|
Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for EIF5 |
Basic gene info. | Gene symbol | EIF5 |
Gene name | eukaryotic translation initiation factor 5 | |
Synonyms | EIF-5|EIF-5A | |
Cytomap | UCSC genome browser: 14q32.32 | |
Genomic location | chr14 :103801235-103811361 | |
Type of gene | protein-coding | |
RefGenes | NM_001969.4, NM_183004.4, | |
Ensembl id | ENSG00000100664 | |
Description | - | |
Modification date | 20141207 | |
dbXrefs | MIM : 601710 | |
HGNC : HGNC | ||
Ensembl : ENSG00000100664 | ||
HPRD : 03417 | ||
Vega : OTTHUMG00000171839 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_EIF5 | |
BioGPS: 1983 | ||
Gene Expression Atlas: ENSG00000100664 | ||
The Human Protein Atlas: ENSG00000100664 | ||
Pathway | NCI Pathway Interaction Database: EIF5 | |
KEGG: EIF5 | ||
REACTOME: EIF5 | ||
ConsensusPathDB | ||
Pathway Commons: EIF5 | ||
Metabolism | MetaCyc: EIF5 | |
HUMANCyc: EIF5 | ||
Regulation | Ensembl's Regulation: ENSG00000100664 | |
miRBase: chr14 :103,801,235-103,811,361 | ||
TargetScan: NM_001969 | ||
cisRED: ENSG00000100664 | ||
Context | iHOP: EIF5 | |
cancer metabolism search in PubMed: EIF5 | ||
UCL Cancer Institute: EIF5 | ||
Assigned class in ccmGDB | C |
Top |
Phenotypic Information for EIF5(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: EIF5 |
Familial Cancer Database: EIF5 |
* This gene is included in those cancer gene databases. |
. | ||||||||||||||||||||
Oncogene 1 | Significant driver gene in |
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/ |
Metabolic Pathway Description | |
REACTOME_METABOLISM_OF_PROTEINS |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: EIF5 |
MedGen: EIF5 (Human Medical Genetics with Condition) | |
ClinVar: EIF5 | |
Phenotype | MGI: 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. |
Structural Variants in COSMIC: go to COSMIC mutation histogram |
- Statistics for Tissue and Mutation type | Top |
- 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'. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
ovary | EIF5 | chr14 | 103808265 | 103808285 | CDC42BPB | chr14 | 103424659 | 103424679 |
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) |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows EIF5 related fusion information. |
ID | Head Gene | Tail Gene | Accession | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a |
AI133642 | ITPR2 | 1 | 83 | 12 | 26853999 | 26854081 | EIF5 | 82 | 630 | 14 | 103800574 | 103802408 | |
BM833559 | REV1 | 1 | 280 | 2 | 100019515 | 100021011 | EIF5 | 261 | 461 | 14 | 103804688 | 103805151 | |
BI058894 | AKIP1 | 8 | 206 | 11 | 8941010 | 8941208 | EIF5 | 200 | 456 | 14 | 103810337 | 103810593 | |
DB066453 | EIF5 | 1 | 67 | 14 | 103804245 | 103804311 | BOP1 | 68 | 534 | 8 | 145505145 | 145505610 |
Other DBs for Structural Variants |
Top |
Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
There's no copy number variation information in COSMIC data for this gene. |
Top |
SNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation |
|
Top |
Somatic Mutation Counts per Tissue in COSMIC data |
Stat. for Non-Synonymous SNVs (# total SNVs=33) | (# total SNVs=4) |
(# total SNVs=4) | (# total SNVs=0) |
Top |
Top 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 position | Mutation(aa) | Unique sampleID count |
chr14:103803541-103803541 | p.T139I | 2 |
chr14:103807346-103807346 | p.K418M | 2 |
chr14:103805130-103805130 | p.R215Q | 2 |
chr14:103807366-103807372 | p.D425fs*>5 | 2 |
chr14:103805187-103805187 | p.R234K | 2 |
chr14:103802238-103802238 | p.Y14F | 2 |
chr14:103802241-103802241 | p.R15H | 1 |
chr14:103805576-103805576 | p.D271G | 1 |
chr14:103803484-103803484 | p.N120I | 1 |
chr14:103806856-103806856 | p.E388D | 1 |
Top |
SNV Counts per Each Loci in TCGA data |
|
Point Mutation/ Tissue ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
# sample |   | 3 | 1 | 3 |   |   | 2 | 1 | 3 |   |   | 2 | 3 |   |   | 1 | 5 | 5 |   | 2 |
# mutation |   | 3 | 1 | 4 |   |   | 2 | 1 | 3 |   |   | 2 | 3 |   |   | 1 | 5 | 6 |   | 2 |
nonsynonymous SNV |   | 2 | 1 | 4 |   |   | 1 | 1 | 3 |   |   | 1 | 2 |   |   |   | 2 | 5 |   | 2 |
synonymous SNV |   | 1 |   |   |   |   | 1 |   |   |   |   | 1 | 1 |   |   | 1 | 3 | 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]) |
Top |
Top 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 Position | Mutation(aa) | Unique sampleID count |
chr14:103802243 | p.V42I,EIF5 | 1 |
chr14:103804719 | p.I352V,EIF5 | 1 |
chr14:103807325 | p.T51T,EIF5 | 1 |
chr14:103802255 | p.E388D,EIF5 | 1 |
chr14:103804740 | p.H80Y,EIF5 | 1 |
chr14:103807346 | p.E402K,EIF5 | 1 |
chr14:103802419 | p.F96C,EIF5 | 1 |
chr14:103805183 | p.V411A,EIF5 | 1 |
chr14:103807359 | p.K115K,EIF5 | 1 |
chr14:103802424 | p.K418R,EIF5 | 1 |
Other DBs for Point Mutations |
Copy 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] |
Top |
Gene Expression for EIF5 |
Gene 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. |
Differential 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 |
CNV vs Gene Expression Plot |
* This plots show the correlation between CNV and gene expression. |
Top |
Gene-Gene Network Information |
Co-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 |
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 |
Co-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 |
Top |
Interacting Genes (from Pathway Commons) |
Top |
Pharmacological Information for EIF5 |
There's no related Drug. |
Top |
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 |
Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @ |