Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

Gene Summary

Phenotypic Information (metabolism pathway, cancer, disease, phenome)

Mutations: SVs, CNVs, SNVs

Gene expression: GE, Protein, DEGE, CNV vs GE

Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG

Pharmacological Information: Drug-Gene Network

Cross referenced IDs

Gene Summary for NUP88
Basic gene info.Gene symbolNUP88
Gene namenucleoporin 88kDa
Synonyms-
CytomapUCSC genome browser: 17p13.2
Genomic locationchr17 :5289345-5323059
Type of geneprotein-coding
RefGenesNM_002532.4,
Ensembl idENSG00000108559
Description88 kDa nucleoporinkaryoporinnuclear pore complex protein 88nuclear pore complex protein Nup88nucleoporin 88kDnucleoporin Nup88
Modification date20141207
dbXrefs MIM : 602552
HGNC : HGNC
Ensembl : ENSG00000108559
HPRD : 03974
Vega : OTTHUMG00000099453
ProteinUniProt: Q99567
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_NUP88
BioGPS: 4927
Gene Expression Atlas: ENSG00000108559
The Human Protein Atlas: ENSG00000108559
PathwayNCI Pathway Interaction Database: NUP88
KEGG: NUP88
REACTOME: NUP88
ConsensusPathDB
Pathway Commons: NUP88
MetabolismMetaCyc: NUP88
HUMANCyc: NUP88
RegulationEnsembl's Regulation: ENSG00000108559
miRBase: chr17 :5,289,345-5,323,059
TargetScan: NM_002532
cisRED: ENSG00000108559
ContextiHOP: NUP88
cancer metabolism search in PubMed: NUP88
UCL Cancer Institute: NUP88
Assigned class in ccmGDBB - This gene belongs to cancer gene.

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Phenotypic Information for NUP88(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: NUP88
Familial Cancer Database: NUP88
* This gene is included in those cancer gene databases.

.

Oncogene 1

Tumor Suppressor gene 2

Cancer Gene Census 3

CancerGenes 4

Network of Cancer Gene 5

Significant driver gene in

Therapeutic Vulnerabilities in Cancer1

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/

check002.gifMetabolic Pathway Description
REACTOME_METABOLISM_OF_NON_CODING_RNA
REACTOME_METABOLISM_OF_RNA
REACTOME_METABOLISM_OF_CARBOHYDRATES

check002.gifOthers
OMIM 602552; gene.
Orphanet
DiseaseKEGG Disease: NUP88
MedGen: NUP88 (Human Medical Genetics with Condition)
ClinVar: NUP88
PhenotypeMGI: NUP88 (International Mouse Phenotyping Consortium)
PhenomicDB: NUP88

Mutations for NUP88
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows NUP88 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
DA165761FRMD4B112636926837469268499NUP881275771753198735322994
BE706779SF3B344157167058257270582685NUP881552281753198335319906

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

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check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample1         1      
GAIN (# sample)                 
LOSS (# sample)1         1      
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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check002.gifSNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation

 : Non-synonymous mutation, : Synonymous mutation, Circle size denotes number of samples.
Maximum mutation count=4

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=45)
Stat. for Synonymous SNVs
(# total SNVs=14)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.There's no inserted snv.

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check002.gifTop 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 positionMutation(aa)Unique sampleID count
chr17:5294927-5294927p.M480V2
chr17:5302963-5302963p.K400N2
chr17:5322727-5322727p.R82C2
chr17:5322741-5322741p.S77Y2
chr17:5307457-5307457p.F385Y2
chr17:5294966-5294966p.R467*2
chr17:5289552-5289552p.D734H2
chr17:5289580-5289580p.H724H2
chr17:5290033-5290033p.K719K2
chr17:5322843-5322843p.A43V2

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check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=2

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample21 111 2 31 5    48 8
# mutation31 101 2 31 5    48 9
nonsynonymous SNV31 81 1 11 4    25 7
synonymous SNV   2  1 2  1    23 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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check002.gifTop 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 PositionMutation(aa)Unique sampleID count
chr17:5289552p.D734N2
chr17:5308516p.A302V2
chr17:5308443p.P51S1
chr17:5314095p.D434E1
chr17:5294909p.I213I1
chr17:5322749p.S45S1
chr17:5308489p.L428I1
chr17:5289549p.N210K1
chr17:5314096p.A43V1
chr17:5294939p.A411S1

check002.gifOther DBs for Point Mutations
Point Mutation Table of Ensembl: go to Ensembl variation table
Mutation of cBioPortal: go to cBioPortal's Cross-cancer alteration summary

check002.gifCopy Number for NUP88 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 NUP88

check002.gifGene 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.

check002.gifDifferential 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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check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


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Gene-Gene Network Information
check002.gifCo-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

: Open all plots for all cancer types

C1QBP,COX10,DHX33,EIF4A1,FAM64A,GEMIN4,GSG2,
MIS12,MYBBP1A,NUP88,PITPNA,PRPF8,RPA1,RPAIN,
SCO1,SENP3,TSR1,UBE2G1,YWHAE,ZFP3,ZNF232
ATP5C1,CIRH1A,COPS3,EIF3J,FAF1,FARSB,FASTKD2,
KCMF1,METAP2,NUP88,OXNAD1,PAIP1,PLAA,PMPCB,
PRKRA,RABGGTB,SUPV3L1,TBCE,TCP1,TOMM70A,ZW10

AURKB,C1QBP,COPS3,COX10,EIF4A1,EIF5A,EIF5AL1,
ELAC2,GEMIN4,GLOD4,MIS12,NUP88,PRPSAP2,RNMTL1,
RPAIN,SCO1,SENP3,SLC25A11,TSR1,WRAP53,YWHAE
APOO,CCT2,DCAF13,EBNA1BP2,GNL3,HEATR3,HMBS,
HSPA14,HSPE1,ILF2,MRPL3,NUP37,NUP88,PCNA,
RAN,SLBP,TFDP1,TMX2,UBE2T,UTP6,VRK1
check002.gifCo-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

: Open all plots for all cancer types

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check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

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Pharmacological Information for NUP88


There's no related Drug.
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Cross referenced IDs for NUP88
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section

: Open all cross reference information



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