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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-93-3p ABHD15 -0.4 0.00131 1.3 0 MirTarget -0.19 0.01073 NA
2 hsa-miR-93-3p ABHD2 -0.4 0.00131 1.2 0 mirMAP -0.29 0 NA
3 hsa-miR-93-3p ACSL1 -0.4 0.00131 2.33 0 miRNAWalker2 validate -0.44 1.0E-5 NA
4 hsa-miR-93-3p ADAMTSL2 -0.4 0.00131 2.68 0 mirMAP -0.38 0.00556 NA
5 hsa-miR-145-5p ADM2 1.48 0 -1.72 0 mirMAP -0.17 0.01295 NA
6 hsa-miR-93-3p AIF1L -0.4 0.00131 -0.76 0.0005 MirTarget -0.2 0.01823 NA
7 hsa-miR-93-3p AKAP11 -0.4 0.00131 0.7 0 MirTarget -0.2 0 NA
8 hsa-miR-145-5p ALDH3A1 1.48 0 -1.6 0.0148 miRNAWalker2 validate -0.42 0.01262 NA
9 hsa-miR-145-5p ANGPT2 1.48 0 -1.15 0 MirTarget; miRNATAP -0.2 6.0E-5 24384875; 27570490 miR 145 functions as tumor suppressor and targets two oncogenes ANGPT2 and NEDD9 in renal cell carcinoma; We further validated those miR-145 targets two oncogenes ANGPT2 and NEDD9 in RCC;MiR 145 functions as a tumor suppressor via regulating angiopoietin 2 in pancreatic cancer cells; The direct action of miR-145 on Ang-2 was predicted by TargetScan and confirmed by luciferase report assay; The expression level of miR-145 was significantly lower and the expression levels of Ang-2 mRNA and protein was significantly higher in the more aggressive pancreatic cancer cells MiaPaCa-2 and Panc-1 when compared to that in BxPC3 cells; Overexpression of miR-145 in the BxPC3 MiaPaCa-2 and Panc-1 cells suppressed the cell invasion and colony formation ability and the expression level of Ang-2 protein in MiaPaCa-2 and Panc-1 cells was also suppressed after pre-miR-145 transfection; Intratumoral delivery of miR-145 inhibited the growth of pancreatic cancer xenografts and angiogenesis in vivo and also suppressed the expression level of angiopoietin-2 protein; MiR-145 functions as a tumor suppressor in pancreatic cancer cells by targeting Ang-2 for translation repression and thus suppresses pancreatic cancer cell invasion and growth which suggests that restoring of miR-145 may be a potential therapeutic target for pancreatic cancer
10 hsa-miR-93-3p ANKFY1 -0.4 0.00131 0.58 0 mirMAP -0.19 0 NA
11 hsa-miR-145-5p ANKRD52 1.48 0 -1.46 0 miRNATAP -0.2 0 NA
12 hsa-miR-93-3p AOAH -0.4 0.00131 1.16 0 MirTarget -0.24 0.01099 NA
13 hsa-miR-93-3p AP3S2 -0.4 0.00131 0.33 4.0E-5 mirMAP -0.14 1.0E-5 NA
14 hsa-miR-145-5p APH1A 1.48 0 -0.33 1.0E-5 miRNAWalker2 validate -0.1 0 NA
15 hsa-miR-93-3p ARID4A -0.4 0.00131 0.9 0 MirTarget -0.12 0.01309 NA
16 hsa-miR-93-3p ARIH1 -0.4 0.00131 0.13 0.06993 MirTarget -0.13 0 NA
17 hsa-miR-93-3p ARSD -0.4 0.00131 1.16 0 mirMAP -0.26 2.0E-5 NA
18 hsa-miR-93-3p ASB7 -0.4 0.00131 0.2 0.00927 miRNATAP -0.11 0.00025 NA
19 hsa-miR-425-3p ATMIN 0.16 0.22372 0.37 0 miRNAWalker2 validate -0.13 0 NA
20 hsa-miR-93-3p ATRN -0.4 0.00131 -0.12 0.34173 MirTarget -0.1 0.03433 NA
21 hsa-miR-145-5p ATXN7L3 1.48 0 -0.7 0 miRNATAP -0.12 0 NA
22 hsa-miR-93-3p BMPR2 -0.4 0.00131 0.74 0 miRNAWalker2 validate -0.19 0 NA
23 hsa-miR-93-3p BNC2 -0.4 0.00131 0.39 0.08973 miRNATAP -0.33 0.00021 NA
24 hsa-miR-145-5p BNIP3 1.48 0 0.57 1.0E-5 miRNAWalker2 validate; miRTarBase -0.1 0.00184 20332243 Artificial overexpression of miR145 by using adenoviral vectors in prostate cancer PC-3 and DU145 cells significantly downregulated BNIP3 together with the upregulation of AIF reduced cell growth and increased cell death; Analysis of prostate cancer n = 134 and benign prostate n = 83 tissue sample showed significantly decreased miR145 and increased BNIP3 expression in prostate cancer P < 0.001 particularly in those with tumor progression and both molecular changes were associated with unfavorable outcome
25 hsa-miR-145-5p BRWD3 1.48 0 -0.1 0.5367 miRNATAP -0.11 0.00504 NA
26 hsa-miR-145-5p BSN 1.48 0 -0.94 2.0E-5 miRNATAP -0.27 0 NA
27 hsa-miR-93-3p C17orf51 -0.4 0.00131 0.67 0.00164 mirMAP -0.22 0.00908 NA
28 hsa-miR-93-3p CACNA1C -0.4 0.00131 -0.95 1.0E-5 mirMAP -0.35 4.0E-5 NA
29 hsa-miR-93-3p CACNB2 -0.4 0.00131 0.29 0.15115 MirTarget; miRNATAP -0.19 0.01446 NA
30 hsa-miR-93-3p CAMK1D -0.4 0.00131 0.4 0.12354 mirMAP -0.45 1.0E-5 NA
31 hsa-miR-93-3p CBR1 -0.4 0.00131 0.13 0.46223 miRNAWalker2 validate -0.29 2.0E-5 NA
32 hsa-miR-93-3p CCDC113 -0.4 0.00131 0.25 0.30312 mirMAP -0.27 0.00318 NA
33 hsa-miR-93-3p CCDC69 -0.4 0.00131 0.78 0 mirMAP -0.24 0.00019 NA
34 hsa-miR-145-5p CDK4 1.48 0 -0.67 0 miRNAWalker2 validate; miRTarBase -0.15 0 21092188 Furthermore we found that CDK4 was regulated by miR-145 in cell cycle control
35 hsa-miR-145-5p CEP78 1.48 0 -0.35 0.00104 mirMAP -0.11 8.0E-5 NA
36 hsa-miR-93-3p CGNL1 -0.4 0.00131 0.69 0.00039 mirMAP -0.21 0.00603 NA
37 hsa-miR-93-3p CLN8 -0.4 0.00131 0.9 0 mirMAP -0.12 0.02383 NA
38 hsa-miR-93-3p COL4A3BP -0.4 0.00131 0.61 0 MirTarget -0.17 0 NA
39 hsa-miR-145-5p COMMD5 1.48 0 -0.84 0 MirTarget -0.16 0 NA
40 hsa-miR-145-5p COMMD9 1.48 0 -0.25 0.00305 MirTarget -0.1 0 NA
41 hsa-miR-93-3p CPEB2 -0.4 0.00131 0.78 0 miRNATAP -0.21 0.00017 NA
42 hsa-miR-93-3p CPNE8 -0.4 0.00131 0.76 0 MirTarget; miRNATAP -0.21 8.0E-5 NA
43 hsa-miR-93-3p CPS1 -0.4 0.00131 2.85 0 MirTarget -1.14 0 NA
44 hsa-miR-93-3p CREB3L3 -0.4 0.00131 1.3 1.0E-5 mirMAP -0.3 0.00933 NA
45 hsa-miR-93-3p CUX1 -0.4 0.00131 0.19 0.03981 mirMAP -0.14 7.0E-5 NA
46 hsa-miR-93-3p CXorf23 -0.4 0.00131 -0.43 1.0E-5 miRNATAP -0.13 0.00046 NA
47 hsa-miR-93-3p DCAF8 -0.4 0.00131 0.03 0.75166 MirTarget -0.15 0 NA
48 hsa-miR-93-3p DDI2 -0.4 0.00131 1.53 0 MirTarget -0.3 0.01958 NA
49 hsa-miR-93-3p DLG2 -0.4 0.00131 1.95 0 MirTarget; miRNATAP -0.55 0 NA
50 hsa-miR-145-5p DNAJB11 1.48 0 -0.85 0 miRNATAP -0.14 0 NA
51 hsa-miR-93-3p DNAJC27 -0.4 0.00131 0.35 0.00026 MirTarget -0.15 8.0E-5 NA
52 hsa-miR-145-5p DNMT3B 1.48 0 -1.62 0 MirTarget -0.23 0 24071015; 25749421 In univariate analysis the combination of DNMT3B overexpression and miR-145 or miR-143 down-regulation was more powerful in predicting shorter survival P < .05 than use of the biomarkers individually P > .05; DNMT3B might be a potential target of miR-145 and miR-143 in ECs; Furthermore the combined miR-145 or miR-143 and DNMT3B status may have a prognostic impact on ECs;It was found that miR-145 upregulates while DNMT3b downregulates in PC3 cells; Responses of the miR-145 and DNMT3b to irradiation are a negative correlation; We also found that either overexpression of miR-145 or knockdown of DNMT3b sensitized prostate cancer cells to X-ray radiation
53 hsa-miR-425-3p DUSP1 0.16 0.22372 2.02 0 MirTarget -0.33 7.0E-5 NA
54 hsa-miR-145-5p EFNA3 1.48 0 -1.75 0 miRNATAP -0.28 0 NA
55 hsa-miR-93-3p EML1 -0.4 0.00131 0.63 0.00019 MirTarget -0.25 0.0002 NA
56 hsa-miR-93-3p EMP2 -0.4 0.00131 0.3 0.02441 mirMAP -0.16 0.0016 NA
57 hsa-miR-93-3p EPHA3 -0.4 0.00131 1.76 0 MirTarget -0.57 0 NA
58 hsa-miR-145-5p ERF 1.48 0 -0.14 0.14928 MirTarget; miRNATAP -0.11 0 NA
59 hsa-miR-145-5p ESCO2 1.48 0 -1.8 0 MirTarget -0.35 0 NA
60 hsa-miR-145-5p FAM104A 1.48 0 -0.38 0 MirTarget -0.14 0 NA
61 hsa-miR-145-5p FAM134A 1.48 0 -0.31 1.0E-5 MirTarget -0.11 0 NA
62 hsa-miR-145-5p FAM49B 1.48 0 -0.71 0 MirTarget -0.11 0.0002 NA
63 hsa-miR-93-3p FETUB -0.4 0.00131 2.8 0 MirTarget -0.49 0.00603 NA
64 hsa-miR-93-3p FGF2 -0.4 0.00131 1.09 0.00032 mirMAP -0.44 0.00021 NA
65 hsa-miR-93-3p FKBP5 -0.4 0.00131 0.23 0.1942 miRNAWalker2 validate -0.22 0.00132 NA
66 hsa-miR-145-5p FLRT1 1.48 0 -1.05 0 MirTarget -0.17 0.0023 NA
67 hsa-miR-93-3p FOSL2 -0.4 0.00131 0.44 0.00385 mirMAP -0.17 0.00339 NA
68 hsa-miR-93-3p FTO -0.4 0.00131 0.23 0.00923 mirMAP -0.18 0 NA
69 hsa-miR-93-3p FYN -0.4 0.00131 1.06 0 miRNAWalker2 validate -0.29 0 NA
70 hsa-miR-93-3p GAB3 -0.4 0.00131 0.34 0.01974 MirTarget -0.21 0.00015 NA
71 hsa-miR-425-3p GABPB2 0.16 0.22372 -0.81 0 miRNAWalker2 validate -0.12 0.02062 NA
72 hsa-miR-145-5p GATC 1.48 0 -0.06 0.6266 MirTarget -0.12 0.00027 NA
73 hsa-miR-93-3p GCAT -0.4 0.00131 0.89 2.0E-5 miRNAWalker2 validate -0.19 0.02432 NA
74 hsa-miR-93-3p GDF2 -0.4 0.00131 8.7 0 MirTarget -0.78 0.00055 NA
75 hsa-miR-93-3p GFOD1 -0.4 0.00131 0.74 0 mirMAP -0.31 0 NA
76 hsa-miR-145-5p GGT7 1.48 0 -0.02 0.84677 MirTarget; miRNATAP -0.11 0.00019 NA
77 hsa-miR-93-3p GIMAP1 -0.4 0.00131 0.32 0.02436 mirMAP -0.3 0 NA
78 hsa-miR-93-3p GIPC3 -0.4 0.00131 -0.21 0.11552 mirMAP -0.27 0 NA
79 hsa-miR-93-3p GLUD1 -0.4 0.00131 1.37 0 miRNAWalker2 validate -0.17 0.01094 NA
80 hsa-miR-93-3p GNAO1 -0.4 0.00131 3.67 0 mirMAP -0.59 0.00022 NA
81 hsa-miR-93-3p GOT2 -0.4 0.00131 1.22 0 miRNAWalker2 validate -0.35 0 NA
82 hsa-miR-93-3p GPD1 -0.4 0.00131 2.61 0 miRNATAP -0.5 0.00014 NA
83 hsa-miR-145-5p GPD2 1.48 0 -0.4 0.00037 miRNATAP -0.1 0.00039 NA
84 hsa-miR-145-5p H2AFX 1.48 0 -1.27 0 MirTarget; miRNATAP -0.25 0 NA
85 hsa-miR-93-3p H6PD -0.4 0.00131 0.16 0.26926 mirMAP -0.13 0.0241 NA
86 hsa-miR-93-3p HACL1 -0.4 0.00131 0.46 0.00012 miRNAWalker2 validate -0.13 0.00694 NA
87 hsa-miR-93-3p HDX -0.4 0.00131 0.73 0.00194 MirTarget -0.27 0.00306 NA
88 hsa-miR-93-3p HEG1 -0.4 0.00131 -0.18 0.20986 mirMAP -0.16 0.00273 NA
89 hsa-miR-93-3p HHIPL1 -0.4 0.00131 0.66 0.00092 mirMAP -0.16 0.04048 NA
90 hsa-miR-145-5p HIC2 1.48 0 -0.94 0 miRNATAP -0.2 0 NA
91 hsa-miR-145-5p HLTF 1.48 0 -0.44 0.00015 miRNAWalker2 validate -0.13 1.0E-5 25666710 We show that miR-145 targets the DNA damage repair-associated gene Helicase-like transcription factor HLTF which is involved in radio-resistance
92 hsa-miR-93-3p HSPG2 -0.4 0.00131 -0.55 0.00034 mirMAP -0.14 0.01567 NA
93 hsa-miR-93-3p IKZF1 -0.4 0.00131 0.97 0 mirMAP -0.22 0.00379 NA
94 hsa-miR-93-3p IKZF2 -0.4 0.00131 0.83 1.0E-5 MirTarget; miRNATAP -0.18 0.01897 NA
95 hsa-miR-93-3p IL6ST -0.4 0.00131 1.92 0 MirTarget -0.54 5.0E-5 NA
96 hsa-miR-145-5p IRS1 1.48 0 0.22 0.13754 miRNAWalker2 validate; miRTarBase; MirTarget -0.15 0.00011 22431718; 24690171; 24762580 Luciferase reporter assay further verified direct target association of miR-145 to specific sites of the IRS1 and IRS2 3'-untranslated regions;MicroRNA 145 suppresses hepatocellular carcinoma by targeting IRS1 and its downstream Akt signaling; We verified IRS1 as a direct target of miR-145 using Western blotting and luciferase reporter assay; Further the restoration of miR-145 in HCC cell lines suppressed cancer cell growth owing to down-regulated IRS1 expression and its downstream Akt/FOXO1 signaling; Our results demonstrated that miR-145 could inhibit HCC through targeting IRS1 and its downstream signaling implicating the loss of miR-145 regulation may be a potential molecular mechanism causing aberrant oncogenic signaling in HCC;IRS-1 was identified as a potential target of miR-145 by dual luciferase reporter assay; Knocking down of IRS-1 had similar effect as overexpression of miR-145 miR-145 might act as a tumor suppressor in uveal melanoma and downregulation of the target IRS-1 might be a potential mechanism
97 hsa-miR-93-3p ITPRIP -0.4 0.00131 0.93 0 miRNAWalker2 validate -0.4 0 NA
98 hsa-miR-93-3p ITSN1 -0.4 0.00131 0.75 0 mirMAP -0.13 0.00255 NA
99 hsa-miR-93-3p KCTD15 -0.4 0.00131 0.04 0.83421 mirMAP -0.16 0.04144 NA
100 hsa-miR-93-3p KIAA1644 -0.4 0.00131 1.81 0 mirMAP -0.51 2.0E-5 NA
101 hsa-miR-93-3p KIAA1671 -0.4 0.00131 0.84 0 miRNAWalker2 validate -0.29 0 NA
102 hsa-miR-93-3p KIRREL -0.4 0.00131 0.92 0.00842 mirMAP -0.35 0.01013 NA
103 hsa-miR-93-3p KLF12 -0.4 0.00131 0.86 0 MirTarget; mirMAP -0.19 0.00134 NA
104 hsa-miR-93-3p KLF9 -0.4 0.00131 1.36 0 miRNATAP -0.53 0 NA
105 hsa-miR-425-3p KLHL15 0.16 0.22372 1.44 0 miRNAWalker2 validate -0.11 0.03077 NA
106 hsa-miR-93-3p KLHL2 -0.4 0.00131 1.17 0 miRNATAP -0.29 0 NA
107 hsa-miR-93-3p KLHL30 -0.4 0.00131 -0.9 0.00135 mirMAP -0.25 0.02301 NA
108 hsa-miR-93-3p KLRD1 -0.4 0.00131 1.83 0 MirTarget -0.39 4.0E-5 NA
109 hsa-miR-93-3p LAX1 -0.4 0.00131 0.86 0.00023 MirTarget -0.19 0.04355 NA
110 hsa-miR-93-3p LCOR -0.4 0.00131 0.83 0.00038 miRNATAP -0.27 0.00308 NA
111 hsa-miR-93-3p LRBA -0.4 0.00131 0.51 0 miRNAWalker2 validate -0.11 0.00994 NA
112 hsa-miR-93-3p LRRC27 -0.4 0.00131 -0.18 0.09935 mirMAP -0.11 0.01055 NA
113 hsa-miR-93-3p LRRC34 -0.4 0.00131 0.13 0.22881 miRNAWalker2 validate -0.1 0.01373 NA
114 hsa-miR-93-3p LYRM7 -0.4 0.00131 0.29 0.00075 mirMAP -0.1 0.00232 NA
115 hsa-miR-145-5p MAGOHB 1.48 0 -0.4 1.0E-5 MirTarget -0.11 0 NA
116 hsa-miR-93-3p MAN1C1 -0.4 0.00131 2.43 0 MirTarget -0.54 0 NA
117 hsa-miR-145-5p MAP2K6 1.48 0 -0.14 0.55112 miRNAWalker2 validate -0.15 0.01692 NA
118 hsa-miR-93-3p MAP9 -0.4 0.00131 1.38 0 MirTarget -0.31 0.004 NA
119 hsa-miR-145-5p MBNL3 1.48 0 0.6 0.01424 miRNATAP -0.19 0.00192 NA
120 hsa-miR-425-3p MDH2 0.16 0.22372 -0.07 0.50754 miRNAWalker2 validate -0.13 0.00167 NA
121 hsa-miR-93-3p MID2 -0.4 0.00131 -0.02 0.91611 MirTarget -0.33 0 NA
122 hsa-miR-93-3p MKL2 -0.4 0.00131 -0.02 0.8574 MirTarget -0.15 0.00012 NA
123 hsa-miR-145-5p MMP1 1.48 0 -1.71 1.0E-5 miRNAWalker2 validate -0.21 0.03278 NA
124 hsa-miR-93-3p MOCS1 -0.4 0.00131 0.56 3.0E-5 miRNATAP -0.22 2.0E-5 NA
125 hsa-miR-93-3p MON1B -0.4 0.00131 0.09 0.25534 miRNAWalker2 validate -0.12 0.00023 NA
126 hsa-miR-93-3p MPP5 -0.4 0.00131 0.29 0.00156 miRNAWalker2 validate -0.1 0.00467 NA
127 hsa-miR-93-3p MPPED2 -0.4 0.00131 -0.66 0.01633 mirMAP -0.3 0.00471 NA
128 hsa-miR-93-3p MTUS2 -0.4 0.00131 3.88 0 miRNATAP -0.4 0.01215 NA
129 hsa-miR-93-3p N4BP2L1 -0.4 0.00131 1.71 0 MirTarget -0.3 0 NA
130 hsa-miR-93-3p NCOA1 -0.4 0.00131 0.41 0 MirTarget; miRNATAP -0.13 4.0E-5 NA
131 hsa-miR-93-3p NCOA4 -0.4 0.00131 0.7 0 miRNAWalker2 validate -0.18 3.0E-5 NA
132 hsa-miR-145-5p NEDD4L 1.48 0 -0.86 0 miRNATAP -0.23 0 NA
133 hsa-miR-93-3p NFAM1 -0.4 0.00131 1.51 0 mirMAP -0.16 0.04236 NA
134 hsa-miR-93-3p NFASC -0.4 0.00131 0.52 0.01556 MirTarget; miRNATAP -0.37 1.0E-5 NA
135 hsa-miR-93-3p NFIA -0.4 0.00131 0.92 0 miRNATAP -0.25 0 NA
136 hsa-miR-93-3p NFIC -0.4 0.00131 0.58 0.00749 mirMAP -0.33 0.0001 NA
137 hsa-miR-425-3p NFIX 0.16 0.22372 0.05 0.70706 mirMAP -0.37 0 NA
138 hsa-miR-93-3p NIT1 -0.4 0.00131 0.03 0.79148 miRNATAP -0.14 0.00019 NA
139 hsa-miR-93-3p NLGN4X -0.4 0.00131 1.28 0.0004 MirTarget; miRNATAP -0.31 0.03018 NA
140 hsa-miR-93-3p NPTXR -0.4 0.00131 0.56 0.09745 mirMAP -0.33 0.01107 NA
141 hsa-miR-145-5p NRAS 1.48 0 -0.3 0.00029 miRNAWalker2 validate; MirTarget; miRNATAP -0.12 0 26973415 miR-145 expression was significantly downregulated in colon cancer tissues with its expression in normal colonic tissues being 4-5-fold higher two sample t test P < 0.05 whereas N-ras expression showed the opposite trend
142 hsa-miR-145-5p NUDT1 1.48 0 -1.55 0 miRTarBase -0.23 0 21289483 MiR 145 inhibits cell proliferation of human lung adenocarcinoma by targeting EGFR and NUDT1; The mRNA expressions of EGFR and NUDT1 were significantly downregulated after miR-145 transfection in human lung adenocarcinoma cells; Our results demonstrated miR-145 in the negative regulation of EGFR and NUDT1 expressions at both mRNA and protein levels; Upregulation of miR-145 appeared to be an important gene regulation mechanism for the proliferation of lung adenocarcinoma cells and it correlated strongly with the downregulation of EGFR and NUDT1; Our findings provided new insight into the complex regulating pathway comprising of miR-145 EGFR NUDT1 and other unknown factors which function in cell proliferation but not in apoptosis
143 hsa-miR-93-3p OCIAD1 -0.4 0.00131 0.36 0 miRNATAP -0.12 3.0E-5 NA
144 hsa-miR-145-5p ONECUT2 1.48 0 -0.12 0.55138 mirMAP; miRNATAP -0.25 0 NA
145 hsa-miR-93-3p PAFAH1B1 -0.4 0.00131 0.43 0 MirTarget; miRNATAP -0.16 0 NA
146 hsa-miR-145-5p PAK4 1.48 0 -0.33 0.00055 miRNAWalker2 validate; miRTarBase -0.12 0 23499891 We further demonstrated that miR-145 directly targeted catenin δ-1 contributing to the aberrant translocation of β-catenin through impaired nuclear shuttling with p21-activated kinase 4 PAK4
147 hsa-miR-93-3p PAMR1 -0.4 0.00131 2.87 0 miRNAWalker2 validate -0.42 1.0E-5 NA
148 hsa-miR-145-5p PAN2 1.48 0 0.12 0.24513 MirTarget; miRNATAP -0.12 1.0E-5 NA
149 hsa-miR-145-5p PAQR9 1.48 0 -0.14 0.51216 MirTarget -0.2 0.00016 NA
150 hsa-miR-93-3p PDLIM2 -0.4 0.00131 0.9 0 mirMAP -0.19 0.00019 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 hsa04360_Axon_guidance 7 130 0.0008788 0.1257
2 hsa04720_Long.term_potentiation 5 70 0.001396 0.1257
3 hsa04010_MAPK_signaling_pathway 9 268 0.004563 0.2738
4 hsa00250_Alanine._aspartate_and_glutamate_metabolism 3 32 0.006179 0.278
5 hsa04660_T_cell_receptor_signaling_pathway 5 108 0.008989 0.3236
6 hsa04960_Aldosterone.regulated_sodium_reabsorption 3 42 0.01313 0.3938
7 hsa00360_Phenylalanine_metabolism 2 17 0.01665 0.4281
8 hsa04012_ErbB_signaling_pathway 4 87 0.01937 0.4358
9 hsa00330_Arginine_and_proline_metabolism 3 54 0.0256 0.5121
10 hsa00910_Nitrogen_metabolism 2 23 0.02958 0.5324
11 hsa04390_Hippo_signaling_pathway 5 154 0.03554 0.5816
12 hsa04920_Adipocytokine_signaling_pathway 3 68 0.04596 0.6005
13 hsa00020_Citrate_cycle_.TCA_cycle. 2 30 0.04821 0.6005
14 hsa04151_PI3K_AKT_signaling_pathway 8 351 0.05613 0.6005
15 hsa04014_Ras_signaling_pathway 6 236 0.06053 0.6005
16 hsa04380_Osteoclast_differentiation 4 128 0.06442 0.6005
17 hsa04664_Fc_epsilon_RI_signaling_pathway 3 79 0.06614 0.6005
18 hsa00270_Cysteine_and_methionine_metabolism 2 36 0.06672 0.6005
19 hsa04650_Natural_killer_cell_mediated_cytotoxicity 4 136 0.07673 0.626
20 hsa04910_Insulin_signaling_pathway 4 138 0.07998 0.626
21 hsa00350_Tyrosine_metabolism 2 41 0.08364 0.6273
22 hsa00510_N.Glycan_biosynthesis 2 49 0.113 0.721
23 hsa04912_GnRH_signaling_pathway 3 101 0.1162 0.721
24 hsa04916_Melanogenesis 3 101 0.1162 0.721
25 hsa04150_mTOR_signaling_pathway 2 52 0.1246 0.7476
26 hsa04141_Protein_processing_in_endoplasmic_reticulum 4 168 0.1363 0.7917
27 hsa00590_Arachidonic_acid_metabolism 2 59 0.1527 0.8327
28 hsa04722_Neurotrophin_signaling_pathway 3 127 0.188 0.8728
29 hsa04115_p53_signaling_pathway 2 69 0.1945 0.8728
30 hsa03320_PPAR_signaling_pathway 2 70 0.1988 0.8728
31 hsa04730_Long.term_depression 2 70 0.1988 0.8728
32 hsa04530_Tight_junction 3 133 0.206 0.8796
33 hsa04662_B_cell_receptor_signaling_pathway 2 75 0.2203 0.8796
34 hsa04370_VEGF_signaling_pathway 2 76 0.2246 0.8796
35 hsa04260_Cardiac_muscle_contraction 2 77 0.229 0.8796
36 hsa04146_Peroxisome 2 79 0.2376 0.8796
37 hsa00564_Glycerophospholipid_metabolism 2 80 0.242 0.8796
38 hsa04810_Regulation_of_actin_cytoskeleton 4 214 0.2443 0.8796
39 hsa04350_TGF.beta_signaling_pathway 2 85 0.2638 0.913
40 hsa04630_Jak.STAT_signaling_pathway 3 155 0.2746 0.9153
41 hsa04020_Calcium_signaling_pathway 3 177 0.3451 1
42 hsa04062_Chemokine_signaling_pathway 3 189 0.3835 1
43 hsa04114_Oocyte_meiosis 2 114 0.3881 1
44 hsa04270_Vascular_smooth_muscle_contraction 2 116 0.3964 1
45 hsa04144_Endocytosis 3 203 0.4275 1
46 hsa04514_Cell_adhesion_molecules_.CAMs. 2 136 0.4762 1
47 hsa04120_Ubiquitin_mediated_proteolysis 2 139 0.4876 1
48 hsa03013_RNA_transport 2 152 0.5353 1
49 hsa04510_Focal_adhesion 2 200 0.6838 1

Quest ID: 2dc4e6f6032e0347343194212dfe6464