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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for EIF3J |
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Phenotypic Information for EIF3J(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: EIF3J |
Familial Cancer Database: EIF3J |
* 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: EIF3J |
MedGen: EIF3J (Human Medical Genetics with Condition) | |
ClinVar: EIF3J | |
Phenotype | MGI: EIF3J (International Mouse Phenotyping Consortium) |
PhenomicDB: EIF3J |
Mutations for EIF3J |
* 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 |
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'. |
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- 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 | EIF3J | chr15 | 44836603 | 44836623 | chr15 | 45015714 | 45015734 | |
pancreas | EIF3J | chr15 | 44849601 | 44849621 | chr15 | 45010611 | 45010631 | |
prostate | EIF3J | chr15 | 44834325 | 44836325 | RAB5C | chr17 | 40301170 | 40303170 |
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 EIF3J 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 |
BQ938173 | EIF3J | 173 | 321 | 15 | 44843073 | 44843721 | EIF3J | 320 | 468 | 15 | 44843073 | 44843721 |
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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=15) | (# total SNVs=2) |
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(# total SNVs=12) | (# total SNVs=2) |
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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 |
chr15:44843099-44843099 | p.E61fs*5 | 6 |
chr15:44849797-44849797 | p.L174V | 3 |
chr15:44829394-44829395 | p.A8_G9insAAA | 2 |
chr15:44829395-44829397 | p.A8delA | 2 |
chr15:44843655-44843655 | p.I77fs*1 | 2 |
chr15:44829437-44829437 | p.? | 1 |
chr15:44846861-44846861 | p.T135T | 1 |
chr15:44853322-44853322 | p.V251A | 1 |
chr15:44843088-44843088 | p.D54D | 1 |
chr15:44849713-44849713 | p.D146Y | 1 |
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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 | 2 |   |   | 3 | 1 |   |   |   | 1 |   |   |   |   |   |   |   | 1 |   |   | 5 |
# mutation | 2 |   |   | 4 | 1 |   |   |   | 1 |   |   |   |   |   |   |   | 1 |   |   | 5 |
nonsynonymous SNV | 2 |   |   | 3 | 1 |   |   |   |   |   |   |   |   |   |   |   | 1 |   |   | 4 |
synonymous SNV |   |   |   | 1 |   |   |   |   | 1 |   |   |   |   |   |   |   |   |   |   | 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 |
chr15:44849735 | p.L125L,EIF3J | 1 |
chr15:44849770 | p.C139Y,EIF3J | 1 |
chr15:44849797 | p.L147V,EIF3J | 1 |
chr15:44849840 | p.I150N,EIF3J | 1 |
chr15:44852461 | p.L157F,EIF3J | 1 |
chr15:44829435 | p.G180G,EIF3J | 1 |
chr15:44852471 | p.D15H,EIF3J | 1 |
chr15:44843088 | p.D54D,EIF3J | 1 |
chr15:44852491 | p.A63T,EIF3J | 1 |
chr15:44843113 | p.K70Q,EIF3J | 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 EIF3J |
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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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ABCE1,AQR,DPH6,BUB1B,KNSTRN,RHOV___CHP1,COPS2, CTDSPL2,EIF3J,ELL3,FBXO22,LOC729082,LOC729176,NIPA2, BLOC1S6,SPATA5L1,TMOD3,TUBGCP4,UBE3A,USP8,ZNF770 | FAM210A,FAM220A,CCDC43,COPS3,COPS4,E2F6,EIF3J, FXN,GRSF1,HCCS,HINT3,MMADHC,NAA50,NDUFA5, NDUFAF4,NT5C3A,PRKRA,PSMC6,RAB10,UBE2G1,VTA1 |
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ANP32A,DPH6,BLM,KNSTRN,VWA9,CEBPZ,COPS2, DUT,EIF3J,FBXO22,HAUS2,MRPL30,NIPA2,NOP58, PDCD7,RPL4,RSL24D1,SNRPA1,SPATA5L1,WDR43,ZC3H15 | ABCE1,BCCIP,BRIX1,CCT2,CCT6A,CIRH1A,DDX21, EIF2S1,EIF3J,FASTKD2,GTPBP4,HDAC2,LTV1,NIFK, MRPL19,NAA15,NOL10,NOP58,SEH1L,SRFBP1,WDR77 |
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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 EIF3J |
There's no related Drug. |
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Cross referenced IDs for EIF3J |
* 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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