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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-195-5p BCL2L11 -1.07 0 0.41 0.00043 miRNAWalker2 validate -0.13 0.00018 NA
2 hsa-miR-195-5p CAND1 -1.07 0 0.4 0.00013 miRNAWalker2 validate -0.24 0 NA
3 hsa-miR-195-5p CCND1 -1.07 0 0.72 0.00026 miRNAWalker2 validate -0.27 1.0E-5 21350001; 26631043; 25823925 Raf-1 and Ccnd1 were identified as novel direct targets of miR-195 and miR-497 miR-195/497 expression levels in clinical specimens were found to be correlated inversely with malignancy of breast cancer;MiR 195 inhibits the proliferation of human cervical cancer cells by directly targeting cyclin D1; The present study was to evaluate the level of miR-195 and cyclin D1 in CC tissues and cells; We further investigated the molecular mechanisms of miR-195 and cyclin D1 in CC cell lines HeLa and SiHa; Furthermore the expression of miR-195 was inversely proportional to that of cyclin D1 mRNA or protein p = 0.013 p = 0.015 respectively; However the inhibitor of miR-195 promoted the expression of cyclin D1 and cell proliferation; In conclusion our data suggest that miR-195 may have the potential role in treatment of CC patients as well as miR-195 is a novel regulator of invasiveness and tumorigenicity in CC cells by targeting cyclin D1;MicroRNA profiling identifies MiR 195 suppresses osteosarcoma cell metastasis by targeting CCND1; Meanwhile CCND1 was identified as the target gene of miR-195 and further studied; More importantly using real-time PCR we evaluated the expression of miR-195 and CCND1 in osteosarcoma samples from 107 frozen biopsy tissues and 99 formalin- or paraformalin-fixed paraffin-embedded FFPE tissues; Results indicated lowly expressed miR-195 or highly CCND1 correlated with positive overall survival and their expression inversely related to each other; In summary our study suggests miR-195 functions as a tumor metastasis suppressor gene by down-regulating CCND1 and can be used as a potential target in the treatment of osteosarcoma
4 hsa-miR-195-5p CCNE1 -1.07 0 1.64 0 miRNAWalker2 validate -0.51 0 24402230 Furthermore through qPCR and western blot assays we showed that overexpression of miR-195-5p reduced CCNE1 mRNA and protein levels respectively
5 hsa-miR-195-5p CDK6 -1.07 0 0.99 0 miRNAWalker2 validate -0.29 0 23333942 Expression of cyclin-dependent kinase 6 and vascular endothelial growth factor was down-regulated by exogenous miR-195 and miR-378 respectively
6 hsa-miR-195-5p CHUK -1.07 0 0.26 0.00542 miRNAWalker2 validate -0.21 0 NA
7 hsa-miR-195-5p COPB1 -1.07 0 0.19 0.02266 miRNAWalker2 validate -0.16 0 NA
8 hsa-miR-195-5p E2F3 -1.07 0 1.29 0 miRNAWalker2 validate -0.32 0 22217655 We identified E2F3 and CCND3 as functional downstream targets of miR-195 in glioblastoma cells
9 hsa-miR-16-5p LAMC1 0.47 0.02635 0.37 0.03663 miRNAWalker2 validate -0.35 0 NA
10 hsa-miR-29c-3p LAMC1 -1.34 0 0.37 0.03663 miRNAWalker2 validate -0.26 0 NA
11 hsa-miR-92a-3p LAMC1 1.06 0 0.37 0.03663 miRNAWalker2 validate -0.22 4.0E-5 NA
12 hsa-miR-98-5p LAMC1 0.73 0 0.37 0.03663 miRNAWalker2 validate -0.19 0.0407 NA
13 hsa-miR-195-5p LSM11 -1.07 0 0.27 0.02929 miRNAWalker2 validate -0.19 0 NA
14 hsa-miR-195-5p NOLC1 -1.07 0 0.83 0 miRNAWalker2 validate -0.3 0 NA
15 hsa-miR-195-5p SPTBN1 -1.07 0 0.56 1.0E-5 miRNAWalker2 validate -0.2 0 NA
16 hsa-miR-195-5p TAB3 -1.07 0 -0.14 0.20037 miRNAWalker2 validate -0.13 9.0E-5 23487264 Genome wide screening reveals that miR 195 targets the TNF α/NF κB pathway by down regulating IκB kinase alpha and TAB3 in hepatocellular carcinoma; Additionally miR-195 may exert its tumor suppressive function by decreasing the expression of multiple NF-κB downstream effectors by way of the direct targeting of IKKα and TAB3
17 hsa-miR-195-5p TBCCD1 -1.07 0 0.31 0.00012 miRNAWalker2 validate -0.15 0 NA
18 hsa-miR-195-5p TMC6 -1.07 0 1.02 0 miRNAWalker2 validate -0.16 0.00148 NA
19 hsa-miR-195-5p VEGFA -1.07 0 0.63 0.00062 miRNAWalker2 validate -0.29 0 27574422; 23468064; 26823724 In this study we used a new cationic peptide disulfide cross-linked stearylated polyarginine peptide modified with histidine H3R5 as a reducible vector cell penetrating peptide-modified aptamer ST21 with specific binding to HCC cells to conjugate to peptide H3R5 as the targeting probe miRNA-195 miR195 as a powerful gene drug to inhibit VEGF and fasudil to suppress vasculogenic mimicry by blocking ROCK2 all of which were simultaneously encapsulated in the same nanoparticles;Furthermore we revealed that miR-195 down-regulation resulted in enhanced VEGF levels in the tumor microenvironment which subsequently activated VEGF receptor 2 signaling in endothelial cells and thereby promoted angiogenesis;MiR 195 is a key negative regulator of hepatocellular carcinoma metastasis by targeting FGF2 and VEGFA; Luciferase reporter and ELISA assay prove that hematogenous metastasis related genes including FGF2 and VEGFA are the target genes of miR-195; Taken together our results suggest that miR-195 a tumor suppressor miRNA contributes to the lung metastasis of HCC by negatively regulating FGF2 and VEGFA providing key implications of miR-195 for the therapeutic intervention of HCC
20 hsa-miR-195-5p WEE1 -1.07 0 -0.06 0.67344 miRNAWalker2 validate -0.18 2.0E-5 22847610 Regulation of cell cycle checkpoint kinase WEE1 by miR 195 in malignant melanoma; Moreover there was an inverse correlation between the expression of WEE1 and WEE1-targeting microRNA miR-195; Further analyses showed that transfection of melanoma cell lines with miR-195 indeed reduced WEE1 mRNA and protein expression in these cells; Reporter gene analysis confirmed direct targeting of the WEE1 3' untranslated region 3'UTR by miR-195; Overexpression of miR-195 in SK-Mel-28 melanoma cells was accompanied by WEE1 reduction and significantly reduced stress-induced G2-M cell cycle arrest which could be restored by stable overexpression of WEE1; Moreover miR-195 overexpression and WEE1 knockdown respectively increased melanoma cell proliferation; Taken together the present study shows that WEE1 expression in malignant melanoma is directly regulated by miR-195 miR-195-mediated downregulation of WEE1 in metastatic lesions may help to overcome cell cycle arrest under stress conditions in the local tissue microenvironment to allow unrestricted growth of tumour cells
21 hsa-miR-195-5p ZNF280C -1.07 0 0.91 0 miRNAWalker2 validate -0.38 0 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 PROTEIN KINASE COMPLEX 4 90 1.118e-06 0.0006529
2 CYCLIN DEPENDENT PROTEIN KINASE HOLOENZYME COMPLEX 3 31 2.708e-06 0.0007908

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 PI3K_Akt_signaling_pathway_hsa04151 7 352 1.328e-08 6.904e-07
2 Cell_cycle_hsa04110 5 124 6.785e-08 1.764e-06
3 Cellular_senescence_hsa04218 4 160 1.106e-05 0.0001917
4 p53_signaling_pathway_hsa04115 3 68 2.957e-05 0.0003845
5 FoxO_signaling_pathway_hsa04068 3 132 0.0002133 0.002218
6 Focal_adhesion_hsa04510 3 199 0.0007092 0.006146
7 NF_kappa_B_signaling_pathway_hsa04064 2 95 0.003251 0.02415
8 TNF_signaling_pathway_hsa04668 2 108 0.004178 0.02716
9 Apoptosis_hsa04210 2 138 0.006727 0.03887
10 Ras_signaling_pathway_hsa04014 2 232 0.01814 0.09433
11 MAPK_signaling_pathway_hsa04010 2 295 0.02839 0.127

Quest ID: c59076c58c1d383d1083049119e88385