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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-125b-5p MUC1 -1.94 0 2.6 0 miRNAWalker2 validate -0.23 0.00041 NA
2 hsa-miR-145-5p MUC1 -2.63 0 2.6 0 miRNAWalker2 validate; miRTarBase -0.38 0 24157791 MiR 145 is downregulated in human ovarian cancer and modulates cell growth and invasion by targeting p70S6K1 and MUC1; MiR-145 is found to negatively regulate P70S6K1 and MUC1 protein levels by directly targeting their 3'UTRs; Importantly the overexpression of p70S6K1 and MUC1 can restore the cell colony formation and invasion abilities that are reduced by miR-145 respectively; Our study suggests that miR-145 modulates ovarian cancer growth and invasion by suppressing p70S6K1 and MUC1 functioning as a tumor suppressor
3 hsa-miR-326 MUC1 -1.54 0 2.6 0 miRanda -0.33 0 NA
4 hsa-miR-335-5p MUC1 -2.61 0 2.6 0 miRNAWalker2 validate -0.33 0 NA
NumGOOverlapSizeP ValueAdj. P Value
1 O GLYCAN PROCESSING 8 58 3.708e-16 1.725e-12
2 GLYCOSYLATION 10 267 2.496e-14 5.807e-11
3 PROTEIN O LINKED GLYCOSYLATION 8 101 3.82e-14 5.926e-11
4 GLYCOPROTEIN METABOLIC PROCESS 10 353 4.082e-13 4.749e-10
5 CARBOHYDRATE METABOLIC PROCESS 11 662 6.164e-12 5.736e-09
6 CARBOHYDRATE DERIVATIVE BIOSYNTHETIC PROCESS 10 595 7.119e-11 5.521e-08
7 CARBOHYDRATE DERIVATIVE METABOLIC PROCESS 11 1047 8.348e-10 5.549e-07
8 KERATAN SULFATE BIOSYNTHETIC PROCESS 4 28 1.466e-08 8.525e-06
9 KERATAN SULFATE METABOLIC PROCESS 4 33 2.92e-08 1.51e-05
10 GLYCOLIPID BIOSYNTHETIC PROCESS 4 62 3.907e-07 0.0001818
11 GANGLIOSIDE BIOSYNTHETIC PROCESS 3 18 6.911e-07 0.0002924
12 SIALYLATION 3 21 1.124e-06 0.000436
13 GLYCOSPHINGOLIPID BIOSYNTHETIC PROCESS 3 25 1.939e-06 0.0006942
14 GANGLIOSIDE METABOLIC PROCESS 3 26 2.191e-06 0.0007282
15 AMINOGLYCAN BIOSYNTHETIC PROCESS 4 107 3.512e-06 0.00106
16 MUCOPOLYSACCHARIDE METABOLIC PROCESS 4 108 3.645e-06 0.00106
17 RESPONSE TO AMINO ACID 4 112 4.213e-06 0.001107
18 LIPOSACCHARIDE METABOLIC PROCESS 4 114 4.521e-06 0.001107
19 MEMBRANE LIPID BIOSYNTHETIC PROCESS 4 114 4.521e-06 0.001107
20 PEPTIDYL ASPARAGINE MODIFICATION 3 39 7.638e-06 0.001777
21 CERAMIDE BIOSYNTHETIC PROCESS 3 43 1.029e-05 0.002279
22 RESPONSE TO ACID CHEMICAL 5 319 1.274e-05 0.002695
23 AMINOGLYCAN METABOLIC PROCESS 4 166 1.999e-05 0.004044
24 LEUKOCYTE HOMEOSTASIS 3 60 2.822e-05 0.005471
25 MEMBRANE LIPID METABOLIC PROCESS 4 184 2.994e-05 0.005572
26 OLIGOSACCHARIDE METABOLIC PROCESS 3 65 3.59e-05 0.006425
27 SULFUR COMPOUND BIOSYNTHETIC PROCESS 4 203 4.395e-05 0.007304
28 GLYCOSPHINGOLIPID METABOLIC PROCESS 3 69 4.296e-05 0.007304
29 CERAMIDE METABOLIC PROCESS 3 73 5.086e-05 0.008161
30 PROTEIN N LINKED GLYCOSYLATION 3 75 5.515e-05 0.008554
31 SPHINGOLIPID BIOSYNTHETIC PROCESS 3 77 5.967e-05 0.008956
NumGOOverlapSizeP ValueAdj. P Value
1 TRANSFERASE ACTIVITY TRANSFERRING GLYCOSYL GROUPS 9 282 2.844e-12 2.642e-09
2 TRANSFERASE ACTIVITY TRANSFERRING HEXOSYL GROUPS 6 203 3.496e-08 1.083e-05
3 GALACTOSYLTRANSFERASE ACTIVITY 4 33 2.92e-08 1.083e-05
4 UDP GLYCOSYLTRANSFERASE ACTIVITY 5 139 2.151e-07 4.995e-05
5 SIALYLTRANSFERASE ACTIVITY 3 21 1.124e-06 0.0002089
6 UDP GALACTOSYLTRANSFERASE ACTIVITY 3 28 2.757e-06 0.0004269
NumGOOverlapSizeP ValueAdj. P Value
1 GOLGI APPARATUS 13 1445 6.659e-11 3.889e-08
2 GOLGI APPARATUS PART 11 893 1.536e-10 4.485e-08
3 GOLGI MEMBRANE 10 703 3.631e-10 7.068e-08
4 GOLGI CISTERNA MEMBRANE 4 74 7.998e-07 0.0001168
5 GOLGI CISTERNA 4 93 2.005e-06 0.0002342
6 GOLGI STACK 4 125 6.52e-06 0.0006346

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 FoxO_signaling_pathway_hsa04068 3 132 0.0002951 0.009315
2 PI3K_Akt_signaling_pathway_hsa04151 4 352 0.0003656 0.009315
3 Jak_STAT_signaling_pathway_hsa04630 3 162 0.0005374 0.009315
4 Focal_adhesion_hsa04510 3 199 0.0009763 0.01269
5 Ras_signaling_pathway_hsa04014 3 232 0.001518 0.01579
6 Adherens_junction_hsa04520 2 72 0.002329 0.01738
7 Cytokine_cytokine_receptor_interaction_hsa04060 3 270 0.00234 0.01738
8 MAPK_signaling_pathway_hsa04010 3 295 0.003007 0.01796
9 ErbB_signaling_pathway_hsa04012 2 85 0.003227 0.01796
10 Gap_junction_hsa04540 2 88 0.003454 0.01796
11 HIF_1_signaling_pathway_hsa04066 2 100 0.004435 0.02096
12 Phospholipase_D_signaling_pathway_hsa04072 2 146 0.009226 0.03998
13 Rap1_signaling_pathway_hsa04015 2 206 0.01776 0.06716
14 Regulation_of_actin_cytoskeleton_hsa04810 2 208 0.01808 0.06716

Quest ID: 32069e7c090efa10e25cf92ef55ef4cc