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show label of nodes with degree >=

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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-139-5p KPNA2 -1.53 0 1.67 0 miRanda -0.14 0.00067 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 RNA POLYMERASE II TRANSCRIPTION FACTOR BINDING 6 104 2.574e-06 0.001385
2 MACROMOLECULAR COMPLEX BINDING 18 1399 2.982e-06 0.001385
3 KINASE BINDING 11 606 1.523e-05 0.004715
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa00071_Fatty_acid_metabolism 5 43 5.579e-07 0.0001004
2 hsa00350_Tyrosine_metabolism 3 41 0.0004873 0.04386
3 hsa04530_Tight_junction 4 133 0.001577 0.05219
4 hsa00830_Retinol_metabolism 3 64 0.001791 0.05219
5 hsa00010_Glycolysis_._Gluconeogenesis 3 65 0.001872 0.05219
6 hsa00980_Metabolism_of_xenobiotics_by_cytochrome_P450 3 71 0.002411 0.05219
7 hsa03013_RNA_transport 4 152 0.002565 0.05219
8 hsa00982_Drug_metabolism_._cytochrome_P450 3 73 0.002609 0.05219
9 hsa04520_Adherens_junction 3 73 0.002609 0.05219
10 hsa00280_Valine._leucine_and_isoleucine_degradation 2 44 0.01186 0.2134
11 hsa04310_Wnt_signaling_pathway 3 151 0.01918 0.3028
12 hsa04390_Hippo_signaling_pathway 3 154 0.02019 0.3028
13 hsa03015_mRNA_surveillance_pathway 2 83 0.03885 0.5251
14 hsa04144_Endocytosis 3 203 0.04084 0.5251
15 hsa04666_Fc_gamma_R.mediated_phagocytosis 2 95 0.04953 0.5944
16 hsa04912_GnRH_signaling_pathway 2 101 0.05523 0.6214
17 hsa04270_Vascular_smooth_muscle_contraction 2 116 0.07041 0.7041
18 hsa04722_Neurotrophin_signaling_pathway 2 127 0.0823 0.7507
19 hsa04110_Cell_cycle 2 128 0.08341 0.7507
20 hsa04510_Focal_adhesion 2 200 0.1727 1
21 hsa04151_PI3K_AKT_signaling_pathway 2 351 0.3801 1

Quest ID: cf30b74ca223f87b0c71c381a8447e8c