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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-125a-5p CCR5 -1.32 0.00714 1.27 0.17298 miRanda -0.33 0.00234 NA
2 hsa-miR-501-5p CCR5 1.04 0.07772 1.27 0.17298 mirMAP -0.18 0.04427 NA
3 hsa-miR-93-3p CCR5 2.63 0 1.27 0.17298 MirTarget -0.42 3.0E-5 NA
4 hsa-miR-103a-3p CD274 0.99 0.00468 2.22 0.05161 miRNAWalker2 validate -0.48 0.01013 NA
5 hsa-miR-106a-5p CD274 3.99 0 2.22 0.05161 MirTarget -0.24 0.00245 NA
6 hsa-miR-182-5p CD274 5.87 0 2.22 0.05161 mirMAP -0.34 5.0E-5 NA
7 hsa-miR-200a-3p CD274 6.34 0 2.22 0.05161 MirTarget -0.35 1.0E-5 NA
8 hsa-miR-20b-5p CD274 4.57 5.0E-5 2.22 0.05161 MirTarget -0.19 0.0007 24468585 These findings suggest that miR-20b -21 and -130b up-regulated in colorectal cancer through inhibiting the expression of PTEN result in B7-H1 over-expression in colorectal cancer
9 hsa-miR-324-5p CD274 1.31 0.01168 2.22 0.05161 miRanda -0.47 0.00014 NA
10 hsa-miR-429 CD274 6.4 0 2.22 0.05161 miRanda -0.41 0 NA
11 hsa-miR-497-5p CD274 -1.44 0.02251 2.22 0.05161 MirTarget -0.38 0.00018 NA
12 hsa-miR-93-5p CD274 2.66 0 2.22 0.05161 MirTarget -0.46 0.00064 NA
13 hsa-miR-15b-5p CD80 3.32 0 1.86 0.03876 MirTarget -0.21 0.04669 NA
14 hsa-miR-429 CD80 6.4 0 1.86 0.03876 miRanda -0.31 0 NA
15 hsa-miR-497-5p CD80 -1.44 0.02251 1.86 0.03876 MirTarget -0.23 0.00444 NA
16 hsa-miR-181b-5p JAK2 1.11 0.02734 -0.34 0.59279 mirMAP -0.19 0.00651 NA
17 hsa-miR-335-5p JAK2 0.17 0.8039 -0.34 0.59279 miRNAWalker2 validate -0.21 7.0E-5 NA
18 hsa-miR-106b-5p PTEN 2.81 0 -0.85 0.06985 miRNAWalker2 validate; miRTarBase -0.11 0.04829 24842611; 26238857; 26722252 MicroRNA 106b in cancer associated fibroblasts from gastric cancer promotes cell migration and invasion by targeting PTEN;We further identified PTEN and p21 as novel direct targets of miR-106b by using target prediction algorithms and a luciferase assay; Overexpression of miR-106b reduced the expression of PTEN and p21 and increased the expression of p-AKT which is a downstream of PTEN; Restoring the expression of PTEN or p21 in stably miR-106b-overexpressed cells could rescue the effect of miR-106b on cell radioresistance; These observations illustrated that miR-106b could induce cell radioresistance by directly targeting PTEN and p21 this process was accompanied by tumour-initiating cell capacity enhancement which is universally confirmed to be associated with radioresistance;Cantharidin modulates the E2F1/MCM7 miR 106b 93/p21 PTEN signaling axis in MCF 7 breast cancer cells
19 hsa-miR-130b-3p PTEN 3.92 0 -0.85 0.06985 MirTarget -0.14 0.00158 26837847; 25637514 The miR 130 family promotes cell migration and invasion in bladder cancer through FAK and Akt phosphorylation by regulating PTEN; In clinical bladder cancer specimens downregulation of PTEN was found to be closely correlated with miR-130 family expression levels;MiR 130b plays an oncogenic role by repressing PTEN expression in esophageal squamous cell carcinoma cells; We confirmed that miR-130b interacted with the 3'-untranslated region of PTEN and that an increase in the expression level of miR-130b negatively affected the protein level of PTEN; However the dysregulation of miR-130b had no obvious impact on PTEN mRNA; As Akt is a downstream effector of PTEN we explored if miR-130b affected Akt expression and found that miR-130b indirectly regulated the level of phosphorylated Akt while total Akt protein remained unchanged; The results indicate that miR-130b plays an oncogenic role in ESCC cells by repressing PTEN expression and Akt phosphorylation which would be helpful in developing miRNA-based treatments for ESCC
20 hsa-miR-15b-3p PTEN 3.58 0 -0.85 0.06985 mirMAP -0.1 0.03164 NA
21 hsa-miR-182-5p PTEN 5.87 0 -0.85 0.06985 mirMAP -0.1 0.00332 NA
22 hsa-miR-186-5p PTEN 0.45 0.18545 -0.85 0.06985 mirMAP -0.2 0.01312 NA
23 hsa-miR-188-5p PTEN 1.39 0.02516 -0.85 0.06985 MirTarget -0.12 0.0041 NA
24 hsa-miR-200b-3p PTEN 5.56 0 -0.85 0.06985 TargetScan; mirMAP -0.11 0.00228 22637745; 21408027 Re expression of miR 200 by novel approaches regulates the expression of PTEN and MT1 MMP in pancreatic cancer; We initially compared the expression profile of miR-200 family PTEN and MT1-MMP expression in six pancreatic cancer PC cell lines by qRT-PCR and western blot analysis; The expression of miR-200 family and PTEN was significantly re-expressed whereas the expression of MT1-MMP was down-regulated by CDF and BR-DIM treatment; These results provide strong experimental evidence showing that the loss of miR-200 family and PTEN expression and increased level of MT1-MMP leads to aggressive behavior of PC cells which could be attenuated through re-expression of miR-200c by CDF and/or BR-DIM treatment suggesting that these agents could be useful for PC treatment;Anti tumor activity of a novel compound CDF is mediated by regulating miR 21 miR 200 and PTEN in pancreatic cancer; In a xenograft mouse model of human PC CDF treatment significantly inhibited tumor growth which was associated with decreased NF-κB DNA binding activity COX-2 and miR-21 expression and increased PTEN and miR-200 expression in tumor remnants
25 hsa-miR-25-3p PTEN 1.13 0.00311 -0.85 0.06985 miRTarBase; MirTarget -0.35 0 NA
26 hsa-miR-28-5p PTEN -0.82 0.02212 -0.85 0.06985 miRanda -0.2 0.00766 NA
27 hsa-miR-30e-3p PTEN -0.04 0.93258 -0.85 0.06985 MirTarget -0.14 0.02505 NA
28 hsa-miR-32-3p PTEN 2.2 0.03928 -0.85 0.06985 mirMAP -0.13 0.00318 24123284; 25647261; 23617834 In this study we determined the levels of the correlation between and the clinical significance of the expression of miR-32 and phosphatase and tensin homologue PTEN a tumor suppressor targeted by miR-32 in CRC; The levels of miR-32 and PTEN gene expression in 35 colorectal carcinoma samples 35 corresponding cancer-adjacent tissue samples 27 colorectal adenoma samples and 16 normal tissue samples were quantified using real-time quantitative reverse transcriptase-polymerase chain reaction; The relationship between the miR-32 and PTEN protein expression and clinicopathological factors was analyzed; Significant upregulation of miR-32 expression and reduction of PTEN were identified in CRC tissues; An inverse relationship between miR-32 and PTEN protein expression was identified; MiR-32 and PTEN expression were inversely correlated and miR-32 may be associated with the development of CRC;MiR 32 induces cell proliferation migration and invasion in hepatocellular carcinoma by targeting PTEN; Besides miRNA-32 down-regulates PTEN through binding to 3'-UTR of PTEN mRNA from luciferase reporter assay and the expression level of miR-32 could affect the proliferation migration and invasion of liver cancer cell lines via PTEN/Akt signaling pathway; Down-expression of PTEN could significantly attenuate the inhibitory effects of knockdown miR-32 on the proliferation migration and invasion of liver cancer cells suggesting that miR-32 could be a potential target for HCC treatment;MicroRNA 32 miR 32 regulates phosphatase and tensin homologue PTEN expression and promotes growth migration and invasion in colorectal carcinoma cells; In this study we identified the potential effects of miR-32 on some important biological properties of CRC cells and clarified the regulation of PTEN by miR-32; The 3'-untranslated region 3'-UTR of PTEN combined with miR-32 was verified by dual-luciferase reporter assay; Gain-of-function and loss-of-function studies showed that overexpression of miR-32 promoted SW480 cell proliferation migration and invasion reduced apoptosis and resulted in downregulation of PTEN at a posttranscriptional level; However miR-32 knock-down inhibited these processes in HCT-116 cells and enhanced the expression of PTEN protein; In addition we further identified PTEN as the functional downstream target of miR-32 by directly targeting the 3'-UTR of PTEN; Our results demonstrated that miR-32 was involved in tumorigenesis of CRC at least in part by suppression of PTEN
29 hsa-miR-374a-5p PTEN 0.28 0.45888 -0.85 0.06985 MirTarget; mirMAP -0.17 0.01551 NA
30 hsa-miR-374b-5p PTEN -0.11 0.76489 -0.85 0.06985 MirTarget; mirMAP -0.18 0.00877 NA
31 hsa-miR-421 PTEN 1.98 0.00092 -0.85 0.06985 miRanda -0.14 0.00219 NA
32 hsa-miR-532-5p PTEN -0.3 0.50393 -0.85 0.06985 mirMAP -0.21 0.00051 NA
33 hsa-miR-590-3p PTEN 2.35 0 -0.85 0.06985 MirTarget; miRanda; mirMAP -0.14 0.00714 23803188 Targetscan predicted PDCD4 and PTEN as the potential target genes of miR-590-5p and miR-590-3p which was verified by luciferase reporter system and Western blotting; miR-590-3p was found to activate PI3K-AKT signaling pathway by down-regulating PTEN to promote AKT1-S473 phosphorylation
34 hsa-miR-7-1-3p PTEN 1.43 0.00471 -0.85 0.06985 mirMAP -0.18 0.00076 NA
35 hsa-miR-93-5p PTEN 2.66 0 -0.85 0.06985 miRNAWalker2 validate; miRTarBase -0.18 0.00096 25633810; 26243299; 22465665; 26087719 MicroRNA 93 activates c Met/PI3K/Akt pathway activity in hepatocellular carcinoma by directly inhibiting PTEN and CDKN1A; We confirmed that miR-93 directly bound with the 3' untranslated regions of the tumor-suppressor genes PTEN and CDKN1A respectivelyand inhibited their expression; We concluded that miR-93 stimulated cell proliferation migration and invasion through the oncogenic c-Met/PI3K/Akt pathway and also inhibited apoptosis by directly inhibiting PTEN and CDKN1A expression in human HCC;microRNA 93 promotes cell proliferation via targeting of PTEN in Osteosarcoma cells; An miRNA miR-93 was significantly up-regulated whereas phosphatase and tensin homologue PTEN expression was significantly down-regulated in all tested OS cells when compared with hMSCs; Ectopic expression of miR-93 decreased PTEN protein levels; Taking these observations together miR-93 can be seen to play a critical role in carcinogenesis through suppression of PTEN and may serve as a therapeutic target for the treatment of OS;Furthermore we found that miR-93 can directly target PTEN and participates in the regulation of the AKT signaling pathway; MiR-93 inversely correlates with PTEN expression in CDDP-resistant and sensitive human ovarian cancer tissues;Furthermore our study found berberine could inhibit miR-93 expression and function in ovarian cancer as shown by an increase of its target PTEN an important tumor suppressor in ovarian cancer; More importantly A2780 cells that were treated with PTEN siRNA had a survival pattern that is similar to cells with miR-93 overexpression
36 hsa-miR-129-5p STAT1 -2.67 0.00696 2.01 0.00164 miRanda -0.13 0.00033 NA
37 hsa-miR-143-5p STAT1 -1.24 0.06316 2.01 0.00164 MirTarget -0.28 0 NA
38 hsa-miR-145-5p STAT1 -3.56 0 2.01 0.00164 miRNAWalker2 validate; miRTarBase -0.3 0 20098684 MicroRNA 145 targets YES and STAT1 in colon cancer cells; Both YES and STAT1 were verified as direct miR-145 targets
39 hsa-miR-182-5p STAT1 5.87 0 2.01 0.00164 mirMAP -0.14 0.0027 NA
40 hsa-miR-30c-2-3p STAT1 -0.92 0.3002 2.01 0.00164 MirTarget -0.17 4.0E-5 NA
41 hsa-miR-34a-5p STAT1 0.83 0.04775 2.01 0.00164 miRNAWalker2 validate -0.27 0.00211 NA
42 hsa-miR-361-5p STAT1 0.01 0.9852 2.01 0.00164 miRanda -0.46 1.0E-5 NA
43 hsa-miR-495-3p STAT1 -1.28 0.09795 2.01 0.00164 MirTarget -0.17 0.00035 NA
44 hsa-miR-532-3p STAT1 0.64 0.21484 2.01 0.00164 MirTarget -0.24 0.00078 NA
45 hsa-miR-96-5p STAT1 5.63 0 2.01 0.00164 mirMAP -0.21 1.0E-5 NA
46 hsa-miR-125a-5p STAT2 -1.32 0.00714 0.87 0.04191 miRNAWalker2 validate -0.1 0.04282 NA
47 hsa-miR-335-5p STAT2 0.17 0.8039 0.87 0.04191 miRNAWalker2 validate -0.1 0.00506 NA
48 hsa-miR-339-5p STAT2 1.23 0.03075 0.87 0.04191 miRanda -0.11 0.00973 NA
49 hsa-miR-432-5p STAT2 -1.05 0.21679 0.87 0.04191 MirTarget -0.13 1.0E-5 NA
50 hsa-miR-29a-5p TRAF6 0.07 0.88413 -0.43 0.2557 MirTarget; mirMAP -0.13 0.00187 NA
51 hsa-miR-335-3p TRAF6 1.2 0.09389 -0.43 0.2557 MirTarget -0.1 0.00058 NA
52 hsa-miR-374b-5p TRAF6 -0.11 0.76489 -0.43 0.2557 mirMAP -0.18 0.00171 NA
53 hsa-miR-497-5p TRAF6 -1.44 0.02251 -0.43 0.2557 MirTarget -0.11 0.00096 NA
NumGOOverlapSizeP ValueAdj. P Value
1 IMMUNE SYSTEM PROCESS 8 1984 9.259e-09 4.308e-05
2 REGULATION OF IMMUNE SYSTEM PROCESS 7 1403 6.192e-08 9.604e-05
3 RESPONSE TO CYTOKINE 6 714 5.341e-08 9.604e-05
4 REGULATION OF IMMUNE RESPONSE 6 858 1.593e-07 0.0001236
5 POSITIVE REGULATION OF CELL PROLIFERATION 6 814 1.165e-07 0.0001236
6 INTRACELLULAR SIGNAL TRANSDUCTION 7 1572 1.364e-07 0.0001236
7 RESPONSE TO BIOTIC STIMULUS 6 886 1.928e-07 0.0001282
8 CYTOKINE MEDIATED SIGNALING PATHWAY 5 452 3.054e-07 0.0001776
9 RESPONSE TO EXTERNAL STIMULUS 7 1821 3.781e-07 0.0001955
10 STAT CASCADE 3 50 8.161e-07 0.0003164
11 JAK STAT CASCADE 3 50 8.161e-07 0.0003164
12 IMMUNE RESPONSE 6 1100 6.951e-07 0.0003164
13 CELLULAR RESPONSE TO CYTOKINE STIMULUS 5 606 1.304e-06 0.0004669
14 REGULATION OF CELL ADHESION 5 629 1.568e-06 0.0005211
15 RESPONSE TO OXYGEN CONTAINING COMPOUND 6 1381 2.661e-06 0.0008254
16 POSITIVE REGULATION OF CELL ACTIVATION 4 311 3.822e-06 0.001111
17 REGULATION OF CELL PROLIFERATION 6 1496 4.258e-06 0.00112
18 RESPONSE TO MOLECULE OF BACTERIAL ORIGIN 4 321 4.333e-06 0.00112
19 POSITIVE REGULATION OF T CELL PROLIFERATION 3 95 5.715e-06 0.0014
20 REGULATION OF INNATE IMMUNE RESPONSE 4 357 6.603e-06 0.001536
21 POSITIVE REGULATION OF CELL ADHESION 4 376 8.107e-06 0.001656
22 RESPONSE TO LIPID 5 888 8.543e-06 0.001656
23 REGULATION OF CELL CELL ADHESION 4 380 8.454e-06 0.001656
24 POSITIVE REGULATION OF CYTOKINE PRODUCTION 4 370 7.608e-06 0.001656
25 CELLULAR RESPONSE TO ORGANIC SUBSTANCE 6 1848 1.468e-05 0.002731
26 REGULATION OF PHOSPHATIDYLINOSITOL 3 KINASE SIGNALING 3 138 1.755e-05 0.002916
27 CELLULAR RESPONSE TO LIPID 4 457 1.751e-05 0.002916
28 POSITIVE REGULATION OF LEUKOCYTE PROLIFERATION 3 136 1.68e-05 0.002916
29 REGULATION OF RESPONSE TO CYTOKINE STIMULUS 3 144 1.994e-05 0.003199
30 REGULATION OF T CELL PROLIFERATION 3 147 2.121e-05 0.003289
31 REGULATION OF CELL ACTIVATION 4 484 2.195e-05 0.003295
32 LOCOMOTION 5 1114 2.583e-05 0.003757
33 CELLULAR RESPONSE TO BIOTIC STIMULUS 3 163 2.888e-05 0.004072
34 RESPONSE TO BACTERIUM 4 528 3.09e-05 0.004229
35 REGULATION OF RESPONSE TO INTERFERON GAMMA 2 22 3.221e-05 0.004282
36 REGULATION OF CYTOKINE PRODUCTION 4 563 3.974e-05 0.005137
37 REGULATION OF LEUKOCYTE PROLIFERATION 3 206 5.805e-05 0.007301
38 POSITIVE REGULATION OF INTERLEUKIN 2 PRODUCTION 2 31 6.473e-05 0.007926
39 NEGATIVE REGULATION OF CELL PROLIFERATION 4 643 6.683e-05 0.007973
40 INTERSPECIES INTERACTION BETWEEN ORGANISMS 4 662 7.487e-05 0.008295
41 NEGATIVE REGULATION OF CELL ADHESION 3 223 7.349e-05 0.008295
42 SYMBIOSIS ENCOMPASSING MUTUALISM THROUGH PARASITISM 4 662 7.487e-05 0.008295
43 PLATELET DERIVED GROWTH FACTOR RECEPTOR SIGNALING PATHWAY 2 34 7.804e-05 0.008301
44 POSITIVE REGULATION OF SEQUENCE SPECIFIC DNA BINDING TRANSCRIPTION FACTOR ACTIVITY 3 228 7.85e-05 0.008301
45 POSITIVE REGULATION OF CELL CELL ADHESION 3 243 9.484e-05 0.009806
46 REGULATION OF RESPONSE TO STRESS 5 1468 9.82e-05 0.00985
47 REGULATION OF CELL DEATH 5 1472 9.949e-05 0.00985
48 REGULATION OF TYPE I INTERFERON MEDIATED SIGNALING PATHWAY 2 39 0.000103 0.009983
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 SIDE OF MEMBRANE 6 428 2.505e-09 1.463e-06
2 CYTOPLASMIC SIDE OF MEMBRANE 3 170 3.275e-05 0.009562

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa04062_Chemokine_signaling_pathway 4 189 5.25e-07 9.451e-05
2 hsa04620_Toll.like_receptor_signaling_pathway 3 102 7.08e-06 0.0006372
3 hsa04380_Osteoclast_differentiation 3 128 1.401e-05 0.0008404
4 hsa04630_Jak.STAT_signaling_pathway 3 155 2.485e-05 0.001118
5 hsa04514_Cell_adhesion_molecules_.CAMs. 2 136 0.001251 0.04504
6 hsa04144_Endocytosis 2 203 0.002757 0.08272
7 hsa04151_PI3K_AKT_signaling_pathway 2 351 0.008019 0.2062

lncRNA-mediated sponge

(Download full result)

Num lncRNA miRNAs           miRNAs count     Gene Sponge regulatory network lncRNA log2FC lncRNA pvalue Gene log2FC Gene pvalue lncRNA-gene Pearson correlation
1 AC003991.3 hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-15b-3p;hsa-miR-182-5p;hsa-miR-188-5p;hsa-miR-200b-3p;hsa-miR-25-3p;hsa-miR-32-3p;hsa-miR-374a-5p;hsa-miR-374b-5p;hsa-miR-421;hsa-miR-590-3p 12 PTEN Sponge network -1.985 0.20946 -0.849 0.06985 0.299

Quest ID: 4374c1d05dc72ce0cdef0a53546bdbcd