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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for EIF5B |
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Phenotypic Information for EIF5B(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: EIF5B |
Familial Cancer Database: EIF5B |
* 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/ |
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REACTOME_METABOLISM_OF_PROTEINS |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: EIF5B |
MedGen: EIF5B (Human Medical Genetics with Condition) | |
ClinVar: EIF5B | |
Phenotype | MGI: EIF5B (International Mouse Phenotyping Consortium) |
PhenomicDB: EIF5B |
Mutations for EIF5B |
* 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. |
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- Statistics for Tissue and Mutation type | Top |
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- 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'. |
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Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
ovary | EIF5B | chr2 | 100010407 | 100010427 | REV1 | chr2 | 100087420 | 100087440 |
ovary | EIF5B | chr2 | 99973957 | 99973977 | chr2 | 99926623 | 99926643 | |
pancreas | EIF5B | chr2 | 99968218 | 99968238 | EIF5B | chr2 | 99968711 | 99968731 |
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) |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows EIF5B 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 |
AI065143 | ATP6V0E1 | 63 | 525 | 5 | 172461433 | 172461895 | EIF5B | 514 | 537 | 2 | 100003799 | 100003846 | |
BM727161 | OLFML2A | 1 | 247 | 9 | 127574101 | 127574347 | EIF5B | 243 | 465 | 2 | 99984997 | 99988193 | |
AW839731 | EIF5B | 56 | 222 | 2 | 99980154 | 99980326 | EIF5B | 208 | 285 | 2 | 99988116 | 99988193 | |
CB243572 | EIF5B | 14 | 357 | 2 | 99984951 | 99992883 | CCDC113 | 356 | 665 | 16 | 58317310 | 58317619 | |
AI739405 | EIF5B | 105 | 282 | 2 | 99992922 | 99993099 | GCN1L1 | 276 | 400 | 12 | 120565542 | 120565666 | |
BE671617 | EIF5B | 27 | 317 | 2 | 99980857 | 99988192 | TXNDC9 | 303 | 543 | 2 | 99954023 | 99977012 | |
AA687907 | EIF5B | 1 | 361 | 2 | 100006182 | 100016237 | EIF5B | 355 | 438 | 2 | 99999332 | 100006211 | |
DA619466 | AFF3 | 2 | 384 | 2 | 100720864 | 100759048 | EIF5B | 384 | 595 | 2 | 99976698 | 99977012 | |
AI699584 | EIF5B | 1 | 53 | 2 | 99976741 | 99976793 | EIF5B | 48 | 189 | 2 | 99976932 | 99977671 | |
AW081923 | EIF5B | 1 | 246 | 2 | 99980114 | 99980770 | EIF5B | 227 | 569 | 2 | 99980202 | 99985023 |
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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=75) | (# total SNVs=20) |
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(# total SNVs=8) | (# total SNVs=1) |
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* 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 |
chr2:99976805-99976805 | p.K50fs*10 | 5 |
chr2:100010862-100010862 | p.? | 3 |
chr2:99977965-99977965 | p.N203fs*10 | 3 |
chr2:100011204-100011204 | p.D1038N | 3 |
chr2:99976980-99976980 | p.I72V | 3 |
chr2:100007118-100007118 | p.Q900K | 3 |
chr2:100015222-100015222 | p.I1135I | 2 |
chr2:100007120-100007120 | p.Q900H | 2 |
chr2:99999328-99999328 | p.E739K | 2 |
chr2:100007161-100007161 | p.R914Q | 2 |
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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 | 5 | 4 | 1 | 14 |   |   | 3 |   | 1 | 3 |   | 10 | 1 | 1 |   | 1 | 2 | 9 |   | 10 |
# mutation | 8 | 4 | 1 | 13 |   |   | 3 |   | 1 | 3 |   | 15 | 1 | 1 |   | 1 | 2 | 10 |   | 14 |
nonsynonymous SNV | 6 | 3 | 1 | 9 |   |   | 3 |   |   | 1 |   | 12 | 1 | 1 |   | 1 | 1 | 6 |   | 13 |
synonymous SNV | 2 | 1 |   | 5 |   |   |   |   | 1 | 2 |   | 3 |   |   |   |   | 1 | 4 |   | 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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* 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 |
chr2:100007118 | p.Q900K | 2 |
chr2:100011204 | p.V281V | 2 |
chr2:99978207 | p.Q900H | 2 |
chr2:100007120 | p.R815S | 2 |
chr2:100006721 | p.D1038N | 2 |
chr2:100013282 | p.V1039V | 1 |
chr2:99988138 | p.S135Y | 1 |
chr2:99977707 | p.K442K | 1 |
chr2:99998633 | p.D721H | 1 |
chr2:100006829 | p.L877F | 1 |
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* 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. |
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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 EIF5B |
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* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
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* 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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* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
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* 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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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 |
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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 |
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* 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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Pharmacological Information for EIF5B |
There's no related Drug. |
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Cross referenced IDs for EIF5B |
* 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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