Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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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 EEF1G
Basic gene info.Gene symbolEEF1G
Gene nameeukaryotic translation elongation factor 1 gamma
SynonymsEF1G|GIG35
CytomapUCSC genome browser: 11q12.3
Genomic locationchr11 :62327072-62341460
Type of geneprotein-coding
RefGenesNM_001404.4,
Ensembl idENSG00000254772
DescriptionEF-1-gammaPRO1608eEF-1B gammaelongation factor 1-gammapancreatic tumor-related proteintranslation elongation factor eEF-1 gamma chain
Modification date20141207
dbXrefs MIM : 130593
HGNC : HGNC
Ensembl : ENSG00000254772
HPRD : 11745
Vega : OTTHUMG00000167567
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_EEF1G
BioGPS: 1937
Gene Expression Atlas: ENSG00000254772
The Human Protein Atlas: ENSG00000254772
PathwayNCI Pathway Interaction Database: EEF1G
KEGG: EEF1G
REACTOME: EEF1G
ConsensusPathDB
Pathway Commons: EEF1G
MetabolismMetaCyc: EEF1G
HUMANCyc: EEF1G
RegulationEnsembl's Regulation: ENSG00000254772
miRBase: chr11 :62,327,072-62,341,460
TargetScan: NM_001404
cisRED: ENSG00000254772
ContextiHOP: EEF1G
cancer metabolism search in PubMed: EEF1G
UCL Cancer Institute: EEF1G
Assigned class in ccmGDBC

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Phenotypic Information for EEF1G(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: EEF1G
Familial Cancer Database: EEF1G
* 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: EEF1G
MedGen: EEF1G (Human Medical Genetics with Condition)
ClinVar: EEF1G
PhenotypeMGI: EEF1G (International Mouse Phenotyping Consortium)
PhenomicDB: EEF1G

Mutations for EEF1G
* 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
ovaryEEF1Gchr116232911662329136EEF1Gchr116232927962329299
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 EEF1G related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BI046948EEF1G13126116233492962338479EEF1G121405116233496462339115
BP392614EEF1G1190116233433762334914TOX2191501204269794242698252

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 # sample          1      
GAIN (# sample)          1      
LOSS (# sample)                 
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=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=20)
Stat. for Synonymous SNVs
(# total SNVs=15)
Stat. for Deletions
(# total SNVs=1)
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
chr11:62339344-62339344p.F67L2
chr11:62340167-62340167p.I20I1
chr11:62334327-62334327p.L270L1
chr11:62338515-62338515p.T148T1
chr11:62339348-62339348p.G66E1
chr11:62327225-62327225p.R414*1
chr11:62341304-62341304p.G4V1
chr11:62334336-62334336p.E267K1
chr11:62338525-62338525p.Y145fs*21
chr11:62339366-62339366p.A60V1

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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=3

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample2  2    1  112  38 11
# mutation2  1    1  122  37 13
nonsynonymous SNV2  1    1  112  13 6
synonymous SNV   1        1   24 7
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
chr11:62339344p.F67F3
chr11:62338497p.G154G2
chr11:62340129p.E71D1
chr11:62327658p.E331E1
chr11:62338515p.R327L1
chr11:62340137p.G66E1
chr11:62327791p.D317D1
chr11:62338549p.A60V1
chr11:62340139p.L270L1
chr11:62327804p.S33C1

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 EEF1G 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 EEF1G

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

EEF1B2,EEF1G,RPL10,RPL10A,RPL11,RPL13,RPL17,
RPL18A,RPL27A,RPL31,RPL32,RPL5,RPL6,RPL7A,
RPLP0,RPS10,RPS12,RPS18,RPS2,RPS27A,RPS8
EEF1B2,EEF1G,EIF3D,FBL,GNB2L1,IMPDH2,NOB1,
RPL10,RPL10A,RPL12,RPL14,RPL6,RPL7A,RPLP0,
RPS14,RPS18,RPS2,RPS3,RPS5,RPS6,RPS8

EEF1A1,EEF1A1P9,EEF1G,EIF3F,GNB2L1,RPL10A,RPL13,
RPL13A,RPL18,RPL29,RPL3,RPL37,RPL7A,RPLP0,
RPLP2,RPS13,RPS15,RPS25,RPS2,RPS3,RPS9
EEF1G,EIF3D,EIF3H,GNB2L1,RPL13,RPL13A,RPL18,
RPL19,RPL23A,RPL28,RPL32,RPL3,RPL36,RPL37,
RPL37A,RPLP0,RPLP2,RPS15,RPS19,RPS2,UBA52
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 EEF1G


There's no related Drug.
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Cross referenced IDs for EEF1G
* 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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