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 EIF3G
Basic gene info.Gene symbolEIF3G
Gene nameeukaryotic translation initiation factor 3, subunit G
SynonymsEIF3-P42|EIF3S4|eIF3-delta|eIF3-p44
CytomapUCSC genome browser: 19p13.2
Genomic locationchr19 :10225689-10230599
Type of geneprotein-coding
RefGenesNM_003755.3,
Ensembl idENSG00000130811
DescriptioneIF-3 RNA-binding subuniteIF-3-deltaeIF3 p42eIF3 p44eukaryotic translation initiation factor 3 RNA-binding subuniteukaryotic translation initiation factor 3 subunit 4eukaryotic translation initiation factor 3 subunit Geukaryotic translation initiat
Modification date20141207
dbXrefs MIM : 603913
HGNC : HGNC
Ensembl : ENSG00000130811
HPRD : 04886
Vega : OTTHUMG00000180396
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_EIF3G
BioGPS: 8666
Gene Expression Atlas: ENSG00000130811
The Human Protein Atlas: ENSG00000130811
PathwayNCI Pathway Interaction Database: EIF3G
KEGG: EIF3G
REACTOME: EIF3G
ConsensusPathDB
Pathway Commons: EIF3G
MetabolismMetaCyc: EIF3G
HUMANCyc: EIF3G
RegulationEnsembl's Regulation: ENSG00000130811
miRBase: chr19 :10,225,689-10,230,599
TargetScan: NM_003755
cisRED: ENSG00000130811
ContextiHOP: EIF3G
cancer metabolism search in PubMed: EIF3G
UCL Cancer Institute: EIF3G
Assigned class in ccmGDBC

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Phenotypic Information for EIF3G(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: EIF3G
Familial Cancer Database: EIF3G
* 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: EIF3G
MedGen: EIF3G (Human Medical Genetics with Condition)
ClinVar: EIF3G
PhenotypeMGI: EIF3G (International Mouse Phenotyping Consortium)
PhenomicDB: EIF3G

Mutations for EIF3G
* 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
ovaryEIF3Gchr191022786710227887EIF3Gchr191022986710229887
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 EIF3G related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BU844738EIF3G1325191022934410230560TSEN54324890177351935473520727

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          2      
GAIN (# sample)          2      
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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=15)
Stat. for Synonymous SNVs
(# total SNVs=9)
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
chr19:10226256-10226256p.F282F3
chr19:10229349-10229349p.R99W2
chr19:10229782-10229782p.P45S1
chr19:10226423-10226423p.F259F1
chr19:10227521-10227521p.E184K1
chr19:10229788-10229788p.P43S1
chr19:10226424-10226424p.F259Y1
chr19:10227659-10227659p.N138H1
chr19:10229837-10229837p.V26V1
chr19:10225802-10225802p.P317P1

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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
# sample 3 1  3 11 21   36 2
# mutation 3 1  3 11 21   36 3
nonsynonymous SNV 1 1  2    21   26 3
synonymous SNV 2    1 11      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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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
chr19:10226446p.Q207H1
chr19:10229788p.E192K1
chr19:10226486p.N311N1
chr19:10229837p.Q152Q1
chr19:10226169p.E143K1
chr19:10226670p.Y305Y1
chr19:10230359p.R98K1
chr19:10226187p.S301P1
chr19:10226702p.P45S1
chr19:10230530p.A294V1

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 EIF3G 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 EIF3G

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

ALKBH7,C19orf60,C19orf70,CDC37,ECSIT,EIF3G,FDX1L,
MAP2K2,MRPL4,NDUFA11,NDUFB7,PGLS,PIN1,PPAN,
QTRT1,RPL36,RPS15,RPS9,TMED1,ZNF414,ZNF653
VPS51___IFT46,C12orf10,EDF1,EEF1D,EIF3G,FAU,NT5C,
POLR2F,PQBP1,PRDX5,RPL13,RPL18,RPL35,RPL36,
RPL8,RPLP1,RPS15,RUVBL2,SNRPD2,SURF2,WDR74

C19orf43,KXD1,C19orf52,WDR83OS,C19orf60,C19orf70,ECSIT,
EIF3G,GADD45GIP1,GNB2L1,GTF2F1,KEAP1,PIN1,PPAN,
RFXANK,RPL36,RPS15,TMEM161A,UBA52,WDR83,XAB2
ABHD14A,ALKBH4,C12orf10,C1orf35,C6orf48,CUEDC2,DPP7,
DRG2,EEF1D,EIF3G,FUZ,GLTSCR2,HSF1,MGC16275,
NLE1,POLR1E,PPOX,SNAP47,TAB1,WDR83,ZNF581
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 EIF3G


There's no related Drug.
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Cross referenced IDs for EIF3G
* 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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