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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for ARSJ |
Basic gene info. | Gene symbol | ARSJ |
Gene name | arylsulfatase family, member J | |
Synonyms | - | |
Cytomap | UCSC genome browser: 4q26 | |
Genomic location | chr4 :114821439-114900878 | |
Type of gene | protein-coding | |
RefGenes | NM_024590.3, | |
Ensembl id | ENSG00000180801 | |
Description | ASJarylsulfatase J | |
Modification date | 20141207 | |
dbXrefs | MIM : 610010 | |
HGNC : HGNC | ||
Ensembl : ENSG00000180801 | ||
HPRD : 08034 | ||
Vega : OTTHUMG00000161067 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_ARSJ | |
BioGPS: 79642 | ||
Gene Expression Atlas: ENSG00000180801 | ||
The Human Protein Atlas: ENSG00000180801 | ||
Pathway | NCI Pathway Interaction Database: ARSJ | |
KEGG: ARSJ | ||
REACTOME: ARSJ | ||
ConsensusPathDB | ||
Pathway Commons: ARSJ | ||
Metabolism | MetaCyc: ARSJ | |
HUMANCyc: ARSJ | ||
Regulation | Ensembl's Regulation: ENSG00000180801 | |
miRBase: chr4 :114,821,439-114,900,878 | ||
TargetScan: NM_024590 | ||
cisRED: ENSG00000180801 | ||
Context | iHOP: ARSJ | |
cancer metabolism search in PubMed: ARSJ | ||
UCL Cancer Institute: ARSJ | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for ARSJ(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: ARSJ |
Familial Cancer Database: ARSJ |
* 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_GLYCOSPHINGOLIPID_METABOLISM REACTOME_PHOSPHOLIPID_METABOLISM REACTOME_METABOLISM_OF_PROTEINS REACTOME_SPHINGOLIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: ARSJ |
MedGen: ARSJ (Human Medical Genetics with Condition) | |
ClinVar: ARSJ | |
Phenotype | MGI: ARSJ (International Mouse Phenotyping Consortium) |
PhenomicDB: ARSJ |
Mutations for ARSJ |
* 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 |
There's no inter-chromosomal structural variation. |
- 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 |
ovary | ARSJ | chr4 | 114837189 | 114837209 | ARSJ | chr4 | 114834997 | 114835017 |
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 ARSJ 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 |
DA558581 | ZNF703 | 1 | 246 | 8 | 37556017 | 37556259 | ARSJ | 242 | 559 | 4 | 114899683 | 114900000 |
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 |   |   | 1 |   |   |   |   |   |   |   |   |   | 2 | |||
GAIN (# sample) |   |   |   | 1 |   |   | 1 |   |   |   |   |   |   |   |   |   | 2 | |||
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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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=40) | (# total SNVs=14) |
(# total SNVs=5) | (# total SNVs=3) |
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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 |
chr4:114824798-114824798 | p.I144M | 3 |
chr4:114823485-114823487 | p.K582delK | 3 |
chr4:114824392-114824392 | p.E280K | 3 |
chr4:114824400-114824400 | p.R277K | 3 |
chr4:114823833-114823833 | p.W466L | 2 |
chr4:114824057-114824057 | p.Q391Q | 2 |
chr4:114823662-114823662 | p.L523R | 2 |
chr4:114823685-114823685 | p.I515I | 2 |
chr4:114824389-114824389 | p.H281Y | 2 |
chr4:114823493-114823494 | p.K580fs*>21 | 2 |
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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 | 2 | 1 | 6 |   |   | 1 |   |   | 1 |   | 7 |   | 3 |   |   | 12 | 3 |   | 8 |
# mutation | 1 | 2 | 1 | 6 |   |   | 1 |   |   | 1 |   | 9 |   | 3 |   |   | 12 | 3 |   | 11 |
nonsynonymous SNV | 1 |   |   | 5 |   |   | 1 |   |   | 1 |   | 7 |   | 1 |   |   | 8 | 2 |   | 7 |
synonymous SNV |   | 2 | 1 | 1 |   |   |   |   |   |   |   | 2 |   | 2 |   |   | 4 | 1 |   | 4 |
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 |
chr4:114824400 | p.R277M | 3 |
chr4:114823685 | p.L384L | 2 |
chr4:114824078 | p.G175R | 2 |
chr4:114824392 | p.E280K | 2 |
chr4:114824707 | p.I515I | 2 |
chr4:114823987 | p.I440V | 1 |
chr4:114899961 | p.S238F | 1 |
chr4:114823508 | p.A17V | 1 |
chr4:114824711 | p.Y426Y | 1 |
chr4:114823996 | p.G216W | 1 |
Other DBs for Point Mutations |
Copy Number for ARSJ 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 ARSJ |
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 |
ACVR1,ARSJ,CAMK2D,CD109,CLIC4,CNN3,ETV5, FAT1,FGF5,GLIS3,IL1RAP,LRIG3,MAP3K5,PCDH7, QKI,RBFOX2,SCARNA21,SPRED1,SPRY2,SPRY4,SYT10 | ARSJ,CDC42SE1,CDS1,COL4A5,ENPP5,GALNT3,HOOK1, IQCH,ITGA2,KIF3A,MARVELD2,PHF12,RALGPS2,RCAN3, SAMD12,SHROOM2,SPATS2,TEX9,VANGL2,ZNF329,ZNF860 |
ARSJ,TMEM263,C16orf46,CAMK2D,CDC42EP1,CKAP4,CYB5R2, DRAM1,EPOR,FAM174B,FUT8,HMSD,KSR2,MGC87042, PAX9,PDE4D,RAB27B,SERTAD2,SGMS1,TNFAIP8,WARS | AHI1,ARMC9,ARSJ,BTG3,CYP39A1,DGKE,EPHA3, FMN2,IRS1,KCTD12,LOC440925,MAGEF1,FAN1,PHKA1, RARRES2,RBM24,TRMT10B,SEMA3D,SPEF2,USP13,VANGL2 |
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 ARSJ |
There's no related Drug. |
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Cross referenced IDs for ARSJ |
* 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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