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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-140-5p ABCD3 -0.76 0 0.36 0.0002 miRanda -0.18 0 NA
2 hsa-miR-140-5p ABHD1 -0.76 0 -0.98 0 miRanda -0.13 0.01184 NA
3 hsa-miR-140-5p ADCY6 -0.76 0 -0.63 0 miRanda -0.16 0 NA
4 hsa-miR-140-5p ALOX15B -0.76 0 -0.75 0.01908 miRanda -0.25 0.0205 NA
5 hsa-miR-140-5p AMACR -0.76 0 0.53 0 miRanda -0.15 0 NA
6 hsa-miR-140-5p ANKRD42 -0.76 0 0.22 0.01213 miRanda -0.21 0 NA
7 hsa-miR-140-5p ANKRD52 -0.76 0 0.23 0.00024 miRanda -0.12 0 NA
8 hsa-miR-140-5p ANKS1B -0.76 0 0.2 0.2194 miRanda -0.32 0 NA
9 hsa-miR-140-5p AP1AR -0.76 0 0.37 0 miRanda -0.11 2.0E-5 NA
10 hsa-miR-140-5p AP2B1 -0.76 0 0.26 0.00183 miRanda -0.13 0 NA
11 hsa-miR-140-5p ARFIP2 -0.76 0 0.83 0 miRanda -0.3 0 NA
12 hsa-miR-140-5p ARHGAP32 -0.76 0 0.43 9.0E-5 miRanda -0.19 0 NA
13 hsa-miR-140-5p ARHGEF18 -0.76 0 0.6 0 miRanda -0.11 0 NA
14 hsa-miR-140-5p ARMC9 -0.76 0 1.05 0 miRanda -0.26 0 NA
15 hsa-miR-140-5p ARV1 -0.76 0 0.72 0 miRanda -0.13 0 NA
16 hsa-miR-140-5p ATG4B -0.76 0 0.43 0 miRanda -0.11 0 NA
17 hsa-miR-140-5p ATP6V1G1 -0.76 0 0.81 0 miRanda -0.17 0 NA
18 hsa-miR-140-5p B3GALT6 -0.76 0 0.69 0 miRanda -0.16 0 NA
19 hsa-miR-140-5p BBS4 -0.76 0 0.09 0.27948 miRanda -0.15 0 NA
20 hsa-miR-34a-5p BCL2 0.13 0.13326 -0.9 0 miRTarBase -0.22 0.00143 24565525; 22623155; 21399894; 23155233; 24444609; 20687223; 24988056; 18803879; 19714243; 25053345; 20433755; 22964582; 23862748 In vitro and in vivo experiments showed that miR-34a and DOX can be efficiently encapsulated into HA-CS NPs and delivered into tumor cells or tumor tissues and enhance anti-tumor effects of DOX by suppressing the expression of non-pump resistance and anti-apoptosis proto-oncogene Bcl-2;MiR 34a inhibits proliferation and migration of breast cancer through down regulation of Bcl 2 and SIRT1; In this study we aimed to determine the effect of miR-34a on the growth of breast cancer and to investigate whether its effect is achieved by targeting Bcl-2 and SIRT1; Bcl-2 and SIRT1 as the targets of miR-34a were found to be in reverse correlation with ectopic expression of miR-34a;Quantitative PCR and western analysis confirmed decreased expression of two genes BCL-2 and CCND1 in docetaxel-resistant cells which are both targeted by miR-34a;The miR-34a expression levels in cells after irradiation at 30 and 60 Gy were 0.17- and 18.7-times the BCL2 and caspase-9 expression levels respectively;Functional analyses further indicate that restoration of miR-34a inhibits B cell lymphoma-2 Bcl-2 protein expression to withdraw the survival advantage of these resistant NSCLC cells;Thus in PC3PR cells reduced expression of miR-34a confers paclitaxel resistance via up-regulating SIRT1 and Bcl2 expression; MiR-34a and its downstream targets SIRT1 and Bcl2 play important roles in the development of paclitaxel resistance all of which can be useful biomarkers and promising therapeutic targets for the drug resistance in hormone-refractory prostate cancer;Target analysis indicated that micro RNA miR-34a directly regulates Bcl-2 and miR-34a overexpression decreased Bcl-2 protein level in gastric cancer cells; We also found that luteolin upregulates miR-34a expression and downregulates Bcl-2 expression; Based on these results we can draw the conclusion that luteolin partly decreases Bcl-2 expression through upregulating miR-34a expression;miR-34 targets Notch HMGA2 and Bcl-2 genes involved in the self-renewal and survival of cancer stem cells; Human gastric cancer cells were transfected with miR-34 mimics or infected with the lentiviral miR-34-MIF expression system and validated by miR-34 reporter assay using Bcl-2 3'UTR reporter; Human gastric cancer Kato III cells with miR-34 restoration reduced the expression of target genes Bcl-2 Notch and HMGA2; Bcl-2 3'UTR reporter assay showed that the transfected miR-34s were functional and confirmed that Bcl-2 is a direct target of miR-34; The mechanism of miR-34-mediated suppression of self-renewal appears to be related to the direct modulation of downstream targets Bcl-2 Notch and HMGA2 indicating that miR-34 may be involved in gastric cancer stem cell self-renewal/differentiation decision-making;Among the target proteins regulated by miR-34 are Notch pathway proteins and Bcl-2 suggesting the possibility of a role for miR-34 in the maintenance and survival of cancer stem cells; Our data support the view that miR-34 may be involved in pancreatic cancer stem cell self-renewal potentially via the direct modulation of downstream targets Bcl-2 and Notch implying that miR-34 may play an important role in pancreatic cancer stem cell self-renewal and/or cell fate determination;Manipulating miR-34a in prostate cancer cells confirms that this miRNA regulates BCL-2 and may in part regulate response to docetaxel;For instance miR-34a up-regulation corresponded with a down-regulation of BCL2 protein; Treating Par-4-overexpressing HT29 cells with a miR-34a antagomir functionally reversed both BCL2 down-regulation and apoptosis by 5-FU;Tumors harvested from these lungs have elevated levels of oncogenic miRNAs miR-21 and miR-155; are deficient for p53-regulated miRNAs; and have heightened expression of miR-34 target genes such as Met and Bcl-2;MicroRNA 34a targets Bcl 2 and sensitizes human hepatocellular carcinoma cells to sorafenib treatment; HCC tissues with lower miR-34a expression displayed higher expression of Bcl-2 protein than those with high expression of miR-34a; therefore an inverse correlation is evident between the miR-34a level and Bcl-2 expression; Bioinformatics and luciferase reporter assays revealed that miR-34a binds the 3'-UTR of the Bcl-2 mRNA and represses its translation; Western blotting analysis and qRT-PCR confirmed that Bcl-2 is inhibited by miR-34a overexpression; Functional analyses indicated that the restoration of miR-34a reduced cell viability promoted cell apoptosis and potentiated sorafenib-induced apoptosis and toxicity in HCC cell lines by inhibiting Bcl-2 expression
21 hsa-miR-140-5p BCL2L1 -0.76 0 0.52 0 miRanda -0.18 0 NA
22 hsa-miR-140-5p BCL9 -0.76 0 1.09 0 miRanda -0.21 0 NA
23 hsa-miR-140-5p BMP8A -0.76 0 2.55 0 miRanda -0.17 0.00068 NA
24 hsa-miR-140-5p BRD8 -0.76 0 0.07 0.22169 miRanda -0.11 0 NA
25 hsa-miR-140-5p CADPS -0.76 0 1.86 0 miRanda -0.29 2.0E-5 NA
26 hsa-miR-140-5p CAMK2N1 -0.76 0 0.27 0.07667 miRanda -0.29 0 NA
27 hsa-miR-140-5p CAPN1 -0.76 0 0.6 0 miRanda -0.12 0 NA
28 hsa-miR-140-5p CARD10 -0.76 0 -0.48 6.0E-5 miRanda -0.13 0.00133 NA
29 hsa-miR-140-5p CASC1 -0.76 0 0.07 0.72877 miRanda -0.54 0 NA
30 hsa-miR-140-5p CBWD3 -0.76 0 0.89 0 miRanda -0.2 0 NA
31 hsa-miR-140-5p CC2D1A -0.76 0 0.42 0 miRanda -0.16 0 NA
32 hsa-miR-140-5p CCDC120 -0.76 0 0.74 0 miRanda -0.15 0 NA
33 hsa-miR-140-5p CCDC13 -0.76 0 -0.04 0.76305 miRanda -0.12 0.00611 NA
34 hsa-miR-140-5p CCDC30 -0.76 0 0.19 0.10313 miRanda -0.29 0 NA
35 hsa-miR-140-5p CCDC78 -0.76 0 3.58 0 miRanda -0.82 0 NA
36 hsa-miR-140-5p CCNB1 -0.76 0 2.42 0 miRanda -0.15 0.00114 NA
37 hsa-miR-140-5p CCNF -0.76 0 1.72 0 miRanda -0.21 0 NA
38 hsa-miR-140-5p CD276 -0.76 0 0.96 0 miRanda -0.1 1.0E-5 NA
39 hsa-miR-140-5p CD46 -0.76 0 0.22 0.00794 miRanda -0.14 0 NA
40 hsa-miR-140-5p CDHR3 -0.76 0 -0.46 0.04587 miRanda -0.2 0.01135 NA
41 hsa-miR-140-5p CDK1 -0.76 0 3.03 0 miRanda -0.14 0.01652 NA
42 hsa-miR-140-5p CDKN3 -0.76 0 3.05 0 miRanda -0.14 0.01639 NA
43 hsa-miR-140-5p CEACAM6 -0.76 0 3.15 0 miRanda -0.72 0 NA
44 hsa-miR-140-5p CELF3 -0.76 0 2.06 0 miRanda -0.55 0 NA
45 hsa-miR-140-5p CERCAM -0.76 0 1.06 0 miRanda -0.25 0 NA
46 hsa-miR-140-5p CHST15 -0.76 0 0.52 0 miRanda -0.23 0 NA
47 hsa-miR-140-5p CLEC5A -0.76 0 2.97 0 miRanda -0.14 0.03363 NA
48 hsa-miR-140-5p COPG2 -0.76 0 0.25 0.00034 miRanda -0.13 0 NA
49 hsa-miR-140-5p COQ4 -0.76 0 0.53 0 miRanda -0.25 0 NA
50 hsa-miR-140-5p CORIN -0.76 0 2 0 miRanda -0.34 0 NA
51 hsa-miR-140-5p CORO2A -0.76 0 1.38 0 miRanda -0.29 0 NA
52 hsa-miR-140-5p CREB3L1 -0.76 0 1.98 0 miRanda -0.45 0 NA
53 hsa-miR-140-5p CREB3L4 -0.76 0 1.73 0 miRanda -0.57 0 NA
54 hsa-miR-140-5p CST9L -0.76 0 0.9 0.00141 miRanda -0.54 0 NA
55 hsa-miR-140-5p CTSF -0.76 0 -0.45 5.0E-5 miRanda -0.15 4.0E-5 NA
56 hsa-miR-140-5p CUEDC1 -0.76 0 0.54 0 miRanda -0.19 0 NA
57 hsa-miR-140-5p CXXC4 -0.76 0 -0.35 0.08009 miRanda -0.13 0.04681 NA
58 hsa-miR-140-5p CYB5D1 -0.76 0 -0.14 0.07571 miRanda -0.15 0 NA
59 hsa-miR-140-5p CYTH2 -0.76 0 0.7 0 miRanda -0.27 0 NA
60 hsa-miR-140-5p DCDC1 -0.76 0 0.96 5.0E-5 miRanda -0.52 0 NA
61 hsa-miR-140-5p DCDC2 -0.76 0 -1.86 0 miRanda -0.2 0.0478 NA
62 hsa-miR-140-5p DHCR24 -0.76 0 0.77 0 miRanda -0.32 0 NA
63 hsa-miR-140-5p DHRS4L1 -0.76 0 -0.1 0.44303 miRanda -0.21 0 NA
64 hsa-miR-34a-5p DLL1 0.13 0.13326 -0.95 0 miRTarBase -0.18 0.0003 22438124 Delta tocotrienol suppresses Notch 1 pathway by upregulating miR 34a in nonsmall cell lung cancer cells
65 hsa-miR-140-5p DNAH14 -0.76 0 1.8 0 miRanda -0.21 0 NA
66 hsa-miR-140-5p DNAH7 -0.76 0 -0.38 0.0511 miRanda -0.32 0 NA
67 hsa-miR-140-5p DNAJA4 -0.76 0 0.78 0 miRanda -0.22 0 NA
68 hsa-miR-140-5p DNMBP -0.76 0 -0.67 0 miRanda -0.1 0.01111 NA
69 hsa-miR-152-3p DNMT1 -0.27 0.00639 1.04 0 miRTarBase -0.16 0 27475839; 21868754; 25004396; 20578129; 24998573; 23318422 mRNA and protein expression profile of DNMT1 implicate that miR-152 targets DNMT1 mRNA and inhibits its protein expression; Further experiments revealed that DNMT1 plays crucial role for regulation of miR-152 gene; When DNMT1 protein function is blocked miR-152 expression prevails and destroys the mRNA of DNMT1; this molecular regulatory mechanism is creating a cyclic feedback loop which is now focused as DNMT1/miR-152 switch for on/off of DNMT1 target genes; We have demonstrated further that DNMT1 down regulation mediated upregulation of CDH1 hereafter DNMT1/CDH1 loop in presence of ectopic-excess of miR-152 prevents migration of cancer cells;Epigenetic silencing documented in miR-152 was consistent with its location at 17q21.32 in intron 1 of the COPZ2 gene which is also silenced often in endometrial cancer by DNA hypermethylation and also with evidence that miR-152 targets the DNA methyltransferase DNMT1;There appeared to be a reciprocal regulatory relationship of miR-152/DNMT1 expression as cells treated with siRNA DNMT1 caused miR-152 to be re-expressed in all cell lines;Our results showed that the expression of microRNA-152 miR-152 was frequently down-regulated in HBV-related HCC tissues in comparison with adjacent noncancerous hepatic tissues and was inversely correlated to DNA methyltransferase 1 DNMT1 messenger RNA mRNA expression in HBV-related HCCs; The forced expression of miR-152 in liver cell lines resulted in a marked reduction of the expression of DNMT1 at both the mRNA and protein levels by directly targeting the 3' untranslated regions of DNMT1; Our findings suggest that miR-152 is frequently down-regulated and regulates DNMT1 in HBV-related HCC;Furthermore Western blotting showed that the miR-152 mimic downregulated Wnt-1 DNMT1 ERK1/2 AKT and TNFRS6B signaling;MiR 152 and miR 185 co contribute to ovarian cancer cells cisplatin sensitivity by targeting DNMT1 directly: a novel epigenetic therapy independent of decitabine; The overexpression of miR-152 or miR-185 increased cisplatin sensitivity of SKOV3/DDP and A2780/DDP cells by inhibiting proliferation and promoting apoptosis then we further confirmed that these miRNAs functioned through suppressing DNA methyltransferase 1 DNMT1 directly; Our results indicated that miR-152 and miR-185 were involved in ovarian cancer cisplatin resistance in vitro and in vivo by targeting DNMT1 directly
70 hsa-miR-140-5p DNPEP -0.76 0 0.47 0 miRTarBase -0.16 0 NA
71 hsa-miR-140-5p DPP9 -0.76 0 0.84 0 miRanda -0.19 0 NA
72 hsa-miR-140-5p EARS2 -0.76 0 0.69 0 miRanda -0.2 0 NA
73 hsa-miR-140-5p ECHDC2 -0.76 0 -0.58 0 miRanda -0.16 1.0E-5 NA
74 hsa-miR-140-5p ECM1 -0.76 0 1.1 0 miRanda -0.31 0 NA
75 hsa-miR-140-5p EFCAB2 -0.76 0 -0.08 0.43842 miRanda -0.14 4.0E-5 NA
76 hsa-miR-140-5p EFHC2 -0.76 0 0.35 0.08676 miRanda -0.18 0.00997 NA
77 hsa-miR-140-5p EFNA4 -0.76 0 1.37 0 miRanda -0.17 0.0001 NA
78 hsa-miR-140-5p EFR3B -0.76 0 0.73 0 miRanda -0.14 0.00814 NA
79 hsa-miR-140-5p EGLN3 -0.76 0 1.25 0 miRanda -0.31 0 NA
80 hsa-miR-140-5p EHMT2 -0.76 0 0.76 0 miRanda -0.13 0 NA
81 hsa-miR-140-5p ELOVL2 -0.76 0 0.23 0.46728 miRanda -0.41 8.0E-5 NA
82 hsa-miR-140-5p ELOVL5 -0.76 0 -0.3 0.02147 miRanda -0.14 0.00126 NA
83 hsa-miR-140-5p ENOSF1 -0.76 0 -0.05 0.53098 miRanda -0.1 9.0E-5 NA
84 hsa-miR-140-5p ENPP5 -0.76 0 0.73 0.00025 miRanda -0.37 0 NA
85 hsa-miR-140-5p ENTPD5 -0.76 0 -0.34 0.01596 miRanda -0.15 0.00128 NA
86 hsa-miR-140-5p EPB41L4A -0.76 0 -0.67 0 miRanda -0.14 0.00095 NA
87 hsa-miR-140-5p EPN2 -0.76 0 -0.03 0.69538 miRanda -0.12 0 NA
88 hsa-miR-140-5p ERI2 -0.76 0 0.37 1.0E-5 miRanda -0.2 0 NA
89 hsa-miR-140-5p EVPL -0.76 0 2.22 0 miRanda -0.41 0 NA
90 hsa-miR-140-5p EXOC6 -0.76 0 0.31 0.00088 miRanda -0.2 0 NA
91 hsa-miR-140-5p FAHD1 -0.76 0 0.78 0 miRanda -0.19 0 NA
92 hsa-miR-140-5p FAM102A -0.76 0 1.24 0 miRanda -0.31 0 NA
93 hsa-miR-140-5p FAM134A -0.76 0 0.26 0 miRanda -0.1 0 NA
94 hsa-miR-140-5p FAM189A1 -0.76 0 0.34 0.19931 miRanda -0.23 0.0088 NA
95 hsa-miR-140-5p FKBP10 -0.76 0 1.22 0 miRanda -0.28 0 NA
96 hsa-miR-140-5p FKBP4 -0.76 0 1.52 0 miRanda -0.36 0 NA
97 hsa-miR-140-5p FLVCR1 -0.76 0 1.31 0 miRanda -0.16 1.0E-5 NA
98 hsa-miR-140-5p FNIP1 -0.76 0 -0.24 0.00277 miRanda -0.1 0.00018 NA
99 hsa-miR-140-5p FRS2 -0.76 0 -0.15 0.1727 miRanda -0.11 0.00361 NA
100 hsa-miR-140-5p FSTL4 -0.76 0 1.62 0 miRanda -0.58 0 NA
101 hsa-miR-140-5p GALNT6 -0.76 0 1.53 0 miRanda -0.71 0 NA
102 hsa-miR-140-5p GAS8 -0.76 0 0.32 3.0E-5 miRanda -0.11 1.0E-5 NA
103 hsa-miR-140-5p GATA3 -0.76 0 1.56 0 miRanda -0.91 0 NA
104 hsa-miR-140-5p GCM1 -0.76 0 0.36 0.13457 miRanda -0.33 3.0E-5 NA
105 hsa-miR-140-5p GDE1 -0.76 0 0.35 0 miRanda -0.14 0 NA
106 hsa-miR-140-5p GIGYF1 -0.76 0 0.13 0.12556 miRanda -0.16 0 NA
107 hsa-miR-140-5p GINS1 -0.76 0 2.31 0 miRanda -0.11 0.01786 NA
108 hsa-miR-140-5p GLI3 -0.76 0 -0.34 0.01072 miRanda -0.28 0 NA
109 hsa-miR-140-5p GLRX5 -0.76 0 0.41 0 miRanda -0.13 0 NA
110 hsa-miR-140-5p GLS2 -0.76 0 0.14 0.43815 miRanda -0.36 0 NA
111 hsa-miR-140-5p GLUL -0.76 0 0.09 0.39345 miRanda -0.19 0 NA
112 hsa-miR-140-5p GNPTG -0.76 0 0.44 0 miRanda -0.22 0 NA
113 hsa-miR-140-5p GPD1L -0.76 0 -0.94 0 miRanda -0.14 0.00032 NA
114 hsa-miR-140-5p GRIK4 -0.76 0 0.9 0.00051 miRanda -0.62 0 NA
115 hsa-miR-140-5p GRIPAP1 -0.76 0 0.58 0 miRanda -0.15 0 NA
116 hsa-miR-194-5p HBEGF 0.47 0 -1.07 0 miRTarBase -0.13 0.00361 NA
117 hsa-miR-140-5p HDAC7 -0.76 0 -0.1 0.10388 miRanda -0.15 0 NA
118 hsa-miR-140-5p HDC -0.76 0 -0.97 0.00011 miRanda -0.36 1.0E-5 NA
119 hsa-miR-152-3p HLA-G -0.27 0.00639 0.48 0.01437 miRTarBase -0.19 0.00481 26187665; 26627200 Long non coding RNA HOTAIR promotes HLA G expression via inhibiting miR 152 in gastric cancer cells; On the other hand bioinformatics analysis indicated the interaction between HOTAIR and miR-152 which shows potential regulation on HLA-G; Therefore it was concluded that HOTAIR overexpression might also get involved in tumor escape mechanisms involving HLA-G upregulation via inhibiting miR-152;TGF β induces HLA G expression through inhibiting miR 152 in gastric cancer cells; This study aims to verify the correlations between HLA-G and TGF-β involving the potential targeting of miR-152 on HLA-G; Furthermore miR-152 expression could be inhibited by TGF-β and the negative post-transcriptionally regulation of miR-152 on HLA-G was also demonstrated through gain- and loss-of-function studies; Besides miR-152 overexpression repressed HLA-G up-regulation induced by TGF-β; And miR-152 expression levels showed inversely proportional to both HLA-G and also TGF-β levels in GC patients; TGF-β could induce HLA-G expression in GC by inhibiting miR-152 involving its negative regulation on HLA-G; Since TGF-β induced HLA-G up-regulation plays important role in immune escape a potential application of miR-152 was suggested in GC treatment or miR-152 might be one potential biomarker for GC
120 hsa-miR-140-5p HMGCL -0.76 0 0.12 0.0987 miRanda -0.14 0 NA
121 hsa-miR-140-5p HMGN1 -0.76 0 0.99 0 miRanda -0.13 0 NA
122 hsa-miR-140-5p HNRNPM -0.76 0 0.54 0 miRanda -0.12 0 NA
123 hsa-miR-140-5p HOMEZ -0.76 0 0.25 0.00053 miRanda -0.19 0 NA
124 hsa-miR-140-5p HOPX -0.76 0 1.12 0 miRanda -0.14 0.00126 NA
125 hsa-miR-140-5p HOXB3 -0.76 0 -0.09 0.64242 miRanda -0.34 0 NA
126 hsa-miR-140-5p IGFBP2 -0.76 0 0.6 0.0011 miRanda -0.41 0 NA
127 hsa-miR-140-5p IGSF3 -0.76 0 0.89 0 miRanda -0.11 0.00365 NA
128 hsa-miR-140-5p IKBKG -0.76 0 0.49 0 miRanda -0.13 0 NA
129 hsa-miR-140-5p IL11 -0.76 0 2.05 0 miRanda -0.29 0 NA
130 hsa-miR-140-5p IPPK -0.76 0 0.76 0 miRanda -0.13 0 NA
131 hsa-miR-140-5p IQCH -0.76 0 0.32 0.00965 miRanda -0.28 0 NA
132 hsa-miR-194-5p ITGA9 0.47 0 -1.81 0 miRTarBase -0.12 0.04781 NA
133 hsa-miR-140-5p IYD -0.76 0 1.08 0.00195 miRanda -0.52 1.0E-5 NA
134 hsa-miR-34a-5p JAG1 0.13 0.13326 -0.64 0 miRTarBase -0.11 0.00421 NA
135 hsa-miR-140-5p KCNC1 -0.76 0 -0.42 0.12578 miRanda -0.31 0.00065 NA
136 hsa-miR-140-5p KCNJ3 -0.76 0 1.14 0.02149 miRanda -0.73 1.0E-5 NA
137 hsa-miR-140-5p KCNK6 -0.76 0 1.3 0 miRanda -0.38 0 NA
138 hsa-miR-140-5p KCTD11 -0.76 0 0.11 0.07227 miRanda -0.12 0 NA
139 hsa-miR-140-5p KCTD3 -0.76 0 0.42 4.0E-5 miRanda -0.21 0 NA
140 hsa-miR-140-5p KIAA0040 -0.76 0 0.37 0.00181 miRanda -0.24 0 NA
141 hsa-miR-140-5p KIF3A -0.76 0 0.22 0.01171 miRanda -0.14 0 NA
142 hsa-miR-140-5p KIF4A -0.76 0 4.44 0 miRanda -0.23 0.00174 NA
143 hsa-miR-34a-5p KLB 0.13 0.13326 -4.4 0 miRTarBase -0.23 0.01748 NA
144 hsa-miR-140-5p LINGO4 -0.76 0 0.12 0.55551 miRanda -0.25 0.0002 NA
145 hsa-miR-140-5p LNX2 -0.76 0 0.33 9.0E-5 miRanda -0.13 0 NA
146 hsa-miR-140-5p LRBA -0.76 0 0.32 0.00275 miRanda -0.21 0 NA
147 hsa-miR-140-5p LRP2 -0.76 0 -0.81 0.04663 miRanda -0.53 0.0001 NA
148 hsa-miR-140-5p LRP2BP -0.76 0 -0.39 6.0E-5 miRanda -0.12 0.00034 NA
149 hsa-miR-140-5p LRRC1 -0.76 0 0.85 0 miRanda -0.14 0 NA
150 hsa-miR-140-5p LRRC15 -0.76 0 3.53 0 miRanda -0.34 3.0E-5 NA

Over-represented Gene Ontology Biological Process

NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Hedgehog_signaling_pathway_hsa04340 4 47 0.006464 0.1695
2 Apoptosis_hsa04210 7 138 0.006521 0.1695
3 Cellular_senescence_hsa04218 7 160 0.01402 0.1969
4 Apoptosis_multiple_species_hsa04215 3 33 0.01515 0.1969
5 PI3K_Akt_signaling_pathway_hsa04151 11 352 0.02536 0.2638
6 Peroxisome_hsa04146 4 83 0.04294 0.3314
7 Jak_STAT_signaling_pathway_hsa04630 6 162 0.04462 0.3314
8 NF_kappa_B_signaling_pathway_hsa04064 4 95 0.06441 0.3947
9 Wnt_signaling_pathway_hsa04310 5 146 0.08308 0.3947
10 TNF_signaling_pathway_hsa04668 4 108 0.09287 0.3947
11 p53_signaling_pathway_hsa04115 3 68 0.09337 0.3947
12 Endocytosis_hsa04144 7 244 0.09439 0.3947
13 Hippo_signaling_pathway_hsa04390 5 154 0.09868 0.3947
14 Rap1_signaling_pathway_hsa04015 6 206 0.1103 0.4095
15 AMPK_signaling_pathway_hsa04152 4 121 0.1263 0.4378
16 Gap_junction_hsa04540 3 88 0.1637 0.5018
17 Ras_signaling_pathway_hsa04014 6 232 0.164 0.5018
18 Notch_signaling_pathway_hsa04330 2 48 0.1764 0.5096
19 MAPK_signaling_pathway_hsa04010 7 295 0.1893 0.5181
20 Focal_adhesion_hsa04510 5 199 0.2093 0.524
21 HIF_1_signaling_pathway_hsa04066 3 100 0.2116 0.524
22 cGMP_PKG_signaling_pathway_hsa04022 4 163 0.2593 0.5743
23 Necroptosis_hsa04217 4 164 0.2628 0.5743
24 Tight_junction_hsa04530 4 170 0.2838 0.5743
25 Lysosome_hsa04142 3 123 0.3095 0.5743
26 Cell_cycle_hsa04110 3 124 0.3138 0.5743
27 Oocyte_meiosis_hsa04114 3 124 0.3138 0.5743
28 Adherens_junction_hsa04520 2 72 0.3165 0.5743
29 Autophagy_animal_hsa04140 3 128 0.3312 0.5743
30 FoxO_signaling_pathway_hsa04068 3 132 0.3485 0.5743
31 Signaling_pathways_regulating_pluripotency_of_stem_cells_hsa04550 3 139 0.3787 0.5743
32 cAMP_signaling_pathway_hsa04024 4 198 0.3841 0.5743
33 TGF_beta_signaling_pathway_hsa04350 2 84 0.3854 0.5743
34 ErbB_signaling_pathway_hsa04012 2 85 0.391 0.5743
35 Cell_adhesion_molecules_.CAMs._hsa04514 3 145 0.4044 0.5743
36 Phospholipase_D_signaling_pathway_hsa04072 3 146 0.4086 0.5743
37 Phosphatidylinositol_signaling_system_hsa04070 2 99 0.467 0.639
38 Calcium_signaling_pathway_hsa04020 3 182 0.5531 0.719
39 Cytokine_cytokine_receptor_interaction_hsa04060 4 270 0.6226 0.7642
40 Apelin_signaling_pathway_hsa04371 2 137 0.6417 0.7642
41 Regulation_of_actin_cytoskeleton_hsa04810 3 208 0.6434 0.7642
42 mTOR_signaling_pathway_hsa04150 2 151 0.6937 0.7881
43 Phagosome_hsa04145 2 152 0.6971 0.7881
44 Neuroactive_ligand_receptor_interaction_hsa04080 2 278 0.9368 0.9941

Quest ID: 21de4083a35d63a8ac633dea92e36592