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 FBXW5
Basic gene info.Gene symbolFBXW5
Gene nameF-box and WD repeat domain containing 5
SynonymsFbw5
CytomapUCSC genome browser: 9q34.3
Genomic locationchr9 :139834884-139839206
Type of geneprotein-coding
RefGenesNM_018998.3,
NM_178225.1,NM_178226.1,
Ensembl idENSG00000159069
DescriptionF-box and WD-40 domain-containing protein 5F-box/WD repeat-containing protein 5WD repeat-containing F-box protein FBW5
Modification date20141207
dbXrefs MIM : 609072
HGNC : HGNC
Ensembl : ENSG00000159069
HPRD : 10955
Vega : OTTHUMG00000020967
ProteinUniProt: Q969U6
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_FBXW5
BioGPS: 54461
Gene Expression Atlas: ENSG00000159069
The Human Protein Atlas: ENSG00000159069
PathwayNCI Pathway Interaction Database: FBXW5
KEGG: FBXW5
REACTOME: FBXW5
ConsensusPathDB
Pathway Commons: FBXW5
MetabolismMetaCyc: FBXW5
HUMANCyc: FBXW5
RegulationEnsembl's Regulation: ENSG00000159069
miRBase: chr9 :139,834,884-139,839,206
TargetScan: NM_018998
cisRED: ENSG00000159069
ContextiHOP: FBXW5
cancer metabolism search in PubMed: FBXW5
UCL Cancer Institute: FBXW5
Assigned class in ccmGDBB - This gene belongs to cancer gene.

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Phenotypic Information for FBXW5(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: FBXW5
Familial Cancer Database: FBXW5
* 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_PROTEINS

check002.gifOthers
OMIM 609072; gene.
609072; gene.
Orphanet
DiseaseKEGG Disease: FBXW5
MedGen: FBXW5 (Human Medical Genetics with Condition)
ClinVar: FBXW5
PhenotypeMGI: FBXW5 (International Mouse Phenotyping Consortium)
PhenomicDB: FBXW5

Mutations for FBXW5
* 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 FBXW5 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BE832990FBXW532829139835137139835187PSMB1078133166797032767970383

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
There's no copy number variation information in COSMIC data for this gene.

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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=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=28)
Stat. for Synonymous SNVs
(# total SNVs=6)
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
chr9:139835816-139835816p.F448F2
chr9:139837929-139837929p.R75R2
chr9:139836018-139836018p.I405I2
chr9:139836527-139836527p.G356D1
chr9:139836904-139836904p.E230E1
chr9:139835484-139835484p.A533T1
chr9:139835803-139835803p.M453V1
chr9:139837823-139837823p.C110Y1
chr9:139836545-139836545p.Y350F1
chr9:139837005-139837005p.A223A1

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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
# sample2  6    11 12   23 9
# mutation2  6    11 12   23 10
nonsynonymous SNV2  3    11 12   12 8
synonymous SNV   3            11 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
chr9:139837324p.L201L1
chr9:139835488p.V484L1
chr9:139836545p.E169K1
chr9:139837342p.D470D1
chr9:139835553p.F143C1
chr9:139836636p.D470G1
chr9:139837370p.T141T1
chr9:139835710p.A462V1
chr9:139836644p.A440T1
chr9:139837920p.P135P1

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 FBXW5 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 FBXW5

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

ANAPC2,C9orf142,ARRDC1-AS1,C9orf69,RABL6,NELFB,EDF1,
FBXL15,FBXW5,GUK1,MBD3,NDOR1,NDUFS7,PHPT1,
PLEKHJ1,PMPCA,PTGES2,SNAPC4,SSNA1,TMUB1,TRAF2
AKT1S1,ANAPC11,AP2A1,CDC34,FBXW5,GPS1,ISOC2,
MRPL12,MRPL2,MRPL38,MRPL41,MRPL53,MRPS11,NDUFA13,
NDUFB7,NDUFB8,NDUFS8,SLC2A4RG,TIMM50,TWF2,VPS4A

CDK9,NELFB,COQ4,ECI1,EDF1,FBXW5,MAN1B1,
MRPL41,NANS,NPDC1,PPP2R4,RILP,SGSM3,SH3GLB2,
SIGIRR,SLC27A4,STARD10,SURF4,TOR2A,ZDHHC12,ZFYVE19
B3GALT4,CHMP1A,CTSD,EPN1,FBXW5,HPS1,KIAA2013,
MAP2K2,MAP3K11,MGAT4B,MPND,NAGPA,NAA60,PEX16,
RAB11B,RILP,RNPEPL1,STARD3,TMEM175,TNIP2,TRAF7
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 FBXW5


There's no related Drug.
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Cross referenced IDs for FBXW5
* 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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