3.0E-5 -1.06 0.00045 MirTarget -0.36 2.0E-5 NA
6 hsa-miR-370-3p CARNS1 0.89 3.0E-5 -1.25 0 MirTarget -0.29 0.00016 NA
7 hsa-miR-370-3p CASQ2 0.89 3.0E-5 -3.24 0 MirTarget -0.74 0 NA
8 hsa-miR-370-3p CHD5 0.89 3.0E-5 -0.92 0.01521 MirTarget -0.35 0.00112 NA
9 hsa-miR-370-3p COL4A3 0.89 3.0E-5 -0.75 0.03615 MirTarget -0.39 0.0001 NA
10 hsa-miR-370-3p DUSP3 0.89 3.0E-5 -0.54 5.0E-5 MirTarget -0.16 2.0E-5 NA
11 hsa-miR-370-3p ELL2 0.89 3.0E-5 -1.46 0 MirTarget -0.16 0.00062 NA
12 hsa-miR-370-3p EML1 0.89 3.0E-5 -1.04 9.0E-5 MirTarget -0.18 0.01915 NA
13 hsa-miR-370-3p ITGB1BP2 0.89 3.0E-5 -1.23 0 MirTarget -0.4 0 NA
14 hsa-miR-370-3p JAZF1 0.89 3.0E-5 -0.38 0.02677 MirTarget -0.13 0.00593 NA
15 hsa-miR-370-3p MEGF9 0.89 3.0E-5 -0.6 0 MirTarget -0.11 0.0009 NA
16 hsa-miR-370-3p MKNK2 0.89 3.0E-5 -0.82 0 MirTarget -0.11 0.00299 NA
17 hsa-miR-370-3p N4BP2L1 0.89 3.0E-5 -0.64 3.0E-5 MirTarget -0.16 0.00033 NA
18 hsa-miR-370-3p NFASC 0.89 3.0E-5 -1.21 0.00059 MirTarget -0.26 0.01145 NA
19 hsa-miR-370-3p PCDH10 0.89 3.0E-5 -1.64 0.0078 MirTarget -0.45 0.0113 NA
20 hsa-miR-370-3p PRDM16 0.89 3.0E-5 -0.8 0.01144 MirTarget -0.22 0.01298 NA
21 hsa-miR-370-3p PRKACB 0.89 3.0E-5 -0.79 8.0E-5 MirTarget -0.16 0.00433 NA
22 hsa-miR-370-3p RAVER2 0.89 3.0E-5 -0.5 0.0004 MirTarget -0.17 4.0E-5 NA
23 hsa-miR-370-3p SEC14L5 0.89 3.0E-5 -2.01 0 MirTarget -0.35 0.00225 NA
24 hsa-miR-370-3p SERTAD4 0.89 3.0E-5 -0.86 0.00852 MirTarget -0.25 0.00683 NA
25 hsa-miR-370-3p SLC16A12 0.89 3.0E-5 -1.26 0.0001 MirTarget -0.33 0.00034 NA
26 hsa-miR-370-3p SSBP2 0.89 3.0E-5 -1.58 0 MirTarget -0.27 6.0E-5 NA
27 hsa-miR-370-3p TMEM47 0.89 3.0E-5 -0.86 0.00028 MirTarget -0.15 0.03157 NA
28 hsa-miR-370-3p TPO 0.89 3.0E-5 -1.87 2.0E-5 MirTarget -0.26 0.03997 NA
29 hsa-miR-370-3p XKR4 0.89 3.0E-5 -3.26 0 MirTarget -0.45 0.00272 NA
30 hsa-miR-370-3p ZMYND11 0.89 3.0E-5 -0.2 0.05449 MirTarget -0.13 0 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 MAPK_signaling_pathway_hsa04010 4 295 0.0009393 0.04884
2 Autophagy_animal_hsa04140 2 128 0.01573 0.4089

Quest ID: 2d65eb63252e4a7a3c7286566cbeaf46