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-142-5p DTL -1.45 0 3.44 0 mirMAP -0.2 0.00206 NA
2 hsa-miR-215-5p DTL -0.98 3.0E-5 3.44 0 miRNAWalker2 validate -0.12 0.03069 21752725; 20433742 miR-215 is a tumor suppressor candidate due to the upregulation of p53 and p21 by targeting DTL; However high levels of miR-215 conferred chemoresistance due to cell cycle arrest and reduced cell proliferation by suppressing DTL; DTL was significantly over-expressed and was inversely correlated with miR-215 further suggesting an in vivo physiologic relevance of miR-215 mediated DTL suppression; Furthermore an elevated expression of a miR-215 target protein DTL was detected in colon cancer tissues whereas no expression was present in normal tissues;Taken together our results indicate that miR-215 through the suppression of DTL expression induces a decreased cell proliferation by causing G2-arrest thereby leading to an increase in chemoresistance to MTX and TDX
3 hsa-miR-26b-5p DTL -1.11 0 3.44 0 miRNAWalker2 validate -0.77 0 NA
4 hsa-miR-30a-3p DTL -1.53 0 3.44 0 MirTarget -0.53 0 22287560 MiR 30a 5p suppresses tumor growth in colon carcinoma by targeting DTL
5 hsa-miR-30a-5p DTL -0.63 0.00011 3.44 0 miRNAWalker2 validate; miRTarBase -0.45 0 22287560 MiR 30a 5p suppresses tumor growth in colon carcinoma by targeting DTL; Subsequent reporter gene assays confirmed the predicted miR-30a-5p binding site in the 3'untranslated region of DTL; In conclusion our data identified miR-30a-5p as a tumor-suppressing miRNA in colon cancer cells exerting its function via modulation of DTL expression which is frequently overexpressed in colorectal cancer
6 hsa-miR-30e-3p DTL -1.21 0 3.44 0 MirTarget -0.62 0 NA
7 hsa-miR-376c-3p DTL -1.79 0 3.44 0 MirTarget -0.14 0.00218 NA
8 hsa-miR-582-5p DTL -0.68 0.00104 3.44 0 PITA -0.14 0.03442 NA
NumGOOverlapSizeP ValueAdj. P Value
1 PROTEIN UBIQUITINATION 7 629 2.033e-08 9.459e-05
2 PROTEIN MODIFICATION BY SMALL PROTEIN CONJUGATION OR REMOVAL 7 873 1.927e-07 0.0004482
3 PROTEIN K11 LINKED UBIQUITINATION 3 27 4.788e-07 0.0007426
4 PROTEIN K48 LINKED UBIQUITINATION 3 47 2.636e-06 0.003067
5 PROTEIN MONOUBIQUITINATION 3 51 3.381e-06 0.003147
6 PROTEIN POLYUBIQUITINATION 4 243 9.748e-06 0.00756
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 CUL4 RING E3 UBIQUITIN LIGASE COMPLEX 3 25 3.767e-07 0.00022
2 CULLIN RING UBIQUITIN LIGASE COMPLEX 4 150 1.436e-06 0.0004193
3 UBIQUITIN LIGASE COMPLEX 4 262 1.312e-05 0.002553

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 p53_signaling_pathway_hsa04115 2 68 0.0007354 0.03824
2 FoxO_signaling_pathway_hsa04068 2 132 0.002732 0.05177
3 mTOR_signaling_pathway_hsa04150 2 151 0.003556 0.05177
4 Cellular_senescence_hsa04218 2 160 0.003982 0.05177
5 MAPK_signaling_pathway_hsa04010 2 295 0.01298 0.135

Quest ID: c1515b9b7ed8e440d368166aaeef0f75