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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-152-3p ABCD3 -0.27 0.00639 0.36 0.0002 MirTarget -0.15 1.0E-5 NA
3 hsa-miR-140-5p ABHD1 -0.76 0 -0.98 0 miRanda -0.13 0.01184 NA
4 hsa-miR-34a-5p ABHD2 0.13 0.13326 0.45 0.00053 mirMAP -0.12 0.01835 NA
5 hsa-miR-34a-5p ACSL4 0.13 0.13326 -1.48 0 MirTarget; miRNATAP -0.11 0.02677 NA
6 hsa-miR-34a-5p ADAM22 0.13 0.13326 -1.22 0 MirTarget; miRNATAP -0.33 5.0E-5 NA
7 hsa-miR-140-5p ADAMTS13 -0.76 0 0.49 0.00058 mirMAP -0.38 0 NA
8 hsa-miR-152-3p ADAMTS19 -0.27 0.00639 0.71 0.02881 MirTarget -0.36 0.00184 NA
9 hsa-miR-140-5p ADCY1 -0.76 0 -0.05 0.84149 mirMAP -0.43 0 NA
10 hsa-miR-34a-5p ADCY1 0.13 0.13326 -0.05 0.84149 mirMAP -0.24 0.01304 NA
11 hsa-miR-140-5p ADCY6 -0.76 0 -0.63 0 MirTarget; PITA; miRanda; miRNATAP -0.16 0 NA
12 hsa-miR-34a-5p AKAP13 0.13 0.13326 -0.61 0 mirMAP -0.11 0.0002 NA
13 hsa-miR-34a-5p AKAP6 0.13 0.13326 -2.28 0 MirTarget -0.13 0.0257 NA
14 hsa-miR-140-5p ALOX15B -0.76 0 -0.75 0.01908 miRanda -0.25 0.0205 NA
15 hsa-miR-34a-5p ALX4 0.13 0.13326 -3.22 0 mirMAP -0.47 2.0E-5 NA
16 hsa-miR-140-5p AMACR -0.76 0 0.53 0 miRanda -0.15 0 NA
17 hsa-miR-34a-5p ANK2 0.13 0.13326 -2.51 0 MirTarget; miRNATAP -0.32 0 NA
18 hsa-miR-34a-5p ANK3 0.13 0.13326 -0.03 0.84332 miRNATAP -0.14 0.00547 NA
19 hsa-miR-140-5p ANKRD42 -0.76 0 0.22 0.01213 MirTarget; miRanda -0.21 0 NA
20 hsa-miR-140-5p ANKRD52 -0.76 0 0.23 0.00024 PITA; miRanda; miRNATAP -0.12 0 NA
21 hsa-miR-34a-5p ANKS1A 0.13 0.13326 -0.37 0 MirTarget -0.1 2.0E-5 NA
22 hsa-miR-140-5p ANKS1B -0.76 0 0.2 0.2194 miRanda -0.32 0 NA
23 hsa-miR-140-5p AP1AR -0.76 0 0.37 0 miRanda -0.11 2.0E-5 NA
24 hsa-miR-140-5p AP2B1 -0.76 0 0.26 0.00183 PITA; miRanda -0.13 0 NA
25 hsa-miR-140-5p ARFIP2 -0.76 0 0.83 0 PITA; miRanda -0.3 0 NA
26 hsa-miR-34a-5p ARHGAP19 0.13 0.13326 -0.97 0 mirMAP -0.11 0.00019 NA
27 hsa-miR-140-5p ARHGAP32 -0.76 0 0.43 9.0E-5 miRanda -0.19 0 NA
28 hsa-miR-140-5p ARHGEF18 -0.76 0 0.6 0 miRanda -0.11 0 NA
29 hsa-miR-34a-5p ARHGEF33 0.13 0.13326 -0.66 0 MirTarget -0.1 0.03642 NA
30 hsa-miR-140-5p ARMC9 -0.76 0 1.05 0 miRanda -0.26 0 NA
31 hsa-miR-140-5p ARV1 -0.76 0 0.72 0 miRanda -0.13 0 NA
32 hsa-miR-34a-5p ASTN1 0.13 0.13326 -2.96 0 MirTarget -0.54 0 NA
33 hsa-miR-34a-5p ASXL2 0.13 0.13326 -0.86 0 MirTarget -0.17 0.00682 NA
34 hsa-miR-140-5p ATG4B -0.76 0 0.43 0 miRanda -0.11 0 NA
35 hsa-miR-140-5p ATP6V1G1 -0.76 0 0.81 0 miRanda -0.17 0 NA
36 hsa-miR-140-5p B3GALT6 -0.76 0 0.69 0 miRanda -0.16 0 NA
37 hsa-miR-140-5p BBC3 -0.76 0 1.65 0 miRNATAP -0.47 0 NA
38 hsa-miR-140-5p BBS4 -0.76 0 0.09 0.27948 miRanda -0.15 0 NA
39 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
40 hsa-miR-140-5p BCL2L1 -0.76 0 0.52 0 PITA; miRanda; miRNATAP -0.18 0 NA
41 hsa-miR-140-5p BCL9 -0.76 0 1.09 0 MirTarget; PITA; miRanda; miRNATAP -0.21 0 NA
42 hsa-miR-140-5p BMP8A -0.76 0 2.55 0 miRanda -0.17 0.00068 NA
43 hsa-miR-34a-5p BNC2 0.13 0.13326 -0.78 0 miRNATAP -0.13 0.03676 NA
44 hsa-miR-140-5p BRD8 -0.76 0 0.07 0.22169 miRanda -0.11 0 NA
45 hsa-miR-34a-5p BRPF3 0.13 0.13326 0.09 0.20587 MirTarget; miRNATAP -0.12 3.0E-5 NA
46 hsa-miR-140-5p BSN -0.76 0 -0.24 0.13233 mirMAP -0.15 0.0064 NA
47 hsa-miR-34a-5p C17orf51 0.13 0.13326 -1.38 0 mirMAP -0.18 0.00028 NA
48 hsa-miR-34a-5p C1orf21 0.13 0.13326 -0.47 0.00106 mirMAP -0.15 0.01067 NA
49 hsa-miR-152-3p CABP7 -0.27 0.00639 1.18 0 MirTarget -0.2 0.00095 NA
50 hsa-miR-34a-5p CACHD1 0.13 0.13326 -2.57 0 MirTarget -0.38 0 NA
51 hsa-miR-140-5p CADPS -0.76 0 1.86 0 miRanda -0.29 2.0E-5 NA
52 hsa-miR-140-5p CAMK2N1 -0.76 0 0.27 0.07667 PITA; miRanda -0.29 0 NA
53 hsa-miR-140-5p CAPN1 -0.76 0 0.6 0 miRanda; miRNATAP -0.12 0 NA
54 hsa-miR-34a-5p CAPN6 0.13 0.13326 -3.62 0 miRNATAP -0.8 0 NA
55 hsa-miR-140-5p CARD10 -0.76 0 -0.48 6.0E-5 miRanda -0.13 0.00133 NA
56 hsa-miR-140-5p CASC1 -0.76 0 0.07 0.72877 miRanda -0.54 0 NA
57 hsa-miR-140-5p CBWD3 -0.76 0 0.89 0 miRanda -0.2 0 NA
58 hsa-miR-140-5p CC2D1A -0.76 0 0.42 0 miRanda -0.16 0 NA
59 hsa-miR-140-5p CCDC120 -0.76 0 0.74 0 miRanda -0.15 0 NA
60 hsa-miR-140-5p CCDC13 -0.76 0 -0.04 0.76305 miRanda -0.12 0.00611 NA
61 hsa-miR-140-5p CCDC30 -0.76 0 0.19 0.10313 miRanda -0.29 0 NA
62 hsa-miR-34a-5p CCDC50 0.13 0.13326 -1.33 0 miRNATAP -0.11 0.00025 NA
63 hsa-miR-140-5p CCDC78 -0.76 0 3.58 0 miRanda -0.82 0 NA
64 hsa-miR-140-5p CCNB1 -0.76 0 2.42 0 miRanda -0.15 0.00114 NA
65 hsa-miR-140-5p CCNF -0.76 0 1.72 0 miRanda -0.21 0 NA
66 hsa-miR-140-5p CD276 -0.76 0 0.96 0 miRanda -0.1 1.0E-5 NA
67 hsa-miR-140-5p CD46 -0.76 0 0.22 0.00794 miRanda -0.14 0 NA
68 hsa-miR-140-5p CDHR3 -0.76 0 -0.46 0.04587 miRanda -0.2 0.01135 NA
69 hsa-miR-140-5p CDK1 -0.76 0 3.03 0 miRanda -0.14 0.01652 NA
70 hsa-miR-34a-5p CDKN1C 0.13 0.13326 -2.11 0 miRNATAP -0.28 0 NA
71 hsa-miR-140-5p CDKN3 -0.76 0 3.05 0 miRanda -0.14 0.01639 NA
72 hsa-miR-140-5p CEACAM6 -0.76 0 3.15 0 miRanda -0.72 0 NA
73 hsa-miR-34a-5p CELF2 0.13 0.13326 -2.12 0 miRNATAP -0.14 0.01317 NA
74 hsa-miR-140-5p CELF3 -0.76 0 2.06 0 miRanda -0.55 0 NA
75 hsa-miR-152-3p CELSR1 -0.27 0.00639 1.62 0 MirTarget -0.24 0.0001 NA
76 hsa-miR-152-3p CEP55 -0.27 0.00639 3.48 0 MirTarget -0.15 0.0288 NA
77 hsa-miR-140-5p CERCAM -0.76 0 1.06 0 miRanda; miRNATAP -0.25 0 NA
78 hsa-miR-140-5p CHST15 -0.76 0 0.52 0 miRanda -0.23 0 NA
79 hsa-miR-140-5p CLEC5A -0.76 0 2.97 0 miRanda -0.14 0.03363 NA
80 hsa-miR-34a-5p CLOCK 0.13 0.13326 -0.44 0.00109 MirTarget -0.11 0.04508 NA
81 hsa-miR-34a-5p CNTN2 0.13 0.13326 -1.15 0 MirTarget; miRNATAP -0.27 0.00433 NA
82 hsa-miR-152-3p COL2A1 -0.27 0.00639 -0.25 0.56528 MirTarget -0.3 0.04906 NA
83 hsa-miR-140-5p COPG2 -0.76 0 0.25 0.00034 miRanda -0.13 0 NA
84 hsa-miR-140-5p COQ4 -0.76 0 0.53 0 miRanda -0.25 0 NA
85 hsa-miR-140-5p CORIN -0.76 0 2 0 miRanda -0.34 0 NA
86 hsa-miR-140-5p CORO2A -0.76 0 1.38 0 MirTarget; miRanda; miRNATAP -0.29 0 NA
87 hsa-miR-34a-5p CR2 0.13 0.13326 -0.58 0.1206 MirTarget -0.33 0.0271 NA
88 hsa-miR-140-5p CREB3L1 -0.76 0 1.98 0 MirTarget; miRanda; miRNATAP -0.45 0 NA
89 hsa-miR-140-5p CREB3L4 -0.76 0 1.73 0 miRanda -0.57 0 NA
90 hsa-miR-140-5p CROT -0.76 0 0.04 0.77707 miRNATAP -0.28 0 NA
91 hsa-miR-34a-5p CRY2 0.13 0.13326 -1.2 0 MirTarget -0.13 7.0E-5 NA
92 hsa-miR-140-5p CST9L -0.76 0 0.9 0.00141 miRanda -0.54 0 NA
93 hsa-miR-34a-5p CTDSP2 0.13 0.13326 -0.73 0 miRNATAP -0.14 0 NA
94 hsa-miR-140-5p CTSF -0.76 0 -0.45 5.0E-5 miRanda -0.15 4.0E-5 NA
95 hsa-miR-140-5p CUEDC1 -0.76 0 0.54 0 PITA; miRanda -0.19 0 NA
96 hsa-miR-140-5p CXXC4 -0.76 0 -0.35 0.08009 miRanda -0.13 0.04681 NA
97 hsa-miR-140-5p CYB5D1 -0.76 0 -0.14 0.07571 miRanda -0.15 0 NA
98 hsa-miR-140-5p CYTH2 -0.76 0 0.7 0 MirTarget; miRanda; miRNATAP -0.27 0 NA
99 hsa-miR-34a-5p DAPK2 0.13 0.13326 -1.03 0 MirTarget -0.1 0.02207 27704360 E2F 1 promotes DAPK2 induced anti tumor immunity of gastric cancer cells by targeting miR 34a
100 hsa-miR-140-5p DCDC1 -0.76 0 0.96 5.0E-5 PITA; miRanda -0.52 0 NA
101 hsa-miR-140-5p DCDC2 -0.76 0 -1.86 0 miRanda -0.2 0.0478 NA
102 hsa-miR-34a-5p DCX 0.13 0.13326 -2.75 0 MirTarget; miRNATAP -0.68 0 NA
103 hsa-miR-140-5p DHCR24 -0.76 0 0.77 0 miRanda -0.32 0 NA
104 hsa-miR-140-5p DHRS4L1 -0.76 0 -0.1 0.44303 miRanda -0.21 0 NA
105 hsa-miR-34a-5p DLL1 0.13 0.13326 -0.95 0 miRTarBase; miRNATAP -0.18 0.0003 22438124 Delta tocotrienol suppresses Notch 1 pathway by upregulating miR 34a in nonsmall cell lung cancer cells
106 hsa-miR-152-3p DMPK -0.27 0.00639 0.32 0.00202 MirTarget -0.16 1.0E-5 NA
107 hsa-miR-140-5p DNAH14 -0.76 0 1.8 0 miRanda -0.21 0 NA
108 hsa-miR-140-5p DNAH7 -0.76 0 -0.38 0.0511 miRanda -0.32 0 NA
109 hsa-miR-140-5p DNAJA4 -0.76 0 0.78 0 miRanda -0.22 0 NA
110 hsa-miR-140-5p DNMBP -0.76 0 -0.67 0 miRanda -0.1 0.01111 NA
111 hsa-miR-152-3p DNMT1 -0.27 0.00639 1.04 0 miRTarBase; MirTarget -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
112 hsa-miR-140-5p DNPEP -0.76 0 0.47 0 miRTarBase -0.16 0 NA
113 hsa-miR-140-5p DPP9 -0.76 0 0.84 0 miRanda -0.19 0 NA
114 hsa-miR-140-5p DUSP16 -0.76 0 -0 0.97223 miRNATAP -0.17 0 NA
115 hsa-miR-140-5p EARS2 -0.76 0 0.69 0 miRanda -0.2 0 NA
116 hsa-miR-140-5p ECHDC2 -0.76 0 -0.58 0 miRanda -0.16 1.0E-5 NA
117 hsa-miR-140-5p ECM1 -0.76 0 1.1 0 miRanda -0.31 0 NA
118 hsa-miR-34a-5p EDAR 0.13 0.13326 -2.79 0 miRNATAP -0.46 4.0E-5 NA
119 hsa-miR-140-5p EFCAB2 -0.76 0 -0.08 0.43842 miRanda -0.14 4.0E-5 NA
120 hsa-miR-140-5p EFHC2 -0.76 0 0.35 0.08676 miRanda -0.18 0.00997 NA
121 hsa-miR-140-5p EFNA4 -0.76 0 1.37 0 PITA; miRanda -0.17 0.0001 NA
122 hsa-miR-34a-5p EFNB3 0.13 0.13326 -1.46 0 miRNATAP -0.22 0.00215 NA
123 hsa-miR-140-5p EFR3B -0.76 0 0.73 0 miRanda -0.14 0.00814 NA
124 hsa-miR-140-5p EGLN3 -0.76 0 1.25 0 miRanda -0.31 0 NA
125 hsa-miR-140-5p EHMT2 -0.76 0 0.76 0 miRanda -0.13 0 NA
126 hsa-miR-140-5p ELOVL2 -0.76 0 0.23 0.46728 miRanda -0.41 8.0E-5 NA
127 hsa-miR-140-5p ELOVL5 -0.76 0 -0.3 0.02147 miRanda -0.14 0.00126 NA
128 hsa-miR-140-5p ENOSF1 -0.76 0 -0.05 0.53098 miRanda -0.1 9.0E-5 NA
129 hsa-miR-140-5p ENPP5 -0.76 0 0.73 0.00025 miRanda -0.37 0 NA
130 hsa-miR-140-5p ENSA -0.76 0 0.72 0 PITA -0.18 0 NA
131 hsa-miR-140-5p ENTPD5 -0.76 0 -0.34 0.01596 MirTarget; miRanda -0.15 0.00128 NA
132 hsa-miR-140-5p EPB41L4A -0.76 0 -0.67 0 miRanda -0.14 0.00095 NA
133 hsa-miR-34a-5p EPHA4 0.13 0.13326 -1.55 0 miRNATAP -0.15 0.00985 NA
134 hsa-miR-140-5p EPN2 -0.76 0 -0.03 0.69538 miRanda -0.12 0 NA
135 hsa-miR-140-5p ERBB4 -0.76 0 -0.95 0.00612 PITA -0.68 0 NA
136 hsa-miR-34a-5p ERC1 0.13 0.13326 -0.36 0 mirMAP; miRNATAP -0.15 0 NA
137 hsa-miR-140-5p ERI2 -0.76 0 0.37 1.0E-5 miRanda -0.2 0 NA
138 hsa-miR-34a-5p EVC 0.13 0.13326 -0.7 0 mirMAP -0.11 0.01474 NA
139 hsa-miR-140-5p EVPL -0.76 0 2.22 0 miRanda -0.41 0 NA
140 hsa-miR-140-5p EXOC6 -0.76 0 0.31 0.00088 miRanda -0.2 0 NA
141 hsa-miR-34a-5p F2RL2 0.13 0.13326 1.83 0 MirTarget; miRNATAP -0.27 0.00474 NA
142 hsa-miR-140-5p FAHD1 -0.76 0 0.78 0 miRanda -0.19 0 NA
143 hsa-miR-140-5p FAM102A -0.76 0 1.24 0 PITA; miRanda; miRNATAP -0.31 0 NA
144 hsa-miR-34a-5p FAM117B 0.13 0.13326 0.06 0.3918 MirTarget -0.13 0 NA
145 hsa-miR-140-5p FAM134A -0.76 0 0.26 0 miRanda -0.1 0 NA
146 hsa-miR-34a-5p FAM168A 0.13 0.13326 -0.6 0 mirMAP -0.19 0.00014 NA
147 hsa-miR-140-5p FAM189A1 -0.76 0 0.34 0.19931 miRanda -0.23 0.0088 NA
148 hsa-miR-34a-5p FAM53B 0.13 0.13326 0.27 0.00126 mirMAP -0.16 0 NA
149 hsa-miR-34a-5p FAT3 0.13 0.13326 -1.4 0 miRNATAP -0.18 0.03489 NA
150 hsa-miR-34a-5p FAT4 0.13 0.13326 -2.33 0 MirTarget -0.35 0 NA

Over-represented Gene Ontology Biological Process

NumGOOverlapSizeP ValueAdj. P Value
1 INTRACELLULAR SIGNAL TRANSDUCTION 77 1572 7.143e-09 3.324e-05
2 NEUROGENESIS 69 1402 4.052e-08 9.427e-05
3 REGULATION OF INTRACELLULAR SIGNAL TRANSDUCTION 76 1656 1.365e-07 0.0002117
4 POSITIVE REGULATION OF CELL COMMUNICATION 69 1532 1.105e-06 0.001286
5 REGULATION OF CELL DIFFERENTIATION 67 1492 1.789e-06 0.001486
6 REGULATION OF TRANSPORT 77 1804 1.916e-06 0.001486
7 REGULATION OF HISTONE H3 K9 METHYLATION 6 17 2.266e-06 0.001507
8 REGULATION OF MULTICELLULAR ORGANISMAL DEVELOPMENT 72 1672 3.187e-06 0.001854
9 REGULATION OF MEMBRANE POTENTIAL 24 343 5.937e-06 0.003069
10 MODULATION OF EXCITATORY POSTSYNAPTIC POTENTIAL 7 30 7.046e-06 0.003279
11 REGULATION OF TRANSCRIPTION FROM RNA POLYMERASE II PROMOTER 73 1784 1.594e-05 0.006744
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 PLASMA MEMBRANE REGION 49 929 6.362e-07 0.0003716
2 APICAL PART OF CELL 26 361 1.429e-06 0.0004173
3 APICAL PLASMA MEMBRANE 22 292 4.478e-06 0.0008717
4 MEMBRANE REGION 53 1134 7.874e-06 0.00115
5 NEURON PART 57 1265 1.034e-05 0.001208
6 CELL PROJECTION 73 1786 1.656e-05 0.001612
7 CELL JUNCTION 51 1151 4.815e-05 0.003573
8 NEURON PROJECTION 44 942 4.894e-05 0.003573
9 SOMATODENDRITIC COMPARTMENT 33 650 9.509e-05 0.00617

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Apoptosis_multiple_species_hsa04215 5 33 0.001251 0.06507
2 PI3K_Akt_signaling_pathway_hsa04151 18 352 0.003327 0.0791
3 Rap1_signaling_pathway_hsa04015 12 206 0.005654 0.0791
4 Hedgehog_signaling_pathway_hsa04340 5 47 0.006085 0.0791
5 Ras_signaling_pathway_hsa04014 12 232 0.01379 0.1173
6 MAPK_signaling_pathway_hsa04010 14 295 0.01643 0.1173
7 Peroxisome_hsa04146 6 83 0.01741 0.1173
8 Cellular_senescence_hsa04218 9 160 0.01898 0.1173
9 Apoptosis_hsa04210 8 138 0.02233 0.1173
10 Gap_junction_hsa04540 6 88 0.02257 0.1173
11 p53_signaling_pathway_hsa04115 5 68 0.02713 0.1282
12 NF_kappa_B_signaling_pathway_hsa04064 6 95 0.03137 0.1359
13 Hippo_signaling_pathway_hsa04390 8 154 0.03919 0.1568
14 cGMP_PKG_signaling_pathway_hsa04022 8 163 0.05167 0.1919
15 Phospholipase_D_signaling_pathway_hsa04072 7 146 0.07298 0.253
16 AMPK_signaling_pathway_hsa04152 6 121 0.08206 0.2667
17 Oocyte_meiosis_hsa04114 6 124 0.08979 0.2723
18 Autophagy_animal_hsa04140 6 128 0.1007 0.2723
19 Phosphatidylinositol_signaling_system_hsa04070 5 99 0.1012 0.2723
20 Adherens_junction_hsa04520 4 72 0.1047 0.2723
21 Notch_signaling_pathway_hsa04330 3 48 0.117 0.2898
22 Apelin_signaling_pathway_hsa04371 6 137 0.1276 0.3017
23 Signaling_pathways_regulating_pluripotency_of_stem_cells_hsa04550 6 139 0.134 0.3031
24 Endocytosis_hsa04144 9 244 0.1568 0.3244
25 Wnt_signaling_pathway_hsa04310 6 146 0.1577 0.3244
26 Hippo_signaling_pathway_multiple_species_hsa04392 2 29 0.1622 0.3244
27 Calcium_signaling_pathway_hsa04020 7 182 0.1697 0.3269
28 HIF_1_signaling_pathway_hsa04066 4 100 0.2386 0.4431
29 TNF_signaling_pathway_hsa04668 4 108 0.2824 0.5065
30 TGF_beta_signaling_pathway_hsa04350 3 84 0.3484 0.5614
31 Cytokine_cytokine_receptor_interaction_hsa04060 8 270 0.3592 0.5614
32 cAMP_signaling_pathway_hsa04024 6 198 0.3715 0.5614
33 Cell_cycle_hsa04110 4 124 0.3727 0.5614
34 Focal_adhesion_hsa04510 6 199 0.376 0.5614
35 Jak_STAT_signaling_pathway_hsa04630 5 162 0.3778 0.5614
36 Tight_junction_hsa04530 5 170 0.4173 0.5871
37 FoxO_signaling_pathway_hsa04068 4 132 0.4177 0.5871
38 Cell_adhesion_molecules_.CAMs._hsa04514 4 145 0.4891 0.6693
39 Sphingolipid_signaling_pathway_hsa04071 3 118 0.5662 0.7345
40 Necroptosis_hsa04217 4 164 0.5861 0.7345
41 Lysosome_hsa04142 3 123 0.5944 0.7345
42 ECM_receptor_interaction_hsa04512 2 82 0.6092 0.7345
43 ErbB_signaling_pathway_hsa04012 2 85 0.6288 0.7345
44 Neuroactive_ligand_receptor_interaction_hsa04080 6 278 0.6942 0.768
45 mTOR_signaling_pathway_hsa04150 3 151 0.7293 0.7901
46 Phagosome_hsa04145 2 152 0.8952 0.931
47 Regulation_of_actin_cytoskeleton_hsa04810 2 208 0.9673 0.9863

Quest ID: a441e933150822f2525502ec15211148