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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for NEU4 |
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Phenotypic Information for NEU4(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: NEU4 |
Familial Cancer Database: NEU4 |
* 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/ |
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KEGG_SPHINGOLIPID_METABOLISM REACTOME_GLYCOSPHINGOLIPID_METABOLISM REACTOME_PHOSPHOLIPID_METABOLISM REACTOME_SPHINGOLIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: NEU4 |
MedGen: NEU4 (Human Medical Genetics with Condition) | |
ClinVar: NEU4 | |
Phenotype | MGI: NEU4 (International Mouse Phenotyping Consortium) |
PhenomicDB: NEU4 |
Mutations for NEU4 |
* 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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There's no structural variation information in COSMIC data for this gene. |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows NEU4 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 |
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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=38) | (# total SNVs=17) |
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(# total SNVs=0) | (# 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 |
chr2:242758326-242758326 | p.K482K | 5 |
chr2:242757411-242757411 | p.G177G | 4 |
chr2:242757597-242757597 | p.A239A | 3 |
chr2:242756132-242756132 | p.H95P | 3 |
chr2:242757483-242757483 | p.G201G | 2 |
chr2:242758271-242758271 | p.S464F | 2 |
chr2:242758075-242758075 | p.R399C | 2 |
chr2:242757513-242757513 | p.F211F | 2 |
chr2:242758284-242758284 | p.F468L | 2 |
chr2:242755868-242755868 | p.G76R | 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 | 1 | 2 |   | 2 | 2 |   |   |   |   |   |   | 10 | 3 |   |   |   | 10 | 3 |   | 1 |
# mutation | 1 | 2 |   | 2 | 2 |   |   |   |   |   |   | 10 | 3 |   |   |   | 11 | 3 |   | 1 |
nonsynonymous SNV | 1 | 1 |   | 1 | 2 |   |   |   |   |   |   | 8 | 2 |   |   |   | 8 | 2 |   | 1 |
synonymous SNV |   | 1 |   | 1 |   |   |   |   |   |   |   | 2 | 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]) |
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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 |
chr2:242757513 | p.F211F,NEU4 | 2 |
chr2:242756197 | p.T206T,NEU4 | 1 |
chr2:242757738 | p.F468L,NEU4 | 1 |
chr2:242755707 | p.R22Q,NEU4 | 1 |
chr2:242758315 | p.A479T,NEU4 | 1 |
chr2:242756224 | p.L25F,NEU4 | 1 |
chr2:242757793 | p.A239T,NEU4 | 1 |
chr2:242755715 | p.P484H,NEU4 | 1 |
chr2:242758331 | p.F26F,NEU4 | 1 |
chr2:242756232 | p.A239V,NEU4 | 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 NEU4 |
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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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AMH,TEX35,CARD14,CSAD,D2HGDH,GAL3ST2,HOXB13, IGLL3P,LOC100133161,LOC400931,LRP5L,NEU4,PLEKHH2,PNKD, PROZ,PSCA,REG4,RPS4Y2,SLC25A16,SLC4A4,ZNF296 | ARAF,DEXI,DMPK,DNASE1L1,LGI1,MID1IP1,MN1, MT3,NDUFB2,NDUFS7,NEU4,PDLIM2,PGP,PHOSPHO1, PINK1,PLEKHM2,SEPW1,TRIP10,TYRP1,UBAC1,ZBTB47 |
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ALKBH7,B3GNT6,C16orf58,ADGB,PPP1R35,CASR,DFNB31, FAM3D,HDHD3,HSF4,ILVBL,LPA,NEU4,OR51T1, OR52R1,RASD1,SCARNA14,SPACA3,SYCE1L,TMEM175,YIPF2 | ACVR1B,ARHGEF10L,CAPN9,CMTM4,CTDP1,EPN3,FAM171A1, GPRIN2,GTF3C2,GUSB,LIMK2,MBP,MCTP2,NEO1, NEU4,NEURL1,PNPLA7,SEMA4G,TNFRSF11A,ZBTB42,ZNF837 |
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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 NEU4 |
There's no related Drug. |
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Cross referenced IDs for NEU4 |
* 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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