Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

Gene Summary

Phenotypic Information (metabolism pathway, cancer, disease, phenome)

Mutations: SVs, CNVs, SNVs

Gene expression: GE, Protein, DEGE, CNV vs GE

Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG

Pharmacological Information: Drug-Gene Network

Cross referenced IDs

Gene Summary for GNG12
Basic gene info.Gene symbolGNG12
Gene nameguanine nucleotide binding protein (G protein), gamma 12
Synonyms-
CytomapUCSC genome browser: 1p31.3
Genomic locationchr1 :68167148-68299155
Type of geneprotein-coding
RefGenesNM_018841.5,
Ensembl idENSG00000172380
DescriptionG-protein gamma-12 subunitguanine nucleotide-binding protein G(I)/G(S)/G(O) subunit gamma-12
Modification date20141207
dbXrefs MIM : 615405
HGNC : HGNC
Ensembl : ENSG00000172380
HPRD : 13592
Vega : OTTHUMG00000009545
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_GNG12
BioGPS: 55970
Gene Expression Atlas: ENSG00000172380
The Human Protein Atlas: ENSG00000172380
PathwayNCI Pathway Interaction Database: GNG12
KEGG: GNG12
REACTOME: GNG12
ConsensusPathDB
Pathway Commons: GNG12
MetabolismMetaCyc: GNG12
HUMANCyc: GNG12
RegulationEnsembl's Regulation: ENSG00000172380
miRBase: chr1 :68,167,148-68,299,155
TargetScan: NM_018841
cisRED: ENSG00000172380
ContextiHOP: GNG12
cancer metabolism search in PubMed: GNG12
UCL Cancer Institute: GNG12
Assigned class in ccmGDBC

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Phenotypic Information for GNG12(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: GNG12
Familial Cancer Database: GNG12
* This gene is included in those cancer gene databases.

.

Oncogene 1

Tumor Suppressor gene 2

Cancer Gene Census 3

CancerGenes 4

Network of Cancer Gene 5

Significant driver gene in

Therapeutic Vulnerabilities in Cancer1

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/

check002.gifMetabolic Pathway Description
REACTOME_INTEGRATION_OF_ENERGY_METABOLISM

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: GNG12
MedGen: GNG12 (Human Medical Genetics with Condition)
ClinVar: GNG12
PhenotypeMGI: GNG12 (International Mouse Phenotyping Consortium)
PhenomicDB: GNG12

Mutations for GNG12
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram

- Statistics for Tissue and Mutation typeTop
- 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'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
pancreasGNG12chr16820251568202535GNG12chr16820525468205274
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)

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows GNG12 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AW851172GNG12123016819243268192661GNG1222648116819201368192268

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

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check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample          1      
GAIN (# sample)          1      
LOSS (# sample)                 
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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check002.gifSNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation

 : Non-synonymous mutation, : Synonymous mutation, Circle size denotes number of samples.
Maximum mutation count=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=6)
Stat. for Synonymous SNVs
(# total SNVs=0)
There's no s-snv.
Stat. for Deletions
(# total SNVs=6)
Stat. for Insertions
(# total SNVs=1)

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check002.gifTop 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 positionMutation(aa)Unique sampleID count
chr1:68171151-68171151p.T68fs*>56
chr1:68173335-68173335p.A12V1
chr1:68173341-68173341p.N10S1
chr1:68173365-68173365p.S2F1
chr1:68171150-68171150p.T68S1
chr1:68173367-68173367p.M1I1
chr1:68171150-68171151p.T68fs*>61
chr1:68171216-68171216p.H46R1
chr1:68171223-68171223p.E44*1
chr1:68171242-68171242p.A37A1

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check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=2

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample        1  2     2 1
# mutation        1  2     3 1
nonsynonymous SNV        1  2     1 1
synonymous SNV                 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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check002.gifTop 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 PositionMutation(aa)Unique sampleID count
chr1:68171216p.M1I1
chr1:68171242p.H46R1
chr1:68171254p.A37A1
chr1:68171255p.S33S1
chr1:68173341p.S33L1
chr1:68173365p.N10S1
chr1:68173367p.S2F1

check002.gifOther DBs for Point Mutations
Point Mutation Table of Ensembl: go to Ensembl variation table
Mutation of cBioPortal: go to cBioPortal's Cross-cancer alteration summary

check002.gifCopy Number for GNG12 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 GNG12

check002.gifGene 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.

check002.gifDifferential 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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check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


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Gene-Gene Network Information
check002.gifCo-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

: Open all plots for all cancer types

ANO6,ARHGEF12,DIXDC1,DYNC2H1,FNDC3A,GNG12,INADL,
ITGAV,JAK1,EFCAB14,LCA5,LEPROT,MIER1,NTN4,
PLSCR4,RNF11,SLC35D1,SPATA6,TCF12,YAP1,ZBTB38
AGFG1,CCPG1,CLIC4,CREBL2,DIXDC1,EVI5,EXOC5,
GNG12,LEPROT,LPGAT1,LUZP6,MTMR2,PICALM,RABL3,
SEC62,SEPT2,SERINC1,SERINC3,TLR3,TMEM167A,VAMP7

ABCD3,FPGT,GNG12,LEPROT,MIER1,NRAS,PDCD6IP,
PLS1,RAP1A,RNF11,SCP2,SH3GLB1,SLC25A24,SLC35A3,
SNX7,SPPL2A,STX12,TBC1D23,TMED5,TMEM59,USP33
ABCD3,LINC00483,CLRN3,DOLPP1,GNG12,GRAMD3,HTATIP2,
KALRN,LRRC19,MARVELD3,MGAT4A,MPP5,SLC51B,PRR13,
SFXN1,SLC35D2,SMAP1,SPPL2A,TDP2,TMEM45B,TUBAL3
check002.gifCo-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

: Open all plots for all cancer types

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check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

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Pharmacological Information for GNG12


There's no related Drug.
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Cross referenced IDs for GNG12
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section

: Open all cross reference information



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