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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for IPPK |
Basic gene info. | Gene symbol | IPPK |
Gene name | inositol 1,3,4,5,6-pentakisphosphate 2-kinase | |
Synonyms | C9orf12|INSP5K2|IP5K|IPK1|bA476B13.1 | |
Cytomap | UCSC genome browser: 9q22.31 | |
Genomic location | chr9 :95375465-95432547 | |
Type of gene | protein-coding | |
RefGenes | NM_022755.5, | |
Ensembl id | ENSG00000127080 | |
Description | IPK1 homologbA476B13.1 (novel protein)inositol-pentakisphosphate 2-kinaseins(1,3,4,5,6)P5 2-kinaseinsP5 2-kinase | |
Modification date | 20141207 | |
dbXrefs | HGNC : HGNC | |
Ensembl : ENSG00000127080 | ||
HPRD : 10799 | ||
Vega : OTTHUMG00000020231 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_IPPK | |
BioGPS: 64768 | ||
Gene Expression Atlas: ENSG00000127080 | ||
The Human Protein Atlas: ENSG00000127080 | ||
Pathway | NCI Pathway Interaction Database: IPPK | |
KEGG: IPPK | ||
REACTOME: IPPK | ||
ConsensusPathDB | ||
Pathway Commons: IPPK | ||
Metabolism | MetaCyc: IPPK | |
HUMANCyc: IPPK | ||
Regulation | Ensembl's Regulation: ENSG00000127080 | |
miRBase: chr9 :95,375,465-95,432,547 | ||
TargetScan: NM_022755 | ||
cisRED: ENSG00000127080 | ||
Context | iHOP: IPPK | |
cancer metabolism search in PubMed: IPPK | ||
UCL Cancer Institute: IPPK | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for IPPK(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: IPPK |
Familial Cancer Database: IPPK |
* 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 | |
KEGG_INOSITOL_PHOSPHATE_METABOLISM |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: IPPK |
MedGen: IPPK (Human Medical Genetics with Condition) | |
ClinVar: IPPK | |
Phenotype | MGI: IPPK (International Mouse Phenotyping Consortium) |
PhenomicDB: IPPK |
Mutations for IPPK |
* 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 |
There's no structural variation information in COSMIC data for this gene. |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows IPPK 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 |
CF595670 | CORO2A | 5 | 67 | 9 | 100934909 | 100934971 | IPPK | 65 | 411 | 9 | 95398014 | 95415281 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
There's no copy number variation information in COSMIC data for this gene. |
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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=24) | (# total SNVs=7) |
(# 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 |
chr9:95405063-95405063 | p.S178R | 2 |
chr9:95400352-95400352 | p.P283A | 2 |
chr9:95400511-95400511 | p.W230R | 2 |
chr9:95420948-95420948 | p.R33W | 2 |
chr9:95397513-95397513 | p.L332M | 2 |
chr9:95378269-95378269 | p.D441H | 2 |
chr9:95397569-95397569 | p.S313L | 2 |
chr9:95378327-95378327 | p.R421R | 1 |
chr9:95418779-95418779 | p.V62I | 1 |
chr9:95397576-95397576 | p.E311Q | 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 | 2 | 2 |   | 8 | 1 |   | 1 |   | 2 |   |   | 1 | 1 | 2 |   | 1 | 3 | 5 |   | 1 |
# mutation | 2 | 2 |   | 7 | 1 |   | 1 |   | 2 |   |   | 1 | 1 | 2 |   | 1 | 3 | 7 |   | 2 |
nonsynonymous SNV | 2 |   |   | 5 | 1 |   |   |   | 2 |   |   | 1 | 1 | 2 |   |   | 2 | 6 |   | 2 |
synonymous SNV |   | 2 |   | 2 |   |   | 1 |   |   |   |   |   |   |   |   | 1 | 1 | 1 |   |   |
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 |
chr9:95400511 | p.W230R | 2 |
chr9:95411818 | p.S313L | 1 |
chr9:95381788 | p.C159Y | 1 |
chr9:95400515 | p.P283L | 1 |
chr9:95414916 | p.P145H | 1 |
chr9:95397502 | p.R277Q | 1 |
chr9:95400522 | p.R125C | 1 |
chr9:95418779 | p.R267Q | 1 |
chr9:95397569 | p.Y111H | 1 |
chr9:95400529 | p.V264M | 1 |
Other DBs for Point Mutations |
Copy Number for IPPK 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 IPPK |
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 |
AUH,C9orf41,INIP,C9orf91,FAM120A,GLE1,IARS, IPPK,KIAA0368,NAA35,NOL8,RAD23B,RASEF,RBM18, RNF20,SECISBP2,SPTLC1,TDRD7,TSTD2,UBQLN1,WDR31 | TMEM241,C3orf52,CDS1,CORO2A,DLG3,HDAC1,ILDR1, IPPK,LMX1B,LRRC8E,MARVELD2,PIP4K2C,RAB11FIP4,RAB3IP, RBM47,RUNDC1,SLC37A1,SLC4A5,STX3,TBC1D22B,ZNF544 |
ARPC5L,CEP78,DNAJC25,FANCC,FXN,GLE1,HIATL1, IARS,IKBKAP,IPPK,MCM10,MELK,NUP188,ODF2, PRPF4,RAD23B,RELT,SHCBP1,SLC31A1,SMC2,TRIM14 | CDC25A,FUT4,IPPK,KCTD5,KLHL18,LRRC59,MCL1, NOP2,NSUN2,PDE12,PHLDA2,PIGW,PSME3,PTPN1, RDH13,SERPINB8,SRSF2,SRRT,TOMM40,TUBB4B,WDR4 |
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 IPPK |
There's no related Drug. |
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Cross referenced IDs for IPPK |
* 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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