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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-125b-5p ABCB9 0.4 0.2546 0.46 0.14647 mirMAP -0.22 0.00097 NA
2 hsa-miR-125b-5p ABTB1 0.4 0.2546 -0.09 0.79256 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.2 0.00439 NA
3 hsa-miR-125b-5p ACAP3 0.4 0.2546 -0.33 0.38761 miRNATAP -0.28 0.00052 NA
4 hsa-miR-125b-5p ADAMTS13 0.4 0.2546 0.09 0.85937 mirMAP -0.28 0.0081 NA
5 hsa-miR-125b-5p ADAP1 0.4 0.2546 1.46 0.03319 mirMAP -0.3 0.04383 NA
6 hsa-miR-125b-5p ADRM1 0.4 0.2546 0.24 0.39709 miRNAWalker2 validate -0.32 0 NA
7 hsa-miR-125b-5p AIFM1 0.4 0.2546 0.08 0.68492 miRNATAP -0.15 0.00022 NA
8 hsa-miR-125b-5p AKAP1 0.4 0.2546 0.93 0.00358 miRNATAP -0.15 0.02649 NA
9 hsa-miR-125b-5p AKT1 0.4 0.2546 0.04 0.7925 miRNAWalker2 validate; miRTarBase -0.11 0.0004 NA
10 hsa-miR-125b-5p AMIGO3 0.4 0.2546 0.1 0.79393 mirMAP -0.27 0.00042 NA
11 hsa-miR-125b-5p ANAPC16 0.4 0.2546 -0.03 0.86927 MirTarget -0.1 0.00838 NA
12 hsa-miR-125b-5p ARFRP1 0.4 0.2546 -0.03 0.91973 mirMAP -0.26 1.0E-5 NA
13 hsa-miR-125b-5p ARMC5 0.4 0.2546 -0.29 0.34639 mirMAP -0.19 0.00543 NA
14 hsa-miR-125b-5p ARMC6 0.4 0.2546 -0.02 0.92912 mirMAP -0.26 0 NA
15 hsa-miR-125b-5p ATP5B 0.4 0.2546 0.22 0.27748 miRNAWalker2 validate -0.14 0.00062 NA
16 hsa-miR-125b-5p ATP5G2 0.4 0.2546 0.15 0.56128 MirTarget; miRNATAP -0.28 0 NA
17 hsa-miR-125b-5p AURKB 0.4 0.2546 0.3 0.65138 miRNAWalker2 validate -0.45 0.00165 NA
18 hsa-miR-125b-5p B3GALNT2 0.4 0.2546 0.28 0.24769 MirTarget -0.11 0.03902 NA
19 hsa-miR-125b-5p B4GALT3 0.4 0.2546 0.45 0.0403 miRNAWalker2 validate -0.19 3.0E-5 NA
20 hsa-miR-125b-5p BAK1 0.4 0.2546 0.35 0.26822 miRNAWalker2 validate; miRTarBase; miRNATAP -0.17 0.01139 24643683; 27386402; 21823019; 18056640; 23928699; 20460378 miR 125b inhibitor enhance the chemosensitivity of glioblastoma stem cells to temozolomide by targeting Bak1; Moreover we demonstrated that the pro-apoptotic Bcl-2 antagonist killer 1 Bak1 was a direct target of miR-125b; Taken together; our data strongly support an important role for miR-125b on conferring TMZ resistance through targeting Bak1 expression;We subsequently evaluated the effect of miR-125b-1 reactivation on the expression and protein levels of BAK1 a target of miR-125b;An in vitro cytotoxicity assay and apoptosis assay using CCK-8 assay and flow cytometry were carried out to detect the effect of miR-125b and Bak1 on cisplatin resistance of cells; Real-time PCR Western blotting and luciferase reporter assay were used to detect whether Bak1 is a target of miR-125b; Moreover Bak1 was a direct target of miR-125b and down-regulation of Bak1 suppressed cisplatin-induced apoptosis and led to an increased resistance to cisplatin; Our study indicates that miR-125b has a significantly promoting effect on chemoresistance of C13* cells and up-regulation of miR-125b expression contributes to cisplatin resistance through suppression of Bak1 expression;In addition transfection of synthetic miR-125b stimulated androgen-independent growth of CaP cells and down-regulated the expression of Bak1;In contrast miR-125b sponge impaired the anti-apoptotic effect of OCT4 along with the upregulated expression of BAK1; Significantly Luciferase assay showed that the activity of the wild-type BAK1 3'-untranslated region reporter was suppressed and this suppression was diminished when the miR-125b response element was mutated or deleted; In addition we observed negative correlation between levels of BAK1 and OCT4 and positive between OCT4 and miR-125b in primary cervical cancers; These findings suggest an undescribed regulatory pathway in cervical cancer by which OCT4 directly induces expression of miR-125b which inhibits its direct target BAK1 leading to suppression of cervical cancer cell apoptosis;Moreover we demonstrated that the pro-apoptotic Bcl-2 antagonist killer 1 Bak1 is a direct target of miR-125b; Restoring Bak1 expression by either miR-125b inhibitor or re-expression of Bak1 in miR-125b-overexpressing cells recovered Taxol sensitivity overcoming miR-125-mediated Taxol resistance; Taken together our data strongly support a central role for miR-125b in conferring Taxol resistance through the suppression of Bak1 expression
21 hsa-miR-125b-5p BBC3 0.4 0.2546 0 0.9971 miRNAWalker2 validate; miRTarBase -0.4 0.00038 25184537 Thus far two of these target genes BBC3 and NEU1 that are tumor suppressor genes but not yet studied in PDAC appear to be functional targets of miR-125b since knockdown of miR125b caused their up regulation
22 hsa-miR-125b-5p BCKDK 0.4 0.2546 -0.01 0.94665 miRNAWalker2 validate -0.16 0.00011 NA
23 hsa-miR-125b-5p BDH1 0.4 0.2546 0.8 0.06208 MirTarget -0.3 0.00097 NA
24 hsa-miR-125b-5p BRMS1 0.4 0.2546 0.1 0.68952 MirTarget -0.22 4.0E-5 NA
25 hsa-miR-125b-5p C22orf29 0.4 0.2546 -0.02 0.94291 mirMAP -0.16 0.00083 NA
26 hsa-miR-125b-5p C7orf43 0.4 0.2546 -0.33 0.21866 miRNATAP -0.16 0.00578 NA
27 hsa-miR-125b-5p CARHSP1 0.4 0.2546 -0.04 0.87116 miRNAWalker2 validate -0.15 0.00364 NA
28 hsa-miR-125b-5p CARS2 0.4 0.2546 -0.07 0.77027 MirTarget -0.22 2.0E-5 NA
29 hsa-miR-125b-5p CBFA2T2 0.4 0.2546 -0.1 0.72617 mirMAP -0.2 0.00126 NA
30 hsa-miR-125b-5p CCDC124 0.4 0.2546 -0.05 0.89199 miRNAWalker2 validate -0.35 0 NA
31 hsa-miR-125b-5p CD320 0.4 0.2546 0.16 0.67971 miRNAWalker2 validate -0.28 0.00109 NA
32 hsa-miR-125b-5p CDK16 0.4 0.2546 0.31 0.11148 MirTarget; miRNATAP -0.16 5.0E-5 NA
33 hsa-miR-125b-5p CDRT4 0.4 0.2546 -0.23 0.53257 miRNAWalker2 validate -0.2 0.01004 NA
34 hsa-miR-125b-5p CENPB 0.4 0.2546 0.18 0.45877 mirMAP -0.23 0 NA
35 hsa-miR-125b-5p CENPO 0.4 0.2546 0.26 0.36646 mirMAP -0.24 0.0001 NA
36 hsa-miR-125b-5p CHPF2 0.4 0.2546 0.12 0.60854 miRNAWalker2 validate -0.21 1.0E-5 NA
37 hsa-miR-125b-5p CLN6 0.4 0.2546 0.16 0.5387 MirTarget -0.16 0.00286 NA
38 hsa-miR-125b-5p COMT 0.4 0.2546 0.24 0.34273 mirMAP -0.14 0.01283 NA
39 hsa-miR-125b-5p COPS7B 0.4 0.2546 -0.02 0.90307 MirTarget; miRNATAP -0.17 4.0E-5 NA
40 hsa-miR-125b-5p COX7C 0.4 0.2546 0.25 0.32261 miRNAWalker2 validate -0.19 0.00049 NA
41 hsa-miR-125b-5p CRTC1 0.4 0.2546 -0.19 0.60098 miRNAWalker2 validate -0.17 0.03083 NA
42 hsa-miR-125b-5p CTNNBIP1 0.4 0.2546 0.53 0.06928 mirMAP -0.14 0.02281 NA
43 hsa-miR-125b-5p CYB561 0.4 0.2546 0.97 0.00414 mirMAP -0.32 1.0E-5 NA
44 hsa-miR-125b-5p DDR1 0.4 0.2546 0.94 0.01674 mirMAP -0.18 0.03683 NA
45 hsa-miR-125b-5p DDX11 0.4 0.2546 0.77 0.09016 mirMAP -0.28 0.00388 NA
46 hsa-miR-125b-5p DDX54 0.4 0.2546 0.02 0.93488 MirTarget -0.24 0 NA
47 hsa-miR-125b-5p DGAT1 0.4 0.2546 0.63 0.07983 miRNAWalker2 validate; miRTarBase -0.38 0 NA
48 hsa-miR-125b-5p DGCR14 0.4 0.2546 -0.13 0.51632 mirMAP -0.16 0.00017 NA
49 hsa-miR-125b-5p DIS3L2 0.4 0.2546 -0.02 0.9167 MirTarget -0.17 1.0E-5 NA
50 hsa-miR-125b-5p DNAJB2 0.4 0.2546 0.24 0.33213 mirMAP -0.16 0.00288 NA
51 hsa-miR-125b-5p DNAJC5 0.4 0.2546 0.07 0.78359 mirMAP -0.2 9.0E-5 NA
52 hsa-miR-125b-5p DNAL4 0.4 0.2546 0.24 0.30448 miRNATAP -0.14 0.00451 NA
53 hsa-miR-125b-5p DNLZ 0.4 0.2546 -0.12 0.75549 mirMAP -0.26 0.00107 NA
54 hsa-miR-125b-5p DPH2 0.4 0.2546 0.16 0.4742 MirTarget -0.12 0.01514 NA
55 hsa-miR-125b-5p DTNB 0.4 0.2546 -0.02 0.95393 MirTarget -0.21 0.01298 NA
56 hsa-miR-125b-5p DUS1L 0.4 0.2546 0.11 0.70994 MirTarget -0.45 0 NA
57 hsa-miR-125b-5p EIF4EBP1 0.4 0.2546 0.24 0.58363 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.43 0 17891175; 26646586 Using a bioinformatics approach we have identified additional potential mRNA targets of one of the miRNAs miR-125b that are upregulated in prostate cancer and confirmed increased expression of one of these targets EIF4EBP1 in prostate cancer tissues;Increased expression of miR-125a and miR-125b inhibited invasion and migration of SKOV3 and OVCAR-429 ovarian cancer cells and was associated with a decrease in EIF4EBP1 expression
58 hsa-miR-125b-5p EMD 0.4 0.2546 0.09 0.67542 miRNAWalker2 validate -0.23 0 NA
59 hsa-miR-125b-5p ESRP2 0.4 0.2546 0.84 0.02604 miRNAWalker2 validate -0.17 0.0402 NA
60 hsa-miR-125b-5p ESRRA 0.4 0.2546 0.38 0.20411 MirTarget; miRNATAP -0.25 0.0001 NA
61 hsa-miR-125b-5p EVI5L 0.4 0.2546 0.25 0.37151 mirMAP -0.14 0.01452 NA
62 hsa-miR-125b-5p EXOC7 0.4 0.2546 -0.08 0.63621 miRNAWalker2 validate -0.12 0.00185 NA
63 hsa-miR-125b-5p FAM134C 0.4 0.2546 0.08 0.69902 MirTarget -0.23 0 NA
64 hsa-miR-125b-5p FAM160B2 0.4 0.2546 -0.31 0.22517 mirMAP -0.19 0.00031 NA
65 hsa-miR-125b-5p FAM174B 0.4 0.2546 1.01 0.02976 miRNATAP -0.27 0.00574 NA
66 hsa-miR-125b-5p FBXL19 0.4 0.2546 0.12 0.70344 miRNATAP -0.13 0.046 NA
67 hsa-miR-125b-5p FBXW4 0.4 0.2546 0.12 0.63331 MirTarget; miRNATAP -0.18 0.00079 NA
68 hsa-miR-125b-5p FCHSD1 0.4 0.2546 -0.45 0.11755 mirMAP; miRNATAP -0.13 0.03992 NA
69 hsa-miR-125b-5p FKBP2 0.4 0.2546 0.69 0.06474 miRNATAP -0.37 0 NA
70 hsa-miR-125b-5p FRAT2 0.4 0.2546 -0.12 0.73257 miRNAWalker2 validate; miRNATAP -0.21 0.00512 NA
71 hsa-miR-125b-5p FZR1 0.4 0.2546 0.13 0.57179 mirMAP -0.18 0.00033 NA
72 hsa-miR-125b-5p GGA1 0.4 0.2546 -0.35 0.11869 mirMAP -0.19 5.0E-5 NA
73 hsa-miR-125b-5p GLYCTK 0.4 0.2546 -0.08 0.86822 MirTarget -0.22 0.02352 NA
74 hsa-miR-125b-5p GMPPB 0.4 0.2546 0.2 0.34146 mirMAP -0.16 0.00019 NA
75 hsa-miR-125b-5p GNB1L 0.4 0.2546 -0.03 0.94425 mirMAP -0.3 0.00106 NA
76 hsa-miR-125b-5p GRINA 0.4 0.2546 -0.25 0.28766 miRNAWalker2 validate -0.15 0.00247 NA
77 hsa-miR-125b-5p GRSF1 0.4 0.2546 0.37 0.06369 MirTarget; miRNATAP -0.19 1.0E-5 NA
78 hsa-miR-125b-5p HAPLN1 0.4 0.2546 2.65 0.01928 MirTarget; miRNATAP -0.73 0.00259 NA
79 hsa-miR-125b-5p HDGF 0.4 0.2546 0.57 0.04237 miRNAWalker2 validate -0.13 0.0339 NA
80 hsa-miR-125b-5p HMGA1 0.4 0.2546 1.07 0.06615 miRNAWalker2 validate; miRTarBase -0.32 0.01171 NA
81 hsa-miR-125b-5p HMGB3 0.4 0.2546 0.33 0.36296 miRNATAP -0.3 8.0E-5 NA
82 hsa-miR-125b-5p HSPA1B 0.4 0.2546 1.32 0.02667 miRNAWalker2 validate -0.35 0.00585 NA
83 hsa-miR-125b-5p HSPBP1 0.4 0.2546 0.46 0.19342 miRNAWalker2 validate -0.43 0 NA
84 hsa-miR-125b-5p HSPD1 0.4 0.2546 0.7 0.01734 miRNAWalker2 validate -0.19 0.00233 NA
85 hsa-miR-125b-5p IER3IP1 0.4 0.2546 0.22 0.36666 MirTarget -0.12 0.02371 NA
86 hsa-miR-125b-5p ILVBL 0.4 0.2546 0.45 0.11016 miRNAWalker2 validate -0.28 0 NA
87 hsa-miR-125b-5p ITPK1 0.4 0.2546 0.18 0.47798 mirMAP -0.12 0.02932 NA
88 hsa-miR-125b-5p JUP 0.4 0.2546 0.75 0.09945 miRNATAP -0.21 0.03383 NA
89 hsa-miR-125b-5p KDM4B 0.4 0.2546 -0.41 0.10162 mirMAP -0.24 0 NA
90 hsa-miR-125b-5p KHSRP 0.4 0.2546 -0.04 0.82083 miRNAWalker2 validate -0.13 8.0E-5 NA
91 hsa-miR-125b-5p KIF24 0.4 0.2546 0.56 0.1505 miRNAWalker2 validate -0.23 0.00583 NA
92 hsa-miR-125b-5p KLC2 0.4 0.2546 0.33 0.21057 MirTarget; miRNATAP -0.13 0.0183 25668010 This study is to identify the function of KLC2 and its interaction with miR-125b in NSCLC; The direct interaction between KLC2 and miR-125b was confirmed by a luciferase reporter assay and a transient co-transfection assay as well as an analysis of eight matched clinical samples; MiR-125b inhibited KLC2 3'-untranslated region luciferase activity and protein expression and inversely correlated with KLC2 expression in clinical samples
93 hsa-miR-125b-5p KLF16 0.4 0.2546 0.45 0.17715 mirMAP; miRNATAP -0.22 0.00218 NA
94 hsa-miR-125b-5p LBX2 0.4 0.2546 0.28 0.66312 miRNAWalker2 validate -0.31 0.02769 NA
95 hsa-miR-125b-5p LMNB2 0.4 0.2546 0.41 0.13181 mirMAP -0.2 0.00048 NA
96 hsa-miR-125b-5p LPIN3 0.4 0.2546 0.75 0.05455 MirTarget -0.23 0.00505 NA
97 hsa-miR-125b-5p LRPAP1 0.4 0.2546 0.19 0.50518 mirMAP -0.24 9.0E-5 NA
98 hsa-miR-125b-5p LRRC14 0.4 0.2546 0.1 0.69444 mirMAP -0.28 0 NA
99 hsa-miR-125b-5p LSM14B 0.4 0.2546 0.2 0.31201 miRNAWalker2 validate -0.15 0.00023 NA
100 hsa-miR-125b-5p LYPLA2 0.4 0.2546 0.06 0.82818 miRNAWalker2 validate; mirMAP; miRNATAP -0.21 0.00035 NA
101 hsa-miR-125b-5p MAP2K7 0.4 0.2546 -0.07 0.76128 miRNATAP -0.2 3.0E-5 27226726 miR 125b inhibited epithelial mesenchymal transition of triple negative breast cancer by targeting MAP2K7; Upregulation of MAP2K7 in miR-125b-overexpressing Hs578T cells partly rescued the migration and invasion suppression of miR-125b; Furthermore MAP2K7 was overexpressed in TNBC samples compared with normal tissues and negatively correlated with miR-125b expression; In light of these findings miR-125b emerged as a tumor suppressor in TNBC by targeting MAP2K7 to inhibit EMT
102 hsa-miR-125b-5p MAP3K10 0.4 0.2546 -0.02 0.96185 MirTarget; miRNATAP -0.2 0.00475 NA
103 hsa-miR-125b-5p MAP3K11 0.4 0.2546 0.07 0.78544 miRNATAP -0.19 0.00047 24635082 Expression of the miRNA miR-125b and serine/threonine kinase mixed lineage kinase MLK3 was assessed in primary malignant melanoma tissues and several melanoma cell lines by quantitative reverse transcription PCR; The effect of MLK3 and miR-125b on cell proliferation was evaluated by MTS assay and cell invasion was evaluated by Transwell invasion assays; Targeting of MLK3 by miR-125b was evaluated using luciferase reporter assay and western blotting; Using bioinformatics we identified MLK3 as one potential target of miR-125b; miRNA transfection and luciferase assay confirmed that MLK3 was regulated by miR-125b at both the transcriptional and translational levels; MLK3 is a direct target of miR-125b
104 hsa-miR-125b-5p MED15 0.4 0.2546 -0.09 0.73343 miRNATAP -0.12 0.03057 NA
105 hsa-miR-125b-5p MED22 0.4 0.2546 -0.22 0.24916 mirMAP -0.14 0.00041 NA
106 hsa-miR-125b-5p METRN 0.4 0.2546 0.26 0.71297 mirMAP -0.61 6.0E-5 NA
107 hsa-miR-125b-5p MICAL3 0.4 0.2546 -0.78 0.00521 mirMAP -0.12 0.04992 NA
108 hsa-miR-125b-5p MKNK2 0.4 0.2546 0.13 0.63494 miRNAWalker2 validate; MirTarget -0.2 0.00049 NA
109 hsa-miR-125b-5p MLEC 0.4 0.2546 0.23 0.3659 mirMAP -0.12 0.02195 NA
110 hsa-miR-125b-5p MLF2 0.4 0.2546 0.18 0.48575 miRNATAP -0.3 0 NA
111 hsa-miR-125b-5p MMAB 0.4 0.2546 0.22 0.49087 miRNAWalker2 validate -0.32 0 NA
112 hsa-miR-125b-5p MOGS 0.4 0.2546 0.19 0.33749 mirMAP -0.28 0 NA
113 hsa-miR-125b-5p MRTO4 0.4 0.2546 0.17 0.44284 miRNAWalker2 validate -0.16 0.00069 NA
114 hsa-miR-125b-5p MTMR4 0.4 0.2546 -0.38 0.11171 miRNAWalker2 validate -0.1 0.04294 NA
115 hsa-miR-125b-5p MTSS1L 0.4 0.2546 -0.08 0.81529 MirTarget; mirMAP -0.17 0.01909 NA
116 hsa-miR-125b-5p MYO19 0.4 0.2546 0.45 0.10934 miRNAWalker2 validate -0.27 0 NA
117 hsa-miR-125b-5p NACC1 0.4 0.2546 0.19 0.37573 mirMAP -0.17 0.00017 NA
118 hsa-miR-125b-5p NCLN 0.4 0.2546 0.21 0.50113 mirMAP -0.38 0 NA
119 hsa-miR-125b-5p NCOR2 0.4 0.2546 0.06 0.82568 MirTarget; miRNATAP -0.12 0.03342 NA
120 hsa-miR-125b-5p NDOR1 0.4 0.2546 0.09 0.7985 miRNAWalker2 validate -0.35 0 NA
121 hsa-miR-125b-5p NDUFA2 0.4 0.2546 0.21 0.41146 MirTarget -0.27 0 NA
122 hsa-miR-125b-5p NECAB3 0.4 0.2546 0.55 0.14976 miRNATAP -0.43 0 NA
123 hsa-miR-125b-5p NEU1 0.4 0.2546 -0.06 0.84112 miRNATAP -0.21 0.00154 25184537; 27220320 Thus far two of these target genes BBC3 and NEU1 that are tumor suppressor genes but not yet studied in PDAC appear to be functional targets of miR-125b since knockdown of miR125b caused their up regulation;STARD13 and NEU1 were identified as direct target genes of miR-125b by luciferase assays and they were involved in the cell migration and invasion regulated by miR-125b in gastric cancer
124 hsa-miR-125b-5p NME2 0.4 0.2546 0.4 0.22385 miRNAWalker2 validate -0.22 0.00147 NA
125 hsa-miR-125b-5p NSUN2 0.4 0.2546 0.23 0.22827 miRNAWalker2 validate -0.19 0 NA
126 hsa-miR-125b-5p PACS2 0.4 0.2546 -0.2 0.37407 mirMAP -0.14 0.00233 NA
127 hsa-miR-125b-5p PAN2 0.4 0.2546 -0.33 0.28947 MirTarget; miRNATAP -0.15 0.02681 NA
128 hsa-miR-125b-5p PCTP 0.4 0.2546 0.2 0.43846 MirTarget; miRNATAP -0.15 0.00584 NA
129 hsa-miR-125b-5p PDDC1 0.4 0.2546 0.12 0.65355 mirMAP -0.17 0.00284 NA
130 hsa-miR-125b-5p PDIA3 0.4 0.2546 0.55 0.01531 MirTarget -0.15 0.00207 NA
131 hsa-miR-125b-5p PDZD11 0.4 0.2546 0.42 0.04359 miRNAWalker2 validate -0.17 0.00014 NA
132 hsa-miR-125b-5p PFDN6 0.4 0.2546 0.38 0.16972 mirMAP -0.27 0 NA
133 hsa-miR-125b-5p PIGZ 0.4 0.2546 0.29 0.43554 mirMAP -0.21 0.00798 NA
134 hsa-miR-125b-5p PLAGL2 0.4 0.2546 -0.01 0.97433 mirMAP; miRNATAP -0.1 0.04158 NA
135 hsa-miR-125b-5p PMM2 0.4 0.2546 0.58 0.02319 MirTarget -0.24 1.0E-5 NA
136 hsa-miR-125b-5p PPIF 0.4 0.2546 0.04 0.90608 MirTarget -0.29 2.0E-5 NA
137 hsa-miR-125b-5p PPP1CA 0.4 0.2546 0.06 0.78484 miRTarBase -0.2 7.0E-5 25240408 MiR 125b promotes cell migration and invasion by targeting PPP1CA Rb signal pathways in gastric cancer resulting in a poor prognosis; MiR-125b was upregulated in gastric cancer tissues and cell lines and significantly promoted cellular proliferation migration and invasion by downregulating the expression of PPP1CA and upregulating Rb phosphorylation; MiR-125b functions as an oncogene by targeting downregulated PPP1CA and upregulated Rb phosphorylation in gastric cancer
138 hsa-miR-125b-5p PRDX2 0.4 0.2546 0.35 0.25619 miRNAWalker2 validate -0.25 8.0E-5 22213330 Treatment with 5-Aza but not with TSA reduced the expression of miR-125b in the 125OH2D3-responsive and -resistant melanoma cell lines and in the NHM
139 hsa-miR-125b-5p PSAT1 0.4 0.2546 0.16 0.83048 miRNAWalker2 validate -0.48 0.00225 NA
140 hsa-miR-125b-5p PSMB1 0.4 0.2546 0.04 0.84214 miRNAWalker2 validate -0.14 0.0017 NA
141 hsa-miR-125b-5p PSMG3 0.4 0.2546 0.5 0.15363 MirTarget -0.45 0 NA
142 hsa-miR-125b-5p PTOV1 0.4 0.2546 0.25 0.44824 miRNAWalker2 validate -0.36 0 NA
143 hsa-miR-125b-5p PXMP4 0.4 0.2546 0.35 0.12613 MirTarget -0.18 0.00019 NA
144 hsa-miR-125b-5p PYCRL 0.4 0.2546 0.66 0.05406 mirMAP -0.44 0 NA
145 hsa-miR-125b-5p QSOX2 0.4 0.2546 -0.02 0.94598 miRNAWalker2 validate; miRNATAP -0.14 0.02304 NA
146 hsa-miR-125b-5p RAB3D 0.4 0.2546 0.8 0.03026 MirTarget; miRNATAP -0.29 0.00023 NA
147 hsa-miR-125b-5p RBM38 0.4 0.2546 -0.51 0.27773 miRNATAP -0.27 0.00798 NA
148 hsa-miR-125b-5p RFC5 0.4 0.2546 0.13 0.54799 MirTarget -0.17 0.00024 NA
149 hsa-miR-125b-5p RFT1 0.4 0.2546 0.07 0.69071 mirMAP -0.16 3.0E-5 NA
150 hsa-miR-125b-5p RFXANK 0.4 0.2546 -0 0.99034 MirTarget -0.32 0 NA
NumGOOverlapSizeP ValueAdj. P Value
1 PROTEIN FOLDING 14 224 1.993e-07 0.0009272
2 MITOCHONDRIAL TRANSPORT 12 177 6.376e-07 0.001483
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 ORGANELLE INNER MEMBRANE 21 525 3.807e-07 0.0002224
2 MITOCHONDRION 40 1633 1.27e-06 0.0003707
3 ENVELOPE 29 1090 9.668e-06 0.001412
4 MITOCHONDRIAL ENVELOPE 22 691 8.387e-06 0.001412
5 MITOCHONDRIAL MEMBRANE PART 10 173 2.256e-05 0.002196
6 MITOCHONDRIAL PART 26 953 1.894e-05 0.002196

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Apoptosis_hsa04210 5 138 0.01837 0.9162
2 Apoptosis_multiple_species_hsa04215 2 33 0.05088 0.9162
3 ErbB_signaling_pathway_hsa04012 3 85 0.06734 0.9162
4 HIF_1_signaling_pathway_hsa04066 3 100 0.09812 0.9162
5 Cellular_senescence_hsa04218 4 160 0.1005 0.9162
6 cGMP_PKG_signaling_pathway_hsa04022 4 163 0.1057 0.9162
7 AMPK_signaling_pathway_hsa04152 3 121 0.1487 0.9659
8 Lysosome_hsa04142 3 123 0.1539 0.9659
9 Autophagy_animal_hsa04140 3 128 0.1672 0.9659
10 MAPK_signaling_pathway_hsa04010 5 295 0.2257 1
11 mTOR_signaling_pathway_hsa04150 3 151 0.2317 1
12 Phosphatidylinositol_signaling_system_hsa04070 2 99 0.2972 1
13 TNF_signaling_pathway_hsa04668 2 108 0.3336 1
14 Wnt_signaling_pathway_hsa04310 2 146 0.4788 1
15 Endocytosis_hsa04144 3 244 0.5044 1
16 Hippo_signaling_pathway_hsa04390 2 154 0.5069 1
17 Necroptosis_hsa04217 2 164 0.5406 1
18 Tight_junction_hsa04530 2 170 0.5601 1
19 Calcium_signaling_pathway_hsa04020 2 182 0.5973 1
20 cAMP_signaling_pathway_hsa04024 2 198 0.6431 1
21 Focal_adhesion_hsa04510 2 199 0.6458 1
22 PI3K_Akt_signaling_pathway_hsa04151 3 352 0.7467 1

Quest ID: 043c7361d08f0882267a8aec0a58b1b1