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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for ACOT8 |
Basic gene info. | Gene symbol | ACOT8 |
Gene name | acyl-CoA thioesterase 8 | |
Synonyms | HNAACTE|PTE-1|PTE-2|PTE1|PTE2|hACTE-III|hTE | |
Cytomap | UCSC genome browser: 20q13.12 | |
Genomic location | chr20 :44470359-44486048 | |
Type of gene | protein-coding | |
RefGenes | NM_005469.3, NM_183385.1,NM_183386.1, | |
Ensembl id | ENSG00000101473 | |
Description | HIV-Nef associated acyl-CoA thioesteraseacyl-coenzyme A thioesterase 8choloyl-CoA hydrolasecholoyl-coenzyme A thioesteraselong-chain fatty-acyl-CoA hydrolasepalmitoyl-CoA hydrolaseperoxisomal acyl-CoA thioesterase 1peroxisomal acyl-coenzyme A thioe | |
Modification date | 20141222 | |
dbXrefs | MIM : 608123 | |
HGNC : HGNC | ||
Ensembl : ENSG00000101473 | ||
HPRD : 06998 | ||
Vega : OTTHUMG00000033045 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_ACOT8 | |
BioGPS: 10005 | ||
Gene Expression Atlas: ENSG00000101473 | ||
The Human Protein Atlas: ENSG00000101473 | ||
Pathway | NCI Pathway Interaction Database: ACOT8 | |
KEGG: ACOT8 | ||
REACTOME: ACOT8 | ||
ConsensusPathDB | ||
Pathway Commons: ACOT8 | ||
Metabolism | MetaCyc: ACOT8 | |
HUMANCyc: ACOT8 | ||
Regulation | Ensembl's Regulation: ENSG00000101473 | |
miRBase: chr20 :44,470,359-44,486,048 | ||
TargetScan: NM_005469 | ||
cisRED: ENSG00000101473 | ||
Context | iHOP: ACOT8 | |
cancer metabolism search in PubMed: ACOT8 | ||
UCL Cancer Institute: ACOT8 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for ACOT8(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: ACOT8 |
Familial Cancer Database: ACOT8 |
* This gene is included in those cancer gene databases. |
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/ |
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REACTOME_PEROXISOMAL_LIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: ACOT8 |
MedGen: ACOT8 (Human Medical Genetics with Condition) | |
ClinVar: ACOT8 | |
Phenotype | MGI: ACOT8 (International Mouse Phenotyping Consortium) |
PhenomicDB: ACOT8 |
Mutations for ACOT8 |
* 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. |
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- Statistics for Tissue and Mutation type | Top |
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- For Inter-chromosomal Variations |
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'. |
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- For Intra-chromosomal Variations |
There's no intra-chromosomal structural variation. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
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) |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows ACOT8 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 |
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Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample | 2 |   |   |   |   |   |   |   |   |   |   |   |   |   | 1 |   |   | |||
GAIN (# sample) | 2 |   |   |   |   |   |   |   |   |   |   |   |   |   | 1 |   |   | |||
LOSS (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
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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Stat. for Non-Synonymous SNVs (# total SNVs=18) | (# total SNVs=9) |
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(# total SNVs=0) | (# total SNVs=1) |
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* 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 |
chr20:44477248-44477248 | p.R110H | 2 |
chr20:44472906-44472906 | p.Y214Y | 2 |
chr20:44472920-44472920 | p.R210* | 2 |
chr20:44483804-44483804 | p.R86W | 2 |
chr20:44470486-44470486 | p.S317R | 1 |
chr20:44483888-44483888 | p.Q58E | 1 |
chr20:44472358-44472358 | p.E217K | 1 |
chr20:44485952-44485953 | p.? | 1 |
chr20:44477200-44477200 | p.A126V | 1 |
chr20:44470491-44470491 | p.E316K | 1 |
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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 | 2 | 1 |   | 1 | 1 |   |   |   | 2 |   |   | 1 | 3 |   |   |   | 3 | 2 |   | 5 |
# mutation | 2 | 1 |   | 1 | 1 |   |   |   | 2 |   |   | 1 | 3 |   |   |   | 3 | 3 |   | 5 |
nonsynonymous SNV | 2 | 1 |   | 1 | 1 |   |   |   | 1 |   |   | 1 | 3 |   |   |   | 1 | 2 |   | 3 |
synonymous SNV |   |   |   |   |   |   |   |   | 1 |   |   |   |   |   |   |   | 2 | 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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* 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 |
chr20:44477248 | p.R110H | 2 |
chr20:44470568 | p.R102Q | 1 |
chr20:44483804 | p.R86W | 1 |
chr20:44472287 | p.S79F | 1 |
chr20:44483824 | p.L64V | 1 |
chr20:44472331 | p.V60L | 1 |
chr20:44483870 | p.Q58E | 1 |
chr20:44472335 | p.R290L | 1 |
chr20:44483882 | p.L54L | 1 |
chr20:44472967 | p.L240L | 1 |
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* 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. |
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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 ACOT8 |
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* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
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* 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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* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
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* 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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ACOT8,BLOC1S1,UQCC3,C16orf13,C7orf50,LAMTOR4,DNTTIP1, GUK1,MRPL53,MRPL55,NDUFA11,PHPT1,RALY,RNASEH2C, RNF181,ROMO1,SLC35C2,SNX21,SSSCA1,TCEB2,ZNHIT1 | ACOT8,ATG4D,ATP5D,ATP5SL,RPP25L,EMC9,FAM195A, FAM89B,FASTK,CPTP,MAP2K2,NTMT1,MRPL14,NOSIP, PCBP4,PHPT1,PMPCA,PRMT1,PTGES2,SDR39U1,TIMM17B | ||||
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ACOT8,OSER1,AAR2,RTFDC1,CHMP4B,DYNLRB1,EIF6, ERGIC3,PIGU,PSMA7,RALY,SLC35C2,SNHG11,SYS1, NELFCD,TOMM34,TP53RK,UBE2V1,YWHAB,ZSWIM1,ZSWIM3 | ABCD4,ACOT8,B3GALT4,KDF1,C1orf210,HDHD3,HINFP, INPP5K,KLC4,NAAA,NUDT22,PLEKHJ1,POLD4,PRRG2, PRSS3,PXMP2,RAB4B,RER1,SIRT7,SLC35D2,ZFAND2B |
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* 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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Pharmacological Information for ACOT8 |
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DB Category | DB Name | DB's ID and Url link |
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* Gene Centered Interaction Network. |
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* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB00145 | acyl-CoA thioesterase 8 | approved; nutraceutical | Glycine | ![]() | ![]() |
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Cross referenced IDs for ACOT8 |
* 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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