TissGeneSummary for GAB4 |
Gene summary |
Basic gene information | Gene symbol | GAB4 |
Gene name | GRB2-associated binding protein family, member 4 | |
Synonyms | - | |
Cytomap | UCSC genome browser: 22q11.1 | |
Type of gene | protein-coding | |
RefGenes | NM_001037814.1, | |
Description | GRB2-associated binder 2-like proteinGRB2-associated binder 4GRB2-associated-binding protein 4growth factor receptor bound protein 2-associated protein 4 | |
Modification date | 20141207 | |
dbXrefs | HGNC : HGNC | |
Ensembl : ENSG00000215568 | ||
Vega : OTTHUMG00000149992 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_GAB4 | |
BioGPS: 128954 | ||
Pathway | NCI Pathway Interaction Database: GAB4 | |
KEGG: GAB4 | ||
REACTOME: GAB4 | ||
Pathway Commons: GAB4 | ||
Context | iHOP: GAB4 | |
ligand binding site mutation search in PubMed: GAB4 | ||
UCL Cancer Institute: GAB4 | ||
Assigned class in TissGDB* | C | |
Included tissue-specific gene expression resources | HPA,GTEx | |
Specific-tissues in normal samples (assigned by TissGDB using HPA, TiGER, and GTEx) | Testis | |
Cancer types related to the specific-tissues in cancer samples (assigned by TissGDB using TCGA) | TGCT | |
Reference showing the relevant tissue of GAB4 | ||
Description by TissGene annotations |
* Class A consists of genes with literature evidence and is part of the cTissGenes. Class B consists of only cTissGenes without additional evidence. The remaining genes belong to Class C. |
Gene ontology having evidence of Inferred from Direct Assay (IDA) from Entrez |
GO ID | GO term | PubMed ID |
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TissGeneExp for GAB4 |
Gene expressions across 28 cancer types (X-axis: cancer type and Y-axis: log2(norm_counts+1)) (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) |
Gene isoform expressions across 28 cancer types (X-axis: cancer type and Y-axis: log2(norm_counts+1)) (TCGA pan-cancer tcga_rsem_isoform_tpm, version 2016-09-01) |
Gene expressions across normal tissues of GTEx data (GTEx GTEx_Analysis_v6_RNA-seq_RNA-SeQCv1.1.8_gene_rpkm.gct) - Here, we shows the matched tissue types only among our 28 cancer types. |
Different expressions across 14 cancer types with more than 10 samples between matched tumors and normals (X-axis: cancer type and Y-axis: log2(norm_counts+1)) (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) |
- Significantly differentially expressed cancer types and information. (|Fold change|>1 and FDR<0.05) |
Cancer type | Mean(exp) in tumor | Mean(exp) in matched normal | Log2FC | P-val. | FDR |
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TissGene-miRNA for GAB4 |
Significantly anti-correlated miRNAs of TissGene across 28 cancer types (Gene-miRNA relations from TargetScanHuman Relsease 7.1, Conserved_Site_Context_Scores.txt.zip, 06.01.2016) (TCGA IlluminaHiSeq_miRNASeq, log2(RPM+1) data, version 2016-11-21) (TCGA IlluminaHiSeq_RNASeqV2, log2(normalized_count+1) data, version 2016-08-16) (Spearman’s Rank Correlation (p-value<0.05 and coefficient<-0.25)) |
Cancer type | miRNA id | miRNA accession | P-val. | Coeff. | # samples |
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TissGeneMut for GAB4 |
TissGeneSNV for GAB4 |
nsSNV counts per each loci. Different colors of circles represent different cancer types. Circle size denotes number of samples. (TCGA somatic mutation (SNPs and small INDELs) data, version 2016-04-25) * Click on the image to enlarge it in a new window. |
Somatic nucleotide variants of TissGene across 28 cancer types (X-axis: cancer type and Y-axis: % of mutated samples) The numbers in parentheses are numbers of samples with mutation (nsSNVs). (TCGA somatic mutation (SNPs and small INDELs) data, version 2016-04-25) |
- nsSNVs sorted by frequency. |
AAchange | Cancer type | # samples |
p.M140I | SKCM | 2 |
p.D481N | SKCM | 2 |
p.R68W | LGG | 1 |
p.P196S | SKCM | 1 |
p.V539L | ESCA | 1 |
p.G306S | ESCA | 1 |
p.S447T | SKCM | 1 |
p.S566* | UCEC | 1 |
p.E156D | READ | 1 |
p.L437P | KIRC | 1 |
p.M120V | LIHC | 1 |
p.P528Q | LIHC | 1 |
p.G265S | OV | 1 |
p.R92P | KIRC | 1 |
p.P494L | SKCM | 1 |
p.G44D | STAD | 1 |
p.R137T | BLCA | 1 |
p.Q184* | BLCA | 1 |
p.S466I | LUAD | 1 |
p.G397C | LUAD | 1 |
p.H406Y | COAD | 1 |
p.R570M | LUAD | 1 |
p.S166Y | LUAD | 1 |
p.D408Y | STAD | 1 |
p.G27R | ESCA | 1 |
p.A572T | KICH | 1 |
p.T93N | ACC | 1 |
p.G365A | LUAD | 1 |
p.E547A | SKCM | 1 |
p.G285D | UCEC | 1 |
p.A59P | STAD | 1 |
p.L186I | LUSC | 1 |
p.W60C | UCEC | 1 |
p.W60X | STAD | 1 |
p.R36I | LGG | 1 |
p.G33E | SKCM | 1 |
p.P51L | SKCM | 1 |
p.R422H | STAD | 1 |
p.D408Y | UCEC | 1 |
p.G118S | LUAD | 1 |
p.W60* | STAD | 1 |
p.Q475H | UCEC | 1 |
p.P510L | STAD | 1 |
p.D351Y | LGG | 1 |
p.E142* | BLCA | 1 |
p.P370S | THYM | 1 |
p.P471S | SKCM | 1 |
p.P276T | LUAD | 1 |
p.S512N | UCEC | 1 |
p.L521M | LUAD | 1 |
p.S182F | SKCM | 1 |
p.R63C | SARC | 1 |
p.W456L | LUAD | 1 |
p.E52K | SKCM | 1 |
p.P367S | SKCM | 1 |
p.E52D | BLCA | 1 |
p.R441K | SKCM | 1 |
p.S468T | OV | 1 |
p.T247A | STAD | 1 |
p.T345M | SARC | 1 |
p.Q254H | BRCA | 1 |
p.P8S | HNSC | 1 |
p.S199F | CESC | 1 |
p.L67M | STAD | 1 |
p.R63H | STAD | 1 |
p.P196L | SKCM | 1 |
p.G152V | LUAD | 1 |
p.L390F | BLCA | 1 |
p.S174C | CESC | 1 |
p.R301T | BRCA | 1 |
p.E445K | SKCM | 1 |
p.A375E | LUSC | 1 |
p.H461N | CESC | 1 |
p.P492S | SKCM | 1 |
p.Y489H | LUAD | 1 |
p.D139G | KIRP | 1 |
p.D261H | UCEC | 1 |
p.P370S | UCEC | 1 |
p.L390I | LUAD | 1 |
p.R441S | SKCM | 1 |
p.F110V | STAD | 1 |
p.T319N | LUAD | 1 |
p.R92H | THCA | 1 |
p.R92P | LUAD | 1 |
p.S398C | BLCA | 1 |
p.S24L | KIRP | 1 |
p.E454D | LUSC | 1 |
p.L437M | LUAD | 1 |
p.P203S | COAD | 1 |
p.P509R | KIRP | 1 |
p.S379P | SKCM | 1 |
p.T300N | LIHC | 1 |
p.P494S | SKCM | 1 |
p.R92H | PAAD | 1 |
p.L490I | LUAD | 1 |
p.N95S | STAD | 1 |
p.Q550R | LUSC | 1 |
p.S24L | SKCM | 1 |
p.M249I | UCEC | 1 |
p.K317M | COAD | 1 |
p.Q559R | SARC | 1 |
p.G213W | LUAD | 1 |
p.E547K | SKCM | 1 |
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TissGeneCNV for GAB4 |
Copy number variations of TissGene across 28 cancer types (X-axis: cancer type and Y-axis: % of CNV samples) (TCGA Gistic2_CopyNumber_Gistic2_all_data_by_genes, Gistic2 copy number data, version 2016-08-16) |
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TissGeneFusions for GAB4 |
Fusion genes including TissGene (ChimerDB 3.0, 2016-12-01 and TCGA fusion Portal 2015-12-01) |
Database | Src | Cancer type | Sample | Fusion gene | ORF | 5'-gene BP | 3'-gene BP |
Chimerdb3.0 | TopHat-Fusion | PRAD | TCGA-HI-7168-01A | BCL2L13-GAB4 | In-Frame | chr22:18138597 | chr22:17446157 |
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TissGeneNet for GAB4 |
Co-expressed gene networks based on protein-protein interaction data (CePIN) (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) (PINA2 ppi data) |
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TissGeneProg for GAB4 |
Kaplan-Meier plots with logrank tests of overall survival (OS) using 28 cancer types (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) (TCGA clinicalMatrix, phenotype data, version 2016-04-27) * Click on the image to enlarge it in a new window. |
Kaplan-Meier plots with logrank test of relapse free survival (RFS) using 28 cancer types (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) (TCGA clinicalMatrix, phenotype data, version 2016-04-27) * Click on the image enlarge it in a new window. |
Forest plot of Cox proportional hazard ratio (HR) and 95% CI of overall survival (OS) using 28 cancer types (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) (TCGA clinicalMatrix, phenotype data, version 2016-04-27) * Click on the image enlarge it in a new window. |
Forest plot of Cox proportional hazard ratio (HR) and 95% CI of relapse free survival (RFS) using 28 cancer types (TCGA IlluminaHiSeq_RNASeqV2, pan-cancer normalized log2(norm_counts+1) data, version 2016-08-16) (TCGA clinicalMatrix, phenotype data, version 2016-04-27) * Click on the image enlarge it in a new window. |
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TissGeneClin for GAB4 |
TissGeneDrug for GAB4 |
Drug information targeting TissGene (DrugBank Version 5.0.6, 2017-04-01) |
DrugBank ID | Drug name | Drug activity | Drug type | Drug status |
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TissGeneDisease for GAB4 |
Disease information associated with TissGene (DisGeNet, 2016-06-01) |
Disease ID | Disease name | # pubmeds | Source |