Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

Home

Search

Download

 Statistics

Help

About Us

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 EIF2B1
Basic gene info.Gene symbolEIF2B1
Gene nameeukaryotic translation initiation factor 2B, subunit 1 alpha, 26kDa
SynonymsEIF2B|EIF2BA
CytomapUCSC genome browser: 12q24.31
Genomic locationchr12 :124105569-124118323
Type of geneprotein-coding
RefGenesNM_001414.3,
Ensembl idENSG00000111361
DescriptioneIF-2B GDP-GTP exchange factor subunit alphatranslation initiation factor eIF-2B subunit alpha
Modification date20141219
dbXrefs MIM : 606686
HGNC : HGNC
HPRD : 09458
ProteinUniProt: Q14232
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_EIF2B1
BioGPS: 1967
Gene Expression Atlas: ENSG00000111361
The Human Protein Atlas: ENSG00000111361
PathwayNCI Pathway Interaction Database: EIF2B1
KEGG: EIF2B1
REACTOME: EIF2B1
ConsensusPathDB
Pathway Commons: EIF2B1
MetabolismMetaCyc: EIF2B1
HUMANCyc: EIF2B1
RegulationEnsembl's Regulation: ENSG00000111361
miRBase: chr12 :124,105,569-124,118,323
TargetScan: NM_001414
cisRED: ENSG00000111361
ContextiHOP: EIF2B1
cancer metabolism search in PubMed: EIF2B1
UCL Cancer Institute: EIF2B1
Assigned class in ccmGDBB - This gene belongs to cancer gene.

Top
Phenotypic Information for EIF2B1(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: EIF2B1
Familial Cancer Database: EIF2B1
* 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 603896; phenotype.
606686; gene.
Orphanet 157713; Congenital or early infantile CACH syndrome.
157716; Late infantile CACH syndrome.
157719; Juvenile or adult CACH syndrome.
99853; Ovarioleukodystrophy.
99854; Cree leukoencephalopathy.
DiseaseKEGG Disease: EIF2B1
MedGen: EIF2B1 (Human Medical Genetics with Condition)
ClinVar: EIF2B1
PhenotypeMGI: EIF2B1 (International Mouse Phenotyping Consortium)
PhenomicDB: EIF2B1

Mutations for EIF2B1
* 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
ovaryEIF2B1chr12124112624124112644TMEM132Bchr12125980405125980425
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 EIF2B1 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a

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

Top
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.

Top
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

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=17)
Stat. for Synonymous SNVs
(# total SNVs=4)
Stat. for Deletions
(# total SNVs=1)
Stat. for Insertions
(# total SNVs=0)
There's no inserted snv.

Top
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
chr12:124114935-124114935p.?3
chr12:124114820-124114820p.C89R2
chr12:124106442-124106442p.A260V2
chr12:124111688-124111688p.A129T2
chr12:124109419-124109419p.?2
chr12:124106441-124106441p.A260A1
chr12:124116941-124116941p.S22S1
chr12:124110991-124110991p.V178L1
chr12:124110995-124110995p.T176T1
chr12:124114943-124114943p.?1

Top
check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=4

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample12 22 1 2  121  45  
# mutation12 32 1 3  121  44  
nonsynonymous SNV 2 21   3  12   13  
synonymous SNV1  11 1      1  31  
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])

Top
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
chr12:124106442p.A260V2
chr12:124111662p.A260S1
chr12:124116941p.E40D1
chr12:124111688p.L238L1
chr12:124118093p.T29M1
chr12:124106443p.R237W1
chr12:124111689p.T29S1
chr12:124107222p.F233L1
chr12:124114778p.R28P1
chr12:124107227p.A181T1

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 EIF2B1 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]

Top
Gene Expression for EIF2B1

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

: Open all plots for all cancer types


Top
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

ANAPC5,ANAPC7,MAPKAPK5-AS1,C12orf65,C12orf73,DDX55,DENR,
DHX37,DIABLO,EIF2B1,MAPKAPK5,NUP37,POP5,PSMD9,
PWP1,RAN,RFC5,SETD8,SRSF9,TRIAP1,VPS29
C14orf166,BRK1,C4orf27,CDC16,CKS1B,COMMD6,COX7A2L,
EIF2B1,ESD,FBXO7,FRG1,HDDC2,MFF,PARL,
PFDN4,RAC1,RBM34,RFWD2,SEC22A,TMEM14C,UBE2V1

ANAPC5,ANAPC7,CCT2,DDX55,DENR,DIABLO,EIF2B1,
MAPKAPK5,MCTS1,METTL1,NOC4L,NABP2,OGFOD2,PA2G4,
PRR13,PUS1,PWP1,RBM19,SNRPF,TMEM5,ZNF26
DCTN3,DUSP12,DYRK4,EIF2B1,ERI3,FRG1,LYRM1,
LYRM4,MFF,MRPS6,NSMCE4A,POLR2G,PPP1R8,PRKAG1,
PWP1,THYN1,TMEM218,VPS72,WDR70,ZNF530,ZNHIT3
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

Top
check002.gifInteracting Genes (from Pathway Commons)

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

Top
Pharmacological Information for EIF2B1


There's no related Drug.
Top
Cross referenced IDs for EIF2B1
* 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



Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @
Site Policies | State of Texas