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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-223-3p ADCY1 -0.22 0.70846 -0.14 0.72935 mirMAP -0.14 0.02266 NA
2 hsa-miR-223-3p CBX5 -0.22 0.70846 0.13 0.84108 MirTarget -0.1 0.00017 NA
3 hsa-miR-223-3p CCKBR -0.22 0.70846 -0.11 0.86139 MirTarget -0.23 0.03136 NA
4 hsa-miR-223-3p DENND5B -0.22 0.70846 -0.08 0.82492 MirTarget -0.1 0.00661 NA
5 hsa-miR-223-3p IGF1R -0.22 0.70846 0.18 0.77996 miRNAWalker2 validate; miRTarBase; MirTarget -0.16 0.00038 NA
6 hsa-miR-223-3p KBTBD6 -0.22 0.70846 0.15 0.68383 MirTarget -0.15 0 NA
7 hsa-miR-223-3p KLF12 -0.22 0.70846 -0.11 0.79612 mirMAP -0.11 0.00249 NA
8 hsa-miR-223-3p KSR2 -0.22 0.70846 0.01 0.96909 mirMAP -0.13 0.01137 NA
9 hsa-miR-223-3p MAPK4 -0.22 0.70846 0.4 0.48173 mirMAP -0.28 0.00228 NA
10 hsa-miR-223-3p PTPRT -0.22 0.70846 1.26 0.13179 mirMAP -0.31 0.02654 NA
11 hsa-miR-223-3p RAB11FIP4 -0.22 0.70846 -0.22 0.71086 mirMAP -0.12 0.01645 NA
12 hsa-miR-223-3p SDK2 -0.22 0.70846 0.17 0.76567 mirMAP -0.24 0.00512 NA
13 hsa-miR-223-3p SMARCD1 -0.22 0.70846 0 0.99372 miRNAWalker2 validate; MirTarget -0.12 0 NA
14 hsa-miR-223-3p STMN1 -0.22 0.70846 -0.09 0.89042 miRNAWalker2 validate; miRTarBase -0.12 0.00062 27577078; 18555017; 22470493 miR 223 increases gallbladder cancer cell sensitivity to docetaxel by downregulating STMN1; We determined that STMN1 was negatively correlated with and regulated by miR-223 in GBC miR-223 increased GBC sensitivity to docetaxel in vitro and in vivo and the induced sensitivity to docetaxel was suppressed by the restoration of STMN1 expression; These findings indicated that miR-223 might serve as an onco-suppressor that enhances susceptibility to docetaxel by downregulating STMN1 in GBC highlighting its promising therapeutic value;A strong inverse relationship between STMN1 mRNA and miR-223 expressions was shown P = .006; A substantial reduction in STMN1 protein was further demonstrated upon restoration of miR-223 expression in HCC cell lines; We further showed that miR-223 readily could suppress the luciferase activity in reporter construct containing the STMN1 3' untranslated region P = .02;We also explored the regulation of STMN1 expression by microRNA-223; We finally confirmed that STMN1 is a putative downstream target of miR-223 in gastric cancer
15 hsa-miR-223-3p ZNF286A -0.22 0.70846 0.08 0.82863 mirMAP -0.12 2.0E-5 NA
16 hsa-miR-223-3p ZNF286B -0.22 0.70846 0.19 0.46963 mirMAP -0.13 0.00252 NA
17 hsa-miR-223-3p ZNF772 -0.22 0.70846 -0.19 0.64167 MirTarget -0.1 0.00913 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Oocyte_meiosis_hsa04114 2 124 0.004879 0.1858
2 Calcium_signaling_pathway_hsa04020 2 182 0.01024 0.1858
3 Rap1_signaling_pathway_hsa04015 2 206 0.01297 0.1858
4 Ras_signaling_pathway_hsa04014 2 232 0.01625 0.1858
5 Endocytosis_hsa04144 2 244 0.01787 0.1858
6 MAPK_signaling_pathway_hsa04010 2 295 0.02548 0.2209

Quest ID: c55618be5948e1b979ee1e60cf4e84f9