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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for APRT |
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Phenotypic Information for APRT(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: APRT |
Familial Cancer Database: APRT |
* 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/ |
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KEGG_PURINE_METABOLISM REACTOME_METABOLISM_OF_NUCLEOTIDES REACTOME_PURINE_METABOLISM |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: APRT |
MedGen: APRT (Human Medical Genetics with Condition) | |
ClinVar: APRT | |
Phenotype | MGI: APRT (International Mouse Phenotyping Consortium) |
PhenomicDB: APRT |
Mutations for APRT |
* 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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There's no structural variation information in COSMIC data for this gene. |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows APRT 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 |
BG475137 | APRT | 20 | 106 | 16 | 88876852 | 88876939 | APRT | 103 | 597 | 16 | 88875882 | 88876876 | |
BQ222629 | TMEM185A | 1 | 402 | X | 148682100 | 148693035 | APRT | 402 | 812 | 16 | 88876477 | 88878314 |
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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=8) | (# total SNVs=6) |
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(# total SNVs=0) | (# total SNVs=0) |
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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 |
chr16:88878307-88878307 | p.M1V | 2 |
chr16:88876116-88876116 | p.Q178R | 2 |
chr16:88876190-88876190 | p.C153C | 1 |
chr16:88877971-88877971 | p.I58I | 1 |
chr16:88876198-88876198 | p.L151L | 1 |
chr16:88878028-88878028 | p.F39F | 1 |
chr16:88876199-88876199 | p.V150V | 1 |
chr16:88878041-88878041 | p.D35G | 1 |
chr16:88876484-88876484 | p.T132A | 1 |
chr16:88878048-88878048 | p.L33L | 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 | 1 |   | 1 | 2 |   |   |   |   |   |   |   | 1 |   |   |   |   | 2 | 3 |   | 2 |
# mutation | 1 |   | 1 | 2 |   |   |   |   |   |   |   | 1 |   |   |   |   | 2 | 3 |   | 2 |
nonsynonymous SNV |   |   |   |   |   |   |   |   |   |   |   | 1 |   |   |   |   | 2 | 2 |   |   |
synonymous SNV | 1 |   | 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 |
chr16:88876484 | p.L130L,APRT | 1 |
chr16:88876490 | p.Q121H,APRT | 1 |
chr16:88876515 | p.L103M,APRT | 1 |
chr16:88876845 | p.R89W,APRT | 1 |
chr16:88876887 | p.R87G,APRT | 1 |
chr16:88876893 | p.A76A,APRT | 1 |
chr16:88876924 | p.I58I,APRT | 1 |
chr16:88877971 | p.F39F,APRT | 1 |
chr16:88876157 | p.R14R,APRT | 1 |
chr16:88878028 | p.G164G | 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 APRT |
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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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APRT,AURKAIP1,UQCC3,C19orf60,CHMP1A,COPE,COX4I1, CTU2,FAM96B,GADD45GIP1,KLHDC4,MRPL41,MVD,PDF, RPL13,SPATA2L,SURF2,TMEM208,TRADD,TRAPPC2L,ZNF593 | APRT,TEN1,CHID1,CNPY2,DDX49,EEF1D,EIF6, EXOSC4,HMG20B,ITPA,LSM7,MRPS26,NHP2,NME2, PES1,RPS15,RPUSD1,RUVBL2,SLC27A5,TIMM13,TRAPPC6A | ||||
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APRT,UQCC3,C16orf13,COA4,COX4I1,CTU2,FAM195A, FAM96B,MLST8,MRPS34,NDUFB10,NTHL1,NUBP2,NUTF2, PPP4C,TEX264,THOC6,PAM16,TMEM208,TRAPPC2L,TUFM | AHCY,APRT,BID,TMEM258,DCTPP1,EXOSC5,KRTCAP3, LSM7,MLST8,MRPS12,NME2,NR2C2AP,PFDN6,PHB2, PHB,SF3B5,SNRPB,SYNGR2,TARBP2,THOC6,URM1 |
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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 APRT |
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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 |
DB00173 | adenine phosphoribosyltransferase | approved; nutraceutical | Adenine | ![]() | ![]() |
DB01632 | adenine phosphoribosyltransferase | experimental | Alpha-Phosphoribosylpyrophosphoric Acid | ![]() | ![]() |
DB03506 | adenine phosphoribosyltransferase | experimental | 9-Deazaadenine | ![]() | ![]() |
DB04272 | adenine phosphoribosyltransferase | experimental | Citric Acid | ![]() | ![]() |
DB00640 | adenine phosphoribosyltransferase | approved; investigational | Adenosine | ![]() | ![]() |
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Cross referenced IDs for APRT |
* 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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