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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-9-5p ACADSB 1.26 9.0E-5 -2.11 0 miRNAWalker2 validate -0.16 0 NA
2 hsa-miR-9-5p ANO1 1.26 9.0E-5 -2.23 0 MirTarget; miRNATAP -0.19 0.00016 NA
3 hsa-miR-9-5p AR 1.26 9.0E-5 -2.66 0 miRNATAP -0.21 0.00072 NA
4 hsa-miR-9-5p BMPER 1.26 9.0E-5 -6.23 0 miRNATAP -0.19 0.00341 NA
5 hsa-miR-9-5p CBLN4 1.26 9.0E-5 -1.67 0.00015 miRNATAP -0.22 0.00113 NA
6 hsa-miR-9-5p CCND1 1.26 9.0E-5 -0.9 1.0E-5 miRNAWalker2 validate -0.14 1.0E-5 NA
7 hsa-miR-9-5p CDC14B 1.26 9.0E-5 -1.19 0 MirTarget -0.11 5.0E-5 NA
8 hsa-miR-9-5p CHST9 1.26 9.0E-5 -2.33 0 miRNATAP -0.15 0.03281 NA
9 hsa-miR-9-5p CLDN14 1.26 9.0E-5 -0.82 0.00105 MirTarget -0.16 3.0E-5 NA
10 hsa-miR-9-5p CLYBL 1.26 9.0E-5 -1.25 0 mirMAP -0.13 0 NA
11 hsa-miR-9-5p COL18A1 1.26 9.0E-5 -0.88 0 miRNATAP -0.12 0 NA
12 hsa-miR-9-5p CPEB3 1.26 9.0E-5 -2.74 0 MirTarget; miRNATAP -0.19 0 NA
13 hsa-miR-9-5p CYP39A1 1.26 9.0E-5 -4.33 0 miRNAWalker2 validate -0.3 2.0E-5 NA
14 hsa-miR-9-5p ESR1 1.26 9.0E-5 -4.12 0 mirMAP; miRNATAP -0.3 0 22723919 Higher expression of miR-9 was significantly associated with breast cancer LR in all cases as well as the subset of estrogen receptor ER positive cases p = 0.02
15 hsa-miR-9-5p F2 1.26 9.0E-5 -1.49 0 miRNAWalker2 validate -0.12 0.00663 NA
16 hsa-miR-9-5p FLRT3 1.26 9.0E-5 -1.64 0 MirTarget; miRNATAP -0.16 8.0E-5 NA
17 hsa-miR-9-5p FOXO1 1.26 9.0E-5 -1.85 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.16 0 24870723; 25017439 Phosphorylation of Akt and forkhead box protein O1 FOXO1 was measured in cells with miR-9 overexpression or curcumin treatment; Western blot analysis showed that both miR-9 overexpression and curcumin similarly caused a significant p<0.05 decline in the phosphorylation of Akt and FOXO1 compared to untreated cells;In this study we explored whether FOXO1 3'UTR can function as a ceRNA in repressing epithelial-to-mesenchymal transition EMT and metastasis of breast cancer cells via regulating miR-9 activity; Follow-up analyses showed that there existed a competition of miR-9 between FOXO1 and E-cadherin-3'UTR
18 hsa-miR-9-5p FOXP2 1.26 9.0E-5 -3.25 0 MirTarget -0.19 0.00331 NA
19 hsa-miR-9-5p GFRA1 1.26 9.0E-5 -2.55 0 mirMAP -0.28 7.0E-5 NA
20 hsa-miR-9-5p GNAO1 1.26 9.0E-5 -3.67 0 mirMAP -0.14 0.02412 NA
21 hsa-miR-9-5p GOT1 1.26 9.0E-5 -1.38 0 MirTarget; miRNATAP -0.13 1.0E-5 NA
22 hsa-miR-9-5p GPAM 1.26 9.0E-5 -0.47 0.0638 miRNATAP -0.21 0 NA
23 hsa-miR-9-5p GREB1 1.26 9.0E-5 0.43 0.16751 MirTarget; miRNATAP -0.1 0.03338 NA
24 hsa-miR-9-5p HS3ST3B1 1.26 9.0E-5 -2.61 0 mirMAP -0.2 3.0E-5 NA
25 hsa-miR-9-5p IGF2 1.26 9.0E-5 -3.69 0 mirMAP -0.45 0 NA
26 hsa-miR-9-5p INSIG1 1.26 9.0E-5 -0.98 0.00012 MirTarget; miRNATAP -0.11 0.00362 NA
27 hsa-miR-9-5p IYD 1.26 9.0E-5 -2.66 0 mirMAP -0.18 0.00095 NA
28 hsa-miR-9-5p KLF12 1.26 9.0E-5 -0.86 0 mirMAP -0.11 0 NA
29 hsa-miR-9-5p KLHDC7A 1.26 9.0E-5 -0.99 0.0002 MirTarget -0.12 0.00215 NA
30 hsa-miR-9-5p MYLK 1.26 9.0E-5 -1.14 0 miRNAWalker2 validate -0.1 0.00011 NA
31 hsa-miR-9-5p NFIA 1.26 9.0E-5 -0.92 0 mirMAP; miRNATAP -0.11 0 NA
32 hsa-miR-9-5p OGDHL 1.26 9.0E-5 -2.53 0 MirTarget -0.15 0.00839 NA
33 hsa-miR-9-5p PALM2 1.26 9.0E-5 -2.08 0 mirMAP -0.11 0.00199 NA
34 hsa-miR-9-5p PALMD 1.26 9.0E-5 -0.6 0.00198 MirTarget; miRNATAP -0.15 0 NA
35 hsa-miR-9-5p PCSK6 1.26 9.0E-5 -1.19 0 MirTarget; miRNATAP -0.13 3.0E-5 NA
36 hsa-miR-9-5p PDE7B 1.26 9.0E-5 -2.16 0 miRNATAP -0.14 2.0E-5 NA
37 hsa-miR-9-5p PDK4 1.26 9.0E-5 -2.11 0 MirTarget; miRNATAP -0.15 0.00032 NA
38 hsa-miR-9-5p PITPNM3 1.26 9.0E-5 -3.87 0 mirMAP; miRNATAP -0.14 0.00296 NA
39 hsa-miR-9-5p PTCH1 1.26 9.0E-5 -0.78 8.0E-5 miRNATAP -0.1 0.0005 25595896 Computational studies real-time PCR reporter gene studies western blots target protector oligos and ectopic expression identified miR-9 as the target of PTCH1 in resistant GBM cells with concomitant activation of SHH signaling; Taken together miR-9 targets PTCH1 in GBM cells by a SHH-independent method in GBM cells for TMZ resistance
40 hsa-miR-9-5p RASGEF1B 1.26 9.0E-5 -2.4 0 mirMAP -0.11 0.00252 NA
41 hsa-miR-9-5p RNF165 1.26 9.0E-5 -3.06 0 mirMAP -0.15 0.00276 NA
42 hsa-miR-9-5p RORA 1.26 9.0E-5 -1.19 0 mirMAP; miRNATAP -0.12 0 NA
43 hsa-miR-9-5p RTN4RL1 1.26 9.0E-5 0.06 0.81318 MirTarget -0.13 0.00161 NA
44 hsa-miR-9-5p RUNDC3B 1.26 9.0E-5 -1.77 0 miRNATAP -0.19 0 NA
45 hsa-miR-9-5p SH3BGRL2 1.26 9.0E-5 -0.97 0 miRNATAP -0.11 0 NA
46 hsa-miR-9-5p SH3BP4 1.26 9.0E-5 -0.17 0.23449 miRNATAP -0.11 0 NA
47 hsa-miR-9-5p SIK1 1.26 9.0E-5 -1.56 0 miRNATAP -0.11 0.00066 NA
48 hsa-miR-9-5p SLC16A2 1.26 9.0E-5 -1.72 0 miRNATAP -0.16 1.0E-5 NA
49 hsa-miR-9-5p SLC1A1 1.26 9.0E-5 -2.49 0 miRNATAP -0.12 0.04073 NA
50 hsa-miR-9-5p SLC1A2 1.26 9.0E-5 -2.05 1.0E-5 mirMAP -0.19 0.00488 NA
51 hsa-miR-9-5p SLC20A2 1.26 9.0E-5 -0.68 0 miRNATAP -0.12 0 NA
52 hsa-miR-9-5p SLC22A3 1.26 9.0E-5 -1.99 0 miRNAWalker2 validate -0.17 9.0E-5 NA
53 hsa-miR-9-5p SLC25A30 1.26 9.0E-5 -0.36 0.03319 miRNAWalker2 validate -0.11 2.0E-5 NA
54 hsa-miR-9-5p SMOC1 1.26 9.0E-5 -1.11 0 mirMAP -0.12 3.0E-5 NA
55 hsa-miR-9-5p SNED1 1.26 9.0E-5 -0.7 1.0E-5 mirMAP -0.13 0 NA
56 hsa-miR-9-5p STEAP3 1.26 9.0E-5 -2.25 0 MirTarget -0.13 0.00033 NA
57 hsa-miR-9-5p TSPAN9 1.26 9.0E-5 -0.77 0 miRNATAP -0.11 0 NA
NumGOOverlapSizeP ValueAdj. P Value
1 RESPONSE TO ENDOGENOUS STIMULUS 16 1450 1.801e-06 0.00838
NumGOOverlapSizeP ValueAdj. P Value
1 TRANSCRIPTION COACTIVATOR BINDING 3 11 3.563e-06 0.00331
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Hedgehog_signaling_pathway_hsa04340 2 47 0.007946 0.4132
2 p53_signaling_pathway_hsa04115 2 68 0.01612 0.4191
3 AMPK_signaling_pathway_hsa04152 2 121 0.04669 0.4325
4 Cell_cycle_hsa04110 2 124 0.04878 0.4325
5 Oocyte_meiosis_hsa04114 2 124 0.04878 0.4325
6 FoxO_signaling_pathway_hsa04068 2 132 0.05452 0.4325
7 Apelin_signaling_pathway_hsa04371 2 137 0.05822 0.4325
8 Cellular_senescence_hsa04218 2 160 0.0763 0.4891
9 Tight_junction_hsa04530 2 170 0.08466 0.4891
10 Focal_adhesion_hsa04510 2 199 0.1103 0.5141
11 Regulation_of_actin_cytoskeleton_hsa04810 2 208 0.1186 0.5141
12 PI3K_Akt_signaling_pathway_hsa04151 2 352 0.2654 1

Quest ID: e6529774844366dfdece32b8aa5ca8a4