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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-146a-5p ABCC5 1.2 0.00157 0.08 0.78106 mirMAP -0.1 0.00536 NA
2 hsa-miR-146a-5p ABLIM1 1.2 0.00157 -1.72 0 mirMAP -0.12 0.00059 NA
3 hsa-miR-146a-5p AR 1.2 0.00157 -3.3 0 mirMAP -0.32 0.00017 25123132 To study the cellular response to miR-146a upregulation in p53-impaired basal-like lines antagomir KD of miR-146a was performed; KD of miR-146a caused decreased proliferation and increased apoptosis effectively ablating the effects of p53 loss
4 hsa-miR-146a-5p ARL10 1.2 0.00157 -1.12 0.00198 MirTarget -0.1 0.02424 NA
5 hsa-miR-146a-5p BMP3 1.2 0.00157 -0.54 0.56709 mirMAP -0.41 0.00064 NA
6 hsa-miR-146a-5p C1orf21 1.2 0.00157 -1.51 0 mirMAP -0.15 0 NA
7 hsa-miR-146a-5p CCK 1.2 0.00157 0.02 0.97809 MirTarget -0.18 0.03042 NA
8 hsa-miR-146a-5p DTNA 1.2 0.00157 -4.06 0 MirTarget -0.17 0.02132 NA
9 hsa-miR-146a-5p ERBB4 1.2 0.00157 -0.99 0.1413 miRNAWalker2 validate; miRTarBase; miRNATAP -0.27 0.00166 NA
10 hsa-miR-146a-5p FZD3 1.2 0.00157 -0.31 0.22562 MirTarget -0.16 0 NA
11 hsa-miR-146a-5p KCNB1 1.2 0.00157 -4.73 0 mirMAP -0.31 0 NA
12 hsa-miR-146a-5p KCTD15 1.2 0.00157 -1.07 0.00367 mirMAP -0.12 0.00834 NA
13 hsa-miR-146a-5p LONRF2 1.2 0.00157 -3.86 0 mirMAP -0.42 0 NA
14 hsa-miR-146a-5p MBNL3 1.2 0.00157 -1.4 8.0E-5 MirTarget -0.1 0.0257 NA
15 hsa-miR-146a-5p MTUS2 1.2 0.00157 -1.54 0.05084 miRNAWalker2 validate -0.33 0.00102 NA
16 hsa-miR-146a-5p NFASC 1.2 0.00157 -2.96 0 mirMAP -0.11 0.02562 23706078; 23027628; 18504431 Celastrol induces apoptosis of gastric cancer cells by miR 146a inhibition of NF κB activity;53BP1 functions as a tumor suppressor in breast cancer via the inhibition of NF κB through miR 146a;Expression of microRNA 146 suppresses NF kappaB activity with reduction of metastatic potential in breast cancer cells
17 hsa-miR-146a-5p OTUD3 1.2 0.00157 -0.05 0.80061 mirMAP -0.13 0 NA
18 hsa-miR-146a-5p PDE7B 1.2 0.00157 -2.37 0 mirMAP -0.23 0 NA
19 hsa-miR-146a-5p PLXNA2 1.2 0.00157 -0.88 0.00059 mirMAP -0.15 0 NA
20 hsa-miR-146a-5p POU2F1 1.2 0.00157 -0.09 0.73364 mirMAP -0.12 0.00036 NA
21 hsa-miR-146a-5p PPM1H 1.2 0.00157 0.62 0.16176 mirMAP -0.16 0.00399 NA
22 hsa-miR-146a-5p PRELP 1.2 0.00157 -4.33 0 mirMAP -0.16 0.02672 NA
23 hsa-miR-146a-5p PRKAA2 1.2 0.00157 -3.17 0 MirTarget -0.3 2.0E-5 NA
24 hsa-miR-146a-5p PRKCA 1.2 0.00157 -1.04 0.00033 mirMAP -0.13 0.00037 NA
25 hsa-miR-146a-5p RGS5 1.2 0.00157 -2.66 0 MirTarget -0.21 1.0E-5 NA
26 hsa-miR-146a-5p RHOBTB3 1.2 0.00157 -0.71 0.03323 MirTarget -0.1 0.01564 NA
27 hsa-miR-146a-5p RIMS2 1.2 0.00157 -2.03 0.00172 mirMAP -0.19 0.02414 NA
28 hsa-miR-146a-5p RND2 1.2 0.00157 -1.6 0.0001 mirMAP -0.15 0.0035 NA
29 hsa-miR-146a-5p SH3YL1 1.2 0.00157 0.43 0.11792 MirTarget -0.11 0.00217 NA
30 hsa-miR-146a-5p SHROOM4 1.2 0.00157 -0.92 0.0019 mirMAP -0.12 0.00108 NA
31 hsa-miR-146a-5p SLC25A27 1.2 0.00157 -1.15 0.0055 MirTarget -0.23 1.0E-5 NA
32 hsa-miR-146a-5p SORT1 1.2 0.00157 -0.44 0.04294 MirTarget -0.1 0.00019 NA
33 hsa-miR-146a-5p SSBP2 1.2 0.00157 -1.5 0 mirMAP -0.1 0.00342 NA
34 hsa-miR-146a-5p SYT2 1.2 0.00157 -0.39 0.24369 mirMAP -0.17 4.0E-5 NA
35 hsa-miR-146a-5p THRB 1.2 0.00157 -0.97 0.01155 MirTarget -0.28 0 21159845 Direct interaction with THRB was shown for miR-21 and miR-146a
36 hsa-miR-146a-5p TMEM132B 1.2 0.00157 -2.1 0 mirMAP -0.12 0.0322 NA
37 hsa-miR-146a-5p YPEL1 1.2 0.00157 -0.21 0.47798 mirMAP -0.12 0.00214 NA
38 hsa-miR-146a-5p ZNF10 1.2 0.00157 -0.59 0.01228 MirTarget -0.15 0 NA
39 hsa-miR-146a-5p ZNF652 1.2 0.00157 -0.14 0.29875 MirTarget -0.11 0 NA
40 hsa-miR-146a-5p ZNF704 1.2 0.00157 -1.33 0.00056 mirMAP -0.21 2.0E-5 NA
41 hsa-miR-146a-5p ZNF793 1.2 0.00157 -0.04 0.90368 mirMAP -0.14 0.00277 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 mTOR_signaling_pathway_hsa04150 3 151 0.003645 0.1895
2 ErbB_signaling_pathway_hsa04012 2 85 0.01315 0.3418
3 PI3K_Akt_signaling_pathway_hsa04151 3 352 0.03522 0.4686
4 Wnt_signaling_pathway_hsa04310 2 146 0.03605 0.4686
5 Calcium_signaling_pathway_hsa04020 2 182 0.05358 0.5572
6 MAPK_signaling_pathway_hsa04010 2 295 0.1223 0.6425

Quest ID: 5e46d9875e4663f9bf0cab9bcd227312