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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-30a-3p AGMAT -2.08 0 2.14 0 MirTarget -0.13 0.016 NA
2 hsa-miR-30a-3p AMACR -2.08 0 0.6 0.05378 MirTarget -0.12 0.0208 NA
3 hsa-miR-30a-3p BCL11B -2.08 0 0.59 0.18314 MirTarget; mirMAP -0.17 0.02258 NA
4 hsa-miR-30a-3p BRI3BP -2.08 0 1.99 0 mirMAP -0.14 7.0E-5 NA
5 hsa-miR-30a-3p CASP2 -2.08 0 1.25 0 MirTarget -0.11 0 NA
6 hsa-miR-30a-3p CCNT2 -2.08 0 0.05 0.80346 MirTarget -0.11 0.00197 NA
7 hsa-miR-30a-3p CDS1 -2.08 0 1.52 0 miRNATAP -0.1 0.04008 NA
8 hsa-miR-30a-3p CENPL -2.08 0 1.42 0 MirTarget -0.11 0.00056 NA
9 hsa-miR-30a-3p CEP152 -2.08 0 1.12 0 MirTarget -0.13 8.0E-5 NA
10 hsa-miR-30a-3p CLDN18 -2.08 0 0.31 0.57217 mirMAP -0.2 0.03699 NA
11 hsa-miR-30a-3p DARS2 -2.08 0 1.24 0 MirTarget -0.11 0.00064 NA
12 hsa-miR-30a-3p DCAF4L1 -2.08 0 1.07 0.00091 mirMAP -0.2 0.00038 NA
13 hsa-miR-30a-3p DEPDC1 -2.08 0 3.17 0 mirMAP -0.22 0.00012 NA
14 hsa-miR-30a-3p DTD1 -2.08 0 0.78 0 miRNATAP -0.12 4.0E-5 NA
15 hsa-miR-30a-3p DTL -2.08 0 2.88 0 MirTarget -0.18 0.00037 22287560 MiR 30a 5p suppresses tumor growth in colon carcinoma by targeting DTL
16 hsa-miR-30a-3p DVL3 -2.08 0 0.41 0.00027 MirTarget -0.11 0 NA
17 hsa-miR-30a-3p ERC2 -2.08 0 -0.08 0.86617 mirMAP -0.19 0.02608 NA
18 hsa-miR-30a-3p FAM110C -2.08 0 1.09 0.02682 mirMAP -0.23 0.007 NA
19 hsa-miR-30a-3p FAM111B -2.08 0 2.94 0 mirMAP -0.18 0.00268 NA
20 hsa-miR-30a-3p FLVCR1 -2.08 0 1.04 1.0E-5 miRNATAP -0.1 0.0113 NA
21 hsa-miR-30a-3p FNBP1L -2.08 0 0.51 0.02018 mirMAP -0.11 0.00414 NA
22 hsa-miR-30a-3p FZD3 -2.08 0 -0.31 0.22562 mirMAP -0.11 0.01579 NA
23 hsa-miR-30a-3p HAP1 -2.08 0 1.36 0.00652 mirMAP -0.31 0.00023 NA
24 hsa-miR-30a-3p HELLS -2.08 0 2.27 0 mirMAP -0.13 0.00254 NA
25 hsa-miR-30a-3p HOOK1 -2.08 0 2.47 0 MirTarget -0.22 0.00051 NA
26 hsa-miR-30a-3p HOXB6 -2.08 0 1.88 1.0E-5 mirMAP -0.19 0.00975 NA
27 hsa-miR-30a-3p KIAA1324L -2.08 0 0.1 0.69263 MirTarget; miRNATAP -0.12 0.00509 NA
28 hsa-miR-30a-3p KREMEN1 -2.08 0 0.32 0.21997 mirMAP -0.14 0.00144 NA
29 hsa-miR-30a-3p KRT6C -2.08 0 2.74 0.01904 MirTarget -0.41 0.04063 NA
30 hsa-miR-30a-3p LANCL3 -2.08 0 0.08 0.85028 mirMAP -0.18 0.00703 NA
31 hsa-miR-30a-3p LIN9 -2.08 0 1.3 0 MirTarget -0.14 1.0E-5 NA
32 hsa-miR-30a-3p LMNB1 -2.08 0 2.08 0 miRNATAP -0.11 0.0062 NA
33 hsa-miR-30a-3p LRP8 -2.08 0 1.9 0 MirTarget -0.21 0.0002 NA
34 hsa-miR-30a-3p MURC -2.08 0 1.01 0.00021 MirTarget -0.14 0.00193 NA
35 hsa-miR-30a-3p NUP62CL -2.08 0 1.84 0 MirTarget -0.19 0.00503 NA
36 hsa-miR-30a-3p ODF2L -2.08 0 0.93 0 mirMAP -0.13 1.0E-5 NA
37 hsa-miR-30a-3p ONECUT2 -2.08 0 2.29 0.00067 mirMAP -0.24 0.03962 NA
38 hsa-miR-30a-3p OTUB2 -2.08 0 1.32 0 mirMAP -0.14 0.00165 NA
39 hsa-miR-30a-3p PDK1 -2.08 0 0.44 0.02975 MirTarget -0.13 0.00015 NA
40 hsa-miR-30a-3p PLA2G6 -2.08 0 0.22 0.39334 miRNATAP -0.11 0.01435 NA
41 hsa-miR-30a-3p RCOR2 -2.08 0 1.03 0.0118 MirTarget -0.29 3.0E-5 NA
42 hsa-miR-30a-3p SH2D3A -2.08 0 1.87 0 MirTarget -0.13 0.02891 NA
43 hsa-miR-30a-3p SIX4 -2.08 0 1.73 0 miRNATAP -0.14 0.00225 NA
44 hsa-miR-30a-3p SLCO1A2 -2.08 0 1.88 0.01876 mirMAP -0.38 0.00534 NA
45 hsa-miR-30a-3p SORD -2.08 0 0.59 0.01926 mirMAP -0.1 0.01562 NA
46 hsa-miR-30a-3p SOX4 -2.08 0 1.72 0 mirMAP -0.23 0 25572678 Association of SOX4 regulated by tumor suppressor miR 30a with poor prognosis in low grade chondrosarcoma; In an attempt of characterizing SOX4 overexpression mechanism we identified miR-30a as a tumor suppressor that directly targets SOX4 in chondrosarcoma cells; Clinically miR-30a expression was negatively correlated with SOX4 expression in chondrosarcoma cases; In all we identified that SOX4 was oncogenic in chondrosarcoma and negatively regulated by miR-30a in vitro
47 hsa-miR-30a-3p TANC2 -2.08 0 1.17 0 mirMAP -0.14 0.00048 NA
48 hsa-miR-30a-3p TRIM59 -2.08 0 1.14 0 mirMAP -0.14 2.0E-5 NA
49 hsa-miR-30a-3p UBN2 -2.08 0 0.26 0.1232 mirMAP -0.12 4.0E-5 NA
50 hsa-miR-30a-3p VAX2 -2.08 0 1.26 0.01467 miRNATAP -0.23 0.00888 NA
51 hsa-miR-30a-3p ZNF107 -2.08 0 1.16 0 MirTarget -0.14 0.00108 NA
52 hsa-miR-30a-3p ZNF138 -2.08 0 0.92 0 MirTarget -0.13 3.0E-5 NA
53 hsa-miR-30a-3p ZNF260 -2.08 0 0.6 0.00013 mirMAP -0.11 3.0E-5 NA
54 hsa-miR-30a-3p ZNF618 -2.08 0 0.59 0.03163 mirMAP -0.12 0.01061 NA
55 hsa-miR-30a-3p ZNF750 -2.08 0 1.03 0.06073 MirTarget -0.22 0.01765 NA
56 hsa-miR-30a-3p ZNF785 -2.08 0 0.23 0.20984 MirTarget -0.1 0.00064 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa04664_Fc_epsilon_RI_signaling_pathway 2 79 0.02067 1
2 hsa00564_Glycerophospholipid_metabolism 2 80 0.02116 1
3 hsa04916_Melanogenesis 2 101 0.03259 1
4 hsa04310_Wnt_signaling_pathway 2 151 0.06693 1
5 hsa04390_Hippo_signaling_pathway 2 154 0.06926 1

Quest ID: f9006921b26c32e0fba197fcf16d0a88