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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for EIF4A1 |
Basic gene info. | Gene symbol | EIF4A1 |
Gene name | eukaryotic translation initiation factor 4A1 | |
Synonyms | DDX2A|EIF-4A|EIF4A|eIF-4A-I|eIF4A-I | |
Cytomap | UCSC genome browser: 17p13 | |
Genomic location | chr17 :7476023-7482324 | |
Type of gene | protein-coding | |
RefGenes | NM_001204510.1, NM_001416.3, | |
Ensembl id | ENSG00000161960 | |
Description | ATP-dependent RNA helicase eIF4A-1eukaryotic initiation factor 4A-Ieukaryotic initiation factor 4AIeukaryotic translation initiation factor 4A | |
Modification date | 20141207 | |
dbXrefs | MIM : 602641 | |
HGNC : HGNC | ||
Ensembl : ENSG00000161960 | ||
HPRD : 04030 | ||
Vega : OTTHUMG00000108149 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_EIF4A1 | |
BioGPS: 1973 | ||
Gene Expression Atlas: ENSG00000161960 | ||
The Human Protein Atlas: ENSG00000161960 | ||
Pathway | NCI Pathway Interaction Database: EIF4A1 | |
KEGG: EIF4A1 | ||
REACTOME: EIF4A1 | ||
ConsensusPathDB | ||
Pathway Commons: EIF4A1 | ||
Metabolism | MetaCyc: EIF4A1 | |
HUMANCyc: EIF4A1 | ||
Regulation | Ensembl's Regulation: ENSG00000161960 | |
miRBase: chr17 :7,476,023-7,482,324 | ||
TargetScan: NM_001204510 | ||
cisRED: ENSG00000161960 | ||
Context | iHOP: EIF4A1 | |
cancer metabolism search in PubMed: EIF4A1 | ||
UCL Cancer Institute: EIF4A1 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for EIF4A1(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: EIF4A1 |
Familial Cancer Database: EIF4A1 |
* This gene is included in those cancer gene databases. |
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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 REACTOME_METABOLISM_OF_MRNA REACTOME_METABOLISM_OF_RNA |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: EIF4A1 |
MedGen: EIF4A1 (Human Medical Genetics with Condition) | |
ClinVar: EIF4A1 | |
Phenotype | MGI: EIF4A1 (International Mouse Phenotyping Consortium) |
PhenomicDB: EIF4A1 |
Mutations for EIF4A1 |
* 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 |
There's no structural variation information in COSMIC data for this gene. |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows EIF4A1 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 |
CN430498 | FAM120A | 1 | 242 | 9 | 96278379 | 96289505 | EIF4A1 | 238 | 300 | 17 | 7482162 | 7482224 | |
BC006380 | NRF1 | 21 | 409 | 7 | 129351313 | 129367207 | EIF4A1 | 407 | 1574 | 17 | 7478436 | 7482036 | |
BQ670981 | CTSL1 | 1 | 556 | 9 | 90343574 | 90346046 | EIF4A1 | 551 | 840 | 17 | 7481876 | 7482163 | |
CB119692 | TRAF7 | 40 | 248 | 16 | 2227838 | 2228046 | EIF4A1 | 246 | 416 | 17 | 7482008 | 7482179 | |
AI371755 | EIF4A1 | 1 | 330 | 17 | 7481702 | 7482031 | HSPA2 | 325 | 384 | 14 | 65009163 | 65009222 | |
CD049225 | RPL37A | 10 | 88 | 2 | 217366106 | 217366184 | EIF4A1 | 89 | 889 | 17 | 7477605 | 7480964 | |
AU119214 | EIF4A1 | 1 | 291 | 17 | 7480337 | 7480805 | EIF4A1 | 292 | 788 | 17 | 7476144 | 7478035 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample |   | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) |   | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
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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SNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation |
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Somatic Mutation Counts per Tissue in COSMIC data |
Stat. for Non-Synonymous SNVs (# total SNVs=29) | (# total SNVs=8) |
(# total SNVs=0) | (# total SNVs=1) |
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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 |
chr17:7476179-7476179 | p.S7F | 4 |
chr17:7477965-7477965 | p.I58I | 2 |
chr17:7480012-7480012 | p.? | 2 |
chr17:7480906-7480906 | p.L263R | 2 |
chr17:7480414-7480414 | p.D185D | 2 |
chr17:7476181-7476181 | p.R8* | 2 |
chr17:7480777-7480777 | p.R247H | 1 |
chr17:7477962-7477963 | p.A57_I58insVFRDV | 1 |
chr17:7480995-7480995 | p.H293D | 1 |
chr17:7479928-7479928 | p.V144V | 1 |
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SNV Counts per Each Loci in TCGA data |
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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 | 1 |   | 3 |   | 1 |   | 1 |   |   |   |   | 2 | 4 | 3 |   |   | 1 | 3 | 1 | 6 |
# mutation | 1 |   | 3 |   | 1 |   | 1 |   |   |   |   | 2 | 5 | 3 |   |   | 1 | 3 | 1 | 6 |
nonsynonymous SNV | 1 |   | 1 |   | 1 |   | 1 |   |   |   |   | 2 | 5 | 1 |   |   | 1 | 1 |   | 4 |
synonymous SNV |   |   | 2 |   |   |   |   |   |   |   |   |   |   | 2 |   |   |   | 2 | 1 | 2 |
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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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 |
chr17:7478537 | p.V144V,EIF4A1 | 1 |
chr17:7480995 | p.W343C,EIF4A1 | 1 |
chr17:7479876 | p.D185D,EIF4A1 | 1 |
chr17:7481145 | p.I387I | 1 |
chr17:7479928 | p.T207T,EIF4A1 | 1 |
chr17:7481183 | p.E388Q | 1 |
chr17:7480414 | p.P217H,EIF4A1 | 1 |
chr17:7481234 | p.R247H,EIF4A1 | 1 |
chr17:7476160 | p.R255L,EIF4A1 | 1 |
chr17:7480480 | p.T269N,EIF4A1 | 1 |
Other DBs for Point Mutations |
Copy Number for EIF4A1 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 EIF4A1 |
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)) |
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CNV vs Gene Expression Plot |
* This plots show the correlation between CNV and gene expression. |
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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 |
AURKB,C1QBP,CTDNEP1,EIF4A1,EIF5A,EIF5AL1,ELAC2, FXR2,MYBBP1A,NUP88,OVCA2,PELP1,PFN1,PSMB6, RNMTL1,RPL26,SCO1,SENP3,SLC25A11,TIMM22,WRAP53 | APEX1,BYSL,CCT3,DDOST,EIF4A1,ERGIC3,ILF2, METTL1,MRTO4,NHP2,NME1,NOP16,NPM3,PES1, POLR1C,PPIA,PRELID1,RAN,RPL7A,RUVBL1,SNRPD1 | ||||
ATPAF2,ELP5,C1QBP,COPS3,EIF4A1,EIF5A,EIF5AL1, ELAC2,GEMIN4,MED11,MPDU1,PFN1,PRPSAP2,PSMB6, RNMTL1,SCO1,SLC25A11,TIMM22,TSR1,WRAP53,YWHAE | HYPK,C19orf10,CCT2,EMC8,EBNA1BP2,EIF3I,EIF4A1, EIF5AL1,H2AFZ,HNRNPF,NME1,NPM3,PDIA6,PPIB, PSMD14,PYCRL,RAN,RANBP1,RPL26L1,SNRPD1,SRPRB |
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 |
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Interacting Genes (from Pathway Commons) |
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Pharmacological Information for EIF4A1 |
Cross-referenced pharmacological DB IDs from Uniprot |
DB Category | DB Name | DB's ID and Url link |
Drug-Gene Interaction Network |
* Gene Centered Interaction Network. |
* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB00877 | eukaryotic translation initiation factor 4A1 | approved; investigational | Sirolimus | ||
DB01033 | eukaryotic translation initiation factor 4A1 | approved | Mercaptopurine | ||
DB00563 | eukaryotic translation initiation factor 4A1 | approved | Methotrexate |
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Cross referenced IDs for EIF4A1 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
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