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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for GNA14 |
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Phenotypic Information for GNA14(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: GNA14 |
Familial Cancer Database: GNA14 |
* 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_INTEGRATION_OF_ENERGY_METABOLISM |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: GNA14 |
MedGen: GNA14 (Human Medical Genetics with Condition) | |
ClinVar: GNA14 | |
Phenotype | MGI: GNA14 (International Mouse Phenotyping Consortium) |
PhenomicDB: GNA14 |
Mutations for GNA14 |
* 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 |
- Statistics for Tissue and Mutation type | Top |
- 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'. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
breast | GNA14 | chr9 | 80135576 | 80135576 | chr9 | 102364203 | 102364203 | |
ovary | GNA14 | chr9 | 80054279 | 80054299 | GNA14 | chr9 | 80055921 | 80055941 |
pancreas | GNA14 | chr9 | 80147265 | 80147285 | MIR548H3 | chr9 | 78320935 | 78320955 |
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) |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows GNA14 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 |
AV645432 | SDS | 1 | 308 | 12 | 113830583 | 113830890 | GNA14 | 309 | 362 | 9 | 80136639 | 80136692 |
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 | 1 |   | 2 |   |   |   |   | 1 |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   | 1 |   | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) | 1 |   |   | 1 |   |   |   |   | 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=37) | (# total SNVs=7) |
(# total SNVs=0) | (# total SNVs=0) |
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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 |
chr9:80046341-80046341 | p.I163I | 3 |
chr9:80043929-80043929 | p.R206Q | 3 |
chr9:80039059-80039059 | p.R302* | 3 |
chr9:80038963-80038963 | p.R334C | 2 |
chr9:80038966-80038966 | p.I333V | 2 |
chr9:80049290-80049290 | p.A153V | 2 |
chr9:80046280-80046280 | p.G184S | 2 |
chr9:80039058-80039058 | p.R302K | 2 |
chr9:80144029-80144029 | p.A89S | 2 |
chr9:80144078-80144078 | p.T72T | 2 |
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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 | 2 | 3 |   | 15 |   |   |   |   | 1 |   |   | 3 | 3 | 1 |   |   | 7 | 5 |   | 7 |
# mutation | 3 | 3 |   | 12 |   |   |   |   | 1 |   |   | 3 | 3 | 1 |   |   | 6 | 5 |   | 8 |
nonsynonymous SNV | 2 | 1 |   | 10 |   |   |   |   | 1 |   |   | 2 | 3 | 1 |   |   | 4 | 3 |   | 8 |
synonymous SNV | 1 | 2 |   | 2 |   |   |   |   |   |   |   | 1 |   |   |   |   | 2 | 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 |
chr9:80049380 | p.R177C | 2 |
chr9:80043929 | p.R302K | 2 |
chr9:80046280 | p.R302G | 2 |
chr9:80039058 | p.E123G | 2 |
chr9:80039059 | p.A89T | 2 |
chr9:80046301 | p.R206Q | 2 |
chr9:80144029 | p.G184S | 2 |
chr9:80144078 | p.T72T | 2 |
chr9:80043923 | p.R68T | 1 |
chr9:80038943 | p.E66K | 1 |
Other DBs for Point Mutations |
Copy Number for GNA14 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 GNA14 |
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 |
ATG16L1,KIAA0825,C9orf152,C9orf91,CORO2A,ELF1,EPB41L4A, FOXP1,GNA14,GOLGA2,KIAA1324,KIAA1377,RNF103,SEC16A, SLC19A2,TMEM87B,TOX3,TRAK2,YPEL2,ZNF100,ZNF484 | ABCD2,ALG9,ANO3,BCAP29,TMEM230,CAV2,CLVS1, FGF13,FZD4,GLDN,GNA14,GYPE,HNMT,PPP2R1B, PPP2R5A,RFTN1,RTN3,SAR1A,SGK2,SPATA9,TMEM135 |
APBA1,BCAS1,BMP2,SMIM14,CAMK2D,CAPN9,CCNJL, CREB3L1,FAM174B,FCGBP,FHL2,GNA14,GNAQ,GNE, KCNA6,KLF4,LOC100129034,LRRIQ4,MLPH,NPDC1,SEC16A | AGR2,ARF4,ASRGL1,TMEM263,DCPS,DNAJC10,DNAJC12, ERP27,GNA14,IFI16,IL19,ITLN1,KDELR3,NUCB2, PLA2G2A,PRSS22,S100P,SLC16A14,SLC6A14,SPINK5,TMEM173 |
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 GNA14 |
There's no related Drug. |
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Cross referenced IDs for GNA14 |
* 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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