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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for NUDT12 |
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Phenotypic Information for NUDT12(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: NUDT12 |
Familial Cancer Database: NUDT12 |
* 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_NICOTINATE_AND_NICOTINAMIDE_METABOLISM |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: NUDT12 |
MedGen: NUDT12 (Human Medical Genetics with Condition) | |
ClinVar: NUDT12 | |
Phenotype | MGI: NUDT12 (International Mouse Phenotyping Consortium) |
PhenomicDB: NUDT12 |
Mutations for NUDT12 |
* 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 NUDT12 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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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=29) | (# total SNVs=8) |
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(# total SNVs=1) | (# 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 |
chr5:102894933-102894933 | p.T148I | 3 |
chr5:102894586-102894586 | p.E264Q | 2 |
chr5:102894709-102894709 | p.G223* | 2 |
chr5:102891660-102891660 | p.G312G | 2 |
chr5:102886569-102886569 | p.N461I | 2 |
chr5:102891756-102891756 | p.R280R | 2 |
chr5:102891757-102891757 | p.R280Q | 2 |
chr5:102887953-102887953 | p.E415K | 1 |
chr5:102895036-102895036 | p.V114L | 1 |
chr5:102890503-102890503 | p.L339fs*1 | 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 |   |   | 4 | 1 |   | 4 |   | 2 |   |   | 2 | 1 |   |   |   | 1 | 5 | 1 | 6 |
# mutation | 1 |   |   | 4 | 1 |   | 4 |   | 2 |   |   | 2 | 1 |   |   |   | 1 | 5 | 1 | 6 |
nonsynonymous SNV | 1 |   |   | 3 | 1 |   | 3 |   | 1 |   |   | 2 | 1 |   |   |   | 1 | 4 | 1 | 4 |
synonymous SNV |   |   |   | 1 |   |   | 1 |   | 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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* 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 |
chr5:102891660 | p.G312G | 2 |
chr5:102890447 | p.V267V | 1 |
chr5:102894586 | p.E264Q | 1 |
chr5:102895751 | p.L257L | 1 |
chr5:102890452 | p.D429G | 1 |
chr5:102894605 | p.N246T | 1 |
chr5:102895788 | p.E415K | 1 |
chr5:102890459 | p.L210F | 1 |
chr5:102894639 | p.K410R | 1 |
chr5:102890483 | p.P158S | 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 NUDT12 |
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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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ANKRA2,CSNK1G3,DCTN4,FAM114A2,FBXL17,FBXL5,FNIP1, FOXA1,GIN1,NDFIP1,NUDT12,PGGT1B,PJA2,POLK, RAD17,RAD50,SCAMP1,TMED7,TMEM161B,TRIM23,YTHDC2 | ANGEL2,CBR4,CD2AP,DTWD2,GPD2,IKZF5,KLHL28, METTL15,MIER3,MOB1B,MPP5,NUDT12,NUPL1,RAD1, SLC30A9,THAP5,TRIM33,TRUB1,ZBTB41,ZNF24,ZNF680 |
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ACN9,ANKRA2,C3orf38,C4orf33,C5orf30,TRAPPC13,C6orf57, CAPZA2,COMMD10,CRBN,DERA,FPGT,HIGD1A,MAT2B, MRPS36,NUDT12,RNF14,SAMD13,SKP1,SLC25A46,ZCCHC10 | ATG5,SFR1,C18orf32,C6orf211,CTDSPL2,EBAG9,FPGT, NDUFB5,NUDT12,NXT2,OCIAD1,ORC4,RNF14,SCOC, SDHD,SRP9,TGDS,TM2D1,TMEM106B,TMEM68,TWF1 |
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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 NUDT12 |
There's no related Drug. |
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Cross referenced IDs for NUDT12 |
* 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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