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 EIF3C
Basic gene info.Gene symbolEIF3C
Gene nameeukaryotic translation initiation factor 3, subunit C
SynonymsEIF3CL|EIF3S8|eIF3-p110
CytomapUCSC genome browser: 16p11.2
Genomic locationchr16 :28722781-28747050
Type of geneprotein-coding
RefGenesNM_001037808.2,
NM_001199142.1,NM_001267574.2,NM_001286478.1,NM_003752.4,
Ensembl idENSG00000184110
Descriptioncell migration-inducing protein 17eIF3 p110eukaryotic translation initiation factor 3 subunit 8eukaryotic translation initiation factor 3 subunit Ceukaryotic translation initiation factor 3, subunit 8 (110kD)eukaryotic translation initiation factor 3
Modification date20141207
dbXrefs MIM : 603916
HGNC : HGNC
Ensembl : ENSG00000184110
HPRD : 04889
Vega : OTTHUMG00000099443
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_EIF3C
BioGPS: 8663
Gene Expression Atlas: ENSG00000184110
The Human Protein Atlas: ENSG00000184110
PathwayNCI Pathway Interaction Database: EIF3C
KEGG: EIF3C
REACTOME: EIF3C
ConsensusPathDB
Pathway Commons: EIF3C
MetabolismMetaCyc: EIF3C
HUMANCyc: EIF3C
RegulationEnsembl's Regulation: ENSG00000184110
miRBase: chr16 :28,722,781-28,747,050
TargetScan: NM_001037808
cisRED: ENSG00000184110
ContextiHOP: EIF3C
cancer metabolism search in PubMed: EIF3C
UCL Cancer Institute: EIF3C
Assigned class in ccmGDBC

Top
Phenotypic Information for EIF3C(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: EIF3C
Familial Cancer Database: EIF3C
* 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: EIF3C
MedGen: EIF3C (Human Medical Genetics with Condition)
ClinVar: EIF3C
PhenotypeMGI: EIF3C (International Mouse Phenotyping Consortium)
PhenomicDB: EIF3C

Mutations for EIF3C
* 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
pancreasEIF3Cchr162871084428710864ENPP1chr6132211113132211133
pancreasEIF3Cchr162874137328741393SHCBP1chr164663206646632086
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 EIF3C 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=2

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=12)
Stat. for Synonymous SNVs
(# total SNVs=3)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.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
chr16:28734640-28734640p.V311G2
chr16:28734619-28734619p.V304G1
chr16:28734801-28734801p.E323D1
chr16:28734620-28734620p.V304V1
chr16:28735765-28735765p.N388T1
chr16:28734621-28734621p.R305W1
chr16:28736317-28736317p.T462T1
chr16:28734622-28734622p.R305L1
chr16:28734626-28734626p.G306G1
chr16:28734627-28734627p.G307*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=0

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample                    
# mutation                    
nonsynonymous SNV                    
synonymous SNV                    
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

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 EIF3C 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 EIF3C

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

ADAM17,ANLN,COA7,CENPO,CKAP2L,CLSPN,DEPDC1,
EIF3C,FAM83D,GART,GSG2,MSH6,NUP155,ORC1,
PLK1,POLR1A,RNF168,SKP2,STIL,WDR43,XPO5
CCL18,CDRT15,CETP,EIF3C,GAD2,GAP43,HMOX1,
LOC150527,LRIT1,OR2AG1,OR8D1,RHOXF2B,SNORA19,SNORA21,
SPATA8,SPRR2F,SPRR2G,TECTB,TMEM114,VENTXP1,WNT1

EIF3C,HIST1H4K,LCE2B,FTX,OR6N2,OR8B3,POTEE,
PPIAL4B,PRAMEF17,PRAMEF3,REXO1L1P,SNORA38,SNORD16,SNORD35B,
SNORD88C,TP
BAG5,BPY2,CTRB1,EIF3C,FMO6P,FOSL1,FUT5,
GCM2,GJA3,GSTTP2,HAS1,KRT78,MESDC1,METTL11B,
MMP13,OR2T12,OR52M1,PNPLA5,SEC14L3,SYCN,TFDP3
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 EIF3C


There's no related Drug.
Top
Cross referenced IDs for EIF3C
* 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