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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-126-5p TET1 -0.43 7.0E-5 1.02 1.0E-5 mirMAP -0.41 7.0E-5 NA
2 hsa-miR-29a-3p TET1 -0.86 0 1.02 1.0E-5 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.97 0 25367851; 25616722; 27555295 Negative feedback of miR 29 family TET1 involves in hepatocellular cancer; MiR-29b was proved to inhibit metastasis through the targeting of TET1 indicating that downregulation of miR-29 may involve in HCC carcinogenesis and progression through potentiation of TET1 expression;Erratum to: Negative feedback of miR 29 family TET1 involves in hepatocellular cancer; miR-29b was proved to inhibit metastasis through the targeting of TET1 indicating that downregulation of miR-29 may involve in HCC carcinogenesis and progression through potentiation of TET1 expression;Furthermore data from bioinformatic analysis validated by dual-luciferase reporter gene assay showed that ten eleven translocation 1 TET1 was a direct target of miR-29a and over-expression of TET1 inhibited cell proliferation and migration which could be induced by the up-regulation of miR-29a; MiR-29a targets TET1 down regulates its expression and thus promotes EMT in breast cancer; Altogether we demonstrate that miR-29a acts as a tumor activator by targeting TET1 and induces cell proliferation and EMT in breast cancer
3 hsa-miR-29b-3p TET1 -0.35 0.01214 1.02 1.0E-5 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.71 0 25367851; 25616722 Negative feedback of miR 29 family TET1 involves in hepatocellular cancer; MiR-29b was proved to inhibit metastasis through the targeting of TET1 indicating that downregulation of miR-29 may involve in HCC carcinogenesis and progression through potentiation of TET1 expression;Erratum to: Negative feedback of miR 29 family TET1 involves in hepatocellular cancer; miR-29b was proved to inhibit metastasis through the targeting of TET1 indicating that downregulation of miR-29 may involve in HCC carcinogenesis and progression through potentiation of TET1 expression
4 hsa-miR-29c-3p TET1 -1.44 0 1.02 1.0E-5 MirTarget; miRNATAP -0.76 0 NA
5 hsa-miR-30a-3p TET1 -1.53 0 1.02 1.0E-5 MirTarget -0.24 4.0E-5 NA
6 hsa-miR-30d-3p TET1 -0.12 0.32955 1.02 1.0E-5 MirTarget -0.31 0.00061 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa04115_p53_signaling_pathway 2 69 0.001543 0.2777
2 hsa04110_Cell_cycle 2 128 0.00519 0.4671
3 hsa04010_MAPK_signaling_pathway 2 268 0.02131 0.6482

Quest ID: 284371c3ebb68ac66e64aa391d315b43