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 EIF5
Basic gene info.Gene symbolEIF5
Gene nameeukaryotic translation initiation factor 5
SynonymsEIF-5|EIF-5A
CytomapUCSC genome browser: 14q32.32
Genomic locationchr14 :103801235-103811361
Type of geneprotein-coding
RefGenesNM_001969.4,
NM_183004.4,
Ensembl idENSG00000100664
Description-
Modification date20141207
dbXrefs MIM : 601710
HGNC : HGNC
Ensembl : ENSG00000100664
HPRD : 03417
Vega : OTTHUMG00000171839
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_EIF5
BioGPS: 1983
Gene Expression Atlas: ENSG00000100664
The Human Protein Atlas: ENSG00000100664
PathwayNCI Pathway Interaction Database: EIF5
KEGG: EIF5
REACTOME: EIF5
ConsensusPathDB
Pathway Commons: EIF5
MetabolismMetaCyc: EIF5
HUMANCyc: EIF5
RegulationEnsembl's Regulation: ENSG00000100664
miRBase: chr14 :103,801,235-103,811,361
TargetScan: NM_001969
cisRED: ENSG00000100664
ContextiHOP: EIF5
cancer metabolism search in PubMed: EIF5
UCL Cancer Institute: EIF5
Assigned class in ccmGDBC

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Phenotypic Information for EIF5(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: EIF5
Familial Cancer Database: EIF5
* 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
Orphanet
DiseaseKEGG Disease: EIF5
MedGen: EIF5 (Human Medical Genetics with Condition)
ClinVar: EIF5
PhenotypeMGI: EIF5 (International Mouse Phenotyping Consortium)
PhenomicDB: EIF5

Mutations for EIF5
* 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

- Statistics for Tissue and Mutation typeTop
- For Inter-chromosomal Variations
There's no inter-chromosomal structural variation.
- For Intra-chromosomal Variations
* Intra-chromosomal variantions includes 'intrachromosomal amplicon to amplicon', 'intrachromosomal amplicon to non-amplified dna', 'intrachromosomal deletion', 'intrachromosomal fold-back inversion', 'intrachromosomal inversion', 'intrachromosomal tandem duplication', 'Intrachromosomal unknown type', 'intrachromosomal with inverted orientation', 'intrachromosomal with non-inverted orientation'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
ovaryEIF5chr14103808265103808285CDC42BPBchr14103424659103424679
cf) Tissue number; Tissue name (1;Breast, 2;Central_nervous_system, 3;Haematopoietic_and_lymphoid_tissue, 4;Large_intestine, 5;Liver, 6;Lung, 7;Ovary, 8;Pancreas, 9;Prostate, 10;Skin, 11;Soft_tissue, 12;Upper_aerodigestive_tract)

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows EIF5 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AI133642ITPR2183122685399926854081EIF58263014103800574103802408
BM833559REV112802100019515100021011EIF526146114103804688103805151
BI058894AKIP182061189410108941208EIF520045614103810337103810593
DB066453EIF516714103804245103804311BOP1685348145505145145505610

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=33)
Stat. for Synonymous SNVs
(# total SNVs=4)
Stat. for Deletions
(# total SNVs=4)
Stat. for Insertions
(# total SNVs=0)
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
chr14:103803541-103803541p.T139I2
chr14:103807346-103807346p.K418M2
chr14:103805130-103805130p.R215Q2
chr14:103807366-103807372p.D425fs*>52
chr14:103805187-103805187p.R234K2
chr14:103802238-103802238p.Y14F2
chr14:103802241-103802241p.R15H1
chr14:103805576-103805576p.D271G1
chr14:103803484-103803484p.N120I1
chr14:103806856-103806856p.E388D1

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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=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample 313  213  23  155 2
# mutation 314  213  23  156 2
nonsynonymous SNV 214  113  12   25 2
synonymous SNV 1    1    11  131  
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
chr14:103802243p.V42I,EIF51
chr14:103804719p.I352V,EIF51
chr14:103807325p.T51T,EIF51
chr14:103802255p.E388D,EIF51
chr14:103804740p.H80Y,EIF51
chr14:103807346p.E402K,EIF51
chr14:103802419p.F96C,EIF51
chr14:103805183p.V411A,EIF51
chr14:103807359p.K115K,EIF51
chr14:103802424p.K418R,EIF51

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 EIF5 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 EIF5

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

CCDC58,DNAJC2,EIF5B,FAM136A,GEMIN6,GNL2,MAGOH,
MEMO1,MPHOSPH10,MRPS9,NDUFS5,NOL10,NOP58,NUTF2,
PDCL3,PDSS1,RPP40,SNRPG,SSB,SSBP1,UTP11L
C6orf203,CWC27,DNAJC7,DNAJC8,EIF2S2,EIF4E2,EIF5B,
FAM118B,HTATSF1,LSM1,PRPS1,PSMC2,PSMD1,PSMD7,
RBM17,SBDS,TTC1,UBC,UBE2G2,XPA,ZCRB1

CCAR1,CWC22,EIF5B,HNRNPA2B1,HNRNPA3,HNRNPU,IWS1,
LTV1,MPHOSPH10,MRPS5,MRPS9,NCL,NOP58,POU2F1,
PPIG,PPM1G,RPF2,SSB,TARDBP,WDR75,WDR92
ADAMTS9,AKAP12,ARMCX3,CELF2,DDX19A,DDX24,DYX1C1,
EIF5B,LBR,NAV2,NUCKS1,OXCT1,PBRM1,PRKAR1A,
PTPN11,ROCK1,SEC63,SRP68,SUPT16H,TCOF1,ZC3H13
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 EIF5


There's no related Drug.
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Cross referenced IDs for EIF5
* 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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