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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for ENOPH1 |
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Phenotypic Information for ENOPH1(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: ENOPH1 |
Familial Cancer Database: ENOPH1 |
* This gene is included in those cancer gene databases. |
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Oncogene 1 | Significant driver gene in |
cf) number; DB name 1 Oncogene; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 2 Tumor Suppressor gene; https://bioinfo.uth.edu/TSGene/, 3 Cancer Gene Census; http://www.nature.com/nrc/journal/v4/n3/abs/nrc1299.html, 4 CancerGenes; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 5 Network of Cancer Gene; http://ncg.kcl.ac.uk/index.php, 1Therapeutic Vulnerabilities in Cancer; http://cbio.mskcc.org/cancergenomics/statius/ |
Metabolic Pathway Description | |
KEGG_CYSTEINE_AND_METHIONINE_METABOLISM REACTOME_SULFUR_AMINO_ACID_METABOLISM REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES REACTOME_METABOLISM_OF_POLYAMINES |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: ENOPH1 |
MedGen: ENOPH1 (Human Medical Genetics with Condition) | |
ClinVar: ENOPH1 | |
Phenotype | MGI: ENOPH1 (International Mouse Phenotyping Consortium) |
PhenomicDB: ENOPH1 |
Mutations for ENOPH1 |
* Under tables are showing count per each tissue to give us broad intuition about tissue specific mutation patterns.You can go to the detailed page for each mutation database's web site. |
Structural Variants in COSMIC: go to COSMIC mutation histogram |
There's no structural variation information in COSMIC data for this gene. |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows ENOPH1 related fusion information. |
ID | Head Gene | Tail Gene | Accession | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a |
BC000236 | TSNAX | 1 | 1234 | 1 | 231664437 | 231700892 | ENOPH1 | 1229 | 1306 | 4 | 83368350 | 83368427 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | 1 | |||
GAIN (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | 1 |
cf) Tissue ID; Tissue type (1; Breast, 2; Central_nervous_system, 3; Cervix, 4; Endometrium, 5; Haematopoietic_and_lymphoid_tissue, 6; Kidney, 7; Large_intestine, 8; Liver, 9; Lung, 10; NS, 11; Ovary, 12; Pancreas, 13; Prostate, 14; Skin, 15; Stomach, 16; Thyroid, 17; Urinary_tract) |
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SNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation |
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Somatic Mutation Counts per Tissue in COSMIC data |
Stat. for Non-Synonymous SNVs (# total SNVs=19) | (# total SNVs=10) |
(# total SNVs=0) | (# total SNVs=0) |
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Top 10 SNVs Having the Most Samples in COSMIC data |
* When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site,primary_histology,mutation(aa),pubmedID. |
GRCh37 position | Mutation(aa) | Unique sampleID count |
chr4:83372327-83372327 | p.K106N | 2 |
chr4:83375977-83375977 | p.F164F | 2 |
chr4:83381193-83381193 | p.A236T | 2 |
chr4:83375878-83375878 | p.F131F | 2 |
chr4:83369094-83369094 | p.E36K | 2 |
chr4:83375965-83375965 | p.Q160H | 1 |
chr4:83381192-83381192 | p.N235N | 1 |
chr4:83372360-83372360 | p.M117I | 1 |
chr4:83375989-83375989 | p.T168T | 1 |
chr4:83381239-83381240 | p.S251F | 1 |
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SNV Counts per Each Loci in TCGA data |
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Point Mutation/ Tissue ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
# sample |   | 1 | 1 | 2 | 1 |   | 2 |   | 1 |   |   | 4 | 2 |   |   |   | 3 | 2 |   | 5 |
# mutation |   | 1 | 1 | 3 | 1 |   | 2 |   | 1 |   |   | 3 | 2 |   |   |   | 3 | 2 |   | 5 |
nonsynonymous SNV |   | 1 | 1 | 2 |   |   | 1 |   |   |   |   | 2 | 2 |   |   |   | 2 | 2 |   | 2 |
synonymous SNV |   |   |   | 1 | 1 |   | 1 |   | 1 |   |   | 1 |   |   |   |   | 1 |   |   | 3 |
cf) Tissue ID; Tissue type (1; BLCA[Bladder Urothelial Carcinoma], 2; BRCA[Breast invasive carcinoma], 3; CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], 4; COAD[Colon adenocarcinoma], 5; GBM[Glioblastoma multiforme], 6; Glioma Low Grade, 7; HNSC[Head and Neck squamous cell carcinoma], 8; KICH[Kidney Chromophobe], 9; KIRC[Kidney renal clear cell carcinoma], 10; KIRP[Kidney renal papillary cell carcinoma], 11; LAML[Acute Myeloid Leukemia], 12; LUAD[Lung adenocarcinoma], 13; LUSC[Lung squamous cell carcinoma], 14; OV[Ovarian serous cystadenocarcinoma ], 15; PAAD[Pancreatic adenocarcinoma], 16; PRAD[Prostate adenocarcinoma], 17; SKCM[Skin Cutaneous Melanoma], 18:STAD[Stomach adenocarcinoma], 19:THCA[Thyroid carcinoma], 20:UCEC[Uterine Corpus Endometrial Carcinoma]) |
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Top 10 SNVs Having the Most Samples in TCGA data |
* We represented just top 10 SNVs. When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site, primary_histology, mutation(aa), pubmedID. |
Genomic Position | Mutation(aa) | Unique sampleID count |
chr4:83381180 | p.E36K | 2 |
chr4:83369094 | p.V143V,ENOPH1 | 2 |
chr4:83375977 | p.F43F,ENOPH1 | 2 |
chr4:83375878 | p.F76F,ENOPH1 | 2 |
chr4:83378172 | p.G77G,ENOPH1 | 1 |
chr4:83375938 | p.T80T,ENOPH1 | 1 |
chr4:83375948 | p.S5L | 1 |
chr4:83381193 | p.G90C,ENOPH1 | 1 |
chr4:83375957 | p.N118S,ENOPH1 | 1 |
chr4:83351996 | p.K61T | 1 |
Other DBs for Point Mutations |
Copy Number for ENOPH1 in TCGA |
* Copy number data were extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered on Jan-05-2015. Function ProcessCNAData in TCGA-Assembler package was used to obtain gene-level copy number value which is calculated as the average copy number of the genomic region of a gene. |
cf) Tissue ID[Tissue type]: BLCA[Bladder Urothelial Carcinoma], BRCA[Breast invasive carcinoma], CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], COAD[Colon adenocarcinoma], GBM[Glioblastoma multiforme], Glioma Low Grade, HNSC[Head and Neck squamous cell carcinoma], KICH[Kidney Chromophobe], KIRC[Kidney renal clear cell carcinoma], KIRP[Kidney renal papillary cell carcinoma], LAML[Acute Myeloid Leukemia], LUAD[Lung adenocarcinoma], LUSC[Lung squamous cell carcinoma], OV[Ovarian serous cystadenocarcinoma ], PAAD[Pancreatic adenocarcinoma], PRAD[Prostate adenocarcinoma], SKCM[Skin Cutaneous Melanoma], STAD[Stomach adenocarcinoma], THCA[Thyroid carcinoma], UCEC[Uterine Corpus Endometrial Carcinoma] |
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Gene Expression for ENOPH1 |
Gene Expression in Cancer Cell-lines (CCLE) |
* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
Differential Gene Expression in Primary Tumors (TCGA) |
* Normalized gene expression data of RNASeqV2 was extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered at Jan-05-2015. Only eight cancer types have enough normal control samples for differential expression analysis. (t test, adjusted p<0.05 (using Benjamini-Hochberg FDR)) |
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CNV vs Gene Expression Plot |
* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
Co-Expressed gene's network Plot |
* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
ANAPC10,MZT1,CISD2,DCK,EIF4E,ENOPH1,LIN54, LAMTOR3,METAP1,NECAP1,PAICS,PDS5A,PPAT,RWDD4, SCOC,THAP9,TMEM150C,TMEM33,TMEM68,UBE2K,USP38 | ACP1,BUB3,SMIM15,CBX3,CSTF1,DBF4,E2F5, EEF1E1,ENOPH1,FAM103A1,HMGN1,LRRC8D,NIFK,NOL11, PAICS,PEX11B,PPA2,SET,TADA1,TTC19,UTP18 |
ABCE1,AIMP1,ANAPC10,TMA16,C4orf46,CCDC59,CISD2, COMMD8,EIF4E,ENOPH1,LSM6,MAD2L1,METAP1,MRPL1, MRPS18C,MRPS23,NUP54,PAICS,PIGY,PPID,RWDD4 | ACTL6A,COPS3,DCAF13,EEF1E1,ENOPH1,GLMN,HAUS1, MRPL3,MRPL50,NUDCD1,NUP54,OSTC,POLE3,RAN, SNRNP40,SNRPE,TMEM126A,TOMM5,TOMM6,TRIAP1,UBA2 |
Co-Expressed gene's Protein-protein interaction Network Plot |
* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
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Interacting Genes (from Pathway Commons) |
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Pharmacological Information for ENOPH1 |
There's no related Drug. |
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Cross referenced IDs for ENOPH1 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
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