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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for AUH |
Basic gene info. | Gene symbol | AUH |
Gene name | AU RNA binding protein/enoyl-CoA hydratase | |
Synonyms | - | |
Cytomap | UCSC genome browser: 9q22.31 | |
Genomic location | chr9 :93976096-94124206 | |
Type of gene | protein-coding | |
RefGenes | NM_001698.2, | |
Ensembl id | ENSG00000148090 | |
Description | 3-methylglutaconyl-CoA hydrataseAU RNA binding protein/enoyl-Coenzyme A hydrataseAU RNA-binding protein/enoyl-Coenzyme A hydrataseAU-binding protein/Enoyl-CoA hydrataseAU-specific RNA-binding enoyl-CoA hydratasemethylglutaconyl-CoA hydratase, mitocho | |
Modification date | 20141207 | |
dbXrefs | MIM : 600529 | |
HGNC : HGNC | ||
Ensembl : ENSG00000148090 | ||
HPRD : 08987 | ||
Vega : OTTHUMG00000020207 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_AUH | |
BioGPS: 549 | ||
Gene Expression Atlas: ENSG00000148090 | ||
The Human Protein Atlas: ENSG00000148090 | ||
Pathway | NCI Pathway Interaction Database: AUH | |
KEGG: AUH | ||
REACTOME: AUH | ||
ConsensusPathDB | ||
Pathway Commons: AUH | ||
Metabolism | MetaCyc: AUH | |
HUMANCyc: AUH | ||
Regulation | Ensembl's Regulation: ENSG00000148090 | |
miRBase: chr9 :93,976,096-94,124,206 | ||
TargetScan: NM_001698 | ||
cisRED: ENSG00000148090 | ||
Context | iHOP: AUH | |
cancer metabolism search in PubMed: AUH | ||
UCL Cancer Institute: AUH | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for AUH(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: AUH |
Familial Cancer Database: AUH |
* 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 | |
REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: AUH |
MedGen: AUH (Human Medical Genetics with Condition) | |
ClinVar: AUH | |
Phenotype | MGI: AUH (International Mouse Phenotyping Consortium) |
PhenomicDB: AUH |
Mutations for AUH |
* 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 |
- Statistics for Tissue and Mutation type | Top |
- For Inter-chromosomal Variations |
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'. |
- For Intra-chromosomal Variations |
* Intra-chromosomal variantions includes 'intrachromosomal amplicon to amplicon', 'intrachromosomal amplicon to non-amplified dna', 'intrachromosomal deletion', 'intrachromosomal fold-back inversion', 'intrachromosomal inversion', 'intrachromosomal tandem duplication', 'Intrachromosomal unknown type', 'intrachromosomal with inverted orientation', 'intrachromosomal with non-inverted orientation'. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
pancreas | AUH | chr9 | 94042304 | 94042324 | AUH | chr9 | 94038875 | 94038895 |
cf) Tissue number; Tissue name (1;Breast, 2;Central_nervous_system, 3;Haematopoietic_and_lymphoid_tissue, 4;Large_intestine, 5;Liver, 6;Lung, 7;Ovary, 8;Pancreas, 9;Prostate, 10;Skin, 11;Soft_tissue, 12;Upper_aerodigestive_tract) |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows AUH 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 |
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 |   |   |   |   |   | 3 |   |   |   |   |   |   |   | 1 |   |   | |||
GAIN (# sample) | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   | 1 |   |   | |||
LOSS (# sample) |   |   |   |   |   |   | 3 |   |   |   |   |   |   |   |   |   |   |
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=20) | (# total SNVs=11) |
(# total SNVs=3) | (# 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 |
chr9:93976654-93976654 | p.R332S | 2 |
chr9:93983252-93983252 | p.R226R | 2 |
chr9:94058305-94058305 | p.G218A | 2 |
chr9:93983200-93983200 | p.D244N | 1 |
chr9:94058320-94058320 | p.A213V | 1 |
chr9:93979565-93979565 | p.M297fs*5 | 1 |
chr9:94118217-94118217 | p.K122N | 1 |
chr9:93983203-93983203 | p.L243I | 1 |
chr9:94058356-94058356 | p.S201F | 1 |
chr9:93979588-93979588 | p.A289T | 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 |   | 3 |   |   | 1 |   | 1 |   |   | 2 | 1 |   |   |   | 3 | 6 |   | 5 |
# mutation | 1 | 1 |   | 2 |   |   | 1 |   | 1 |   |   | 2 | 1 |   |   |   | 3 | 6 |   | 5 |
nonsynonymous SNV | 1 | 1 |   | 1 |   |   | 1 |   |   |   |   | 2 | 1 |   |   |   | 3 | 6 |   | 3 |
synonymous SNV |   |   |   | 1 |   |   |   |   | 1 |   |   |   |   |   |   |   |   |   |   | 2 |
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 |
chr9:93983174 | p.D167N | 2 |
chr9:94087606 | p.G252G | 2 |
chr9:94060341 | p.A240V | 1 |
chr9:93983200 | p.S239F | 1 |
chr9:94087618 | p.F238V | 1 |
chr9:93983203 | p.A227V | 1 |
chr9:94087667 | p.A227T | 1 |
chr9:93983211 | p.G185V | 1 |
chr9:94118217 | p.A183S | 1 |
chr9:93983214 | p.T303A | 1 |
Other DBs for Point Mutations |
Copy Number for AUH 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 AUH |
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 |
ALAD,AUH,C10orf32,LINC00271,C9orf156,TMEM245,CPEB3, EFCAB6,FAM120A,IQCH,ISCA1,KBTBD3,KIAA0141,KLHDC1, LZTFL1,NDFIP1,SIAE,WDR31,XPA,ZNF280D,ZNF493 | ADHFE1,ALDH6A1,ATP5S,AUH,BNIP3,MPC1,C6orf57, ETFA,GKAP1,GPN3,HIBADH,LACTB2,LOC286367,MUT, NDUFB5,NIPSNAP3B,RHOT1,SNRNP27,ST3GAL6,STRADB,SUCLG2 | ||||
ATP5C1,ATP5F1,ATP6V1G1,AUH,FAM206A,C9orf85,CCDC28A, ERP44,ISCA1,ISCA1P1,KBTBD3,MCEE,MRPL50,NDUFA5, NDUFB5,NIPSNAP3A,PPP6C,RCHY1,SH3BGRL2,SPTLC1,TRUB2 | ABCC6P2,ACADM,ADPRHL1,ARHGAP18,ASB13,AUH,PPP1R36, CHPT1,CLYBL,CMBL,CRYL1,DERA,GLOD4,GPR160, HDHD3,NAT2,NR1H3,PAFAH2,PHYH,SNX14,TP53TG1 |
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 AUH |
Cross-referenced pharmacological DB IDs from Uniprot |
DB Category | DB Name | DB's ID and Url link |
Drug-Gene Interaction Network |
* Gene Centered Interaction Network. |
* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB00121 | AU RNA binding protein/enoyl-CoA hydratase | approved; nutraceutical | Biotin | ||
DB00149 | AU RNA binding protein/enoyl-CoA hydratase | approved; nutraceutical | L-Leucine |
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Cross referenced IDs for AUH |
* 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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