Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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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 POLR2G
Basic gene info.Gene symbolPOLR2G
Gene namepolymerase (RNA) II (DNA directed) polypeptide G
SynonymsRPB19|RPB7|hRPB19|hsRPB7
CytomapUCSC genome browser: 11q13.1
Genomic locationchr11 :62529010-62534187
Type of geneprotein-coding
RefGenesNM_002696.2,
Ensembl idENSG00000168002
DescriptionDNA directed RNA polymerase II 19 kda polypeptideDNA-directed RNA polymerase II 19 kDa polypeptideDNA-directed RNA polymerase II subunit GDNA-directed RNA polymerase II subunit RPB7RNA polymerase II 19 kDa subunitRNA polymerase II seventh subunitRNA
Modification date20141207
dbXrefs MIM : 602013
HGNC : HGNC
Ensembl : ENSG00000168002
HPRD : 15995
Vega : OTTHUMG00000167609
ProteinUniProt: P62487
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_POLR2G
BioGPS: 5436
Gene Expression Atlas: ENSG00000168002
The Human Protein Atlas: ENSG00000168002
PathwayNCI Pathway Interaction Database: POLR2G
KEGG: POLR2G
REACTOME: POLR2G
ConsensusPathDB
Pathway Commons: POLR2G
MetabolismMetaCyc: POLR2G
HUMANCyc: POLR2G
RegulationEnsembl's Regulation: ENSG00000168002
miRBase: chr11 :62,529,010-62,534,187
TargetScan: NM_002696
cisRED: ENSG00000168002
ContextiHOP: POLR2G
cancer metabolism search in PubMed: POLR2G
UCL Cancer Institute: POLR2G
Assigned class in ccmGDBB - This gene belongs to cancer gene.

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Phenotypic Information for POLR2G(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: POLR2G
Familial Cancer Database: POLR2G
* 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
KEGG_PURINE_METABOLISM
KEGG_PYRIMIDINE_METABOLISM

check002.gifOthers
OMIM 602013; gene.
Orphanet
DiseaseKEGG Disease: POLR2G
MedGen: POLR2G (Human Medical Genetics with Condition)
ClinVar: POLR2G
PhenotypeMGI: POLR2G (International Mouse Phenotyping Consortium)
PhenomicDB: POLR2G

Mutations for POLR2G
* 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
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows POLR2G related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
CB048938SMAP1325867142851971428545POLR2G54454116253283362534182

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
There's no copy number variation information in COSMIC data for this gene.

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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=9)
Stat. for Synonymous SNVs
(# total SNVs=2)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.There's no inserted snv.

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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
chr11:62530364-62530364p.T50P1
chr11:62530370-62530370p.D52N1
chr11:62532667-62532667p.T99I1
chr11:62532690-62532690p.F107I1
chr11:62532822-62532822p.S115L1
chr11:62533155-62533155p.R144C1
chr11:62533156-62533156p.R144H1
chr11:62533177-62533177p.R151P1
chr11:62529276-62529276p.E8*1
chr11:62533187-62533187p.K154K1

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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    1    2    11  
# mutation 1    1    3    11  
nonsynonymous SNV      1    2     1  
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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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
chr11:62532822p.S115L2
chr11:62532699p.S112S1
chr11:62532814p.R144H1
chr11:62533156p.K154K1
chr11:62533187p.D52N1
chr11:62530370p.G55C1
chr11:62530379p.R110R1

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 POLR2G 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 POLR2G

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

B3GAT3,BANF1,BSCL2,TMEM258,LBHD1___C11orf98,UQCC3,CFL1,
COX8A,FIBP,OTUB1,POLR2G,PPP1R14B,SDHAF2,SSSCA1,
STX5,TIMM10,TMEM179B,TMEM223,TRMT112,TTC9C,WDR74
APOA1BP,BUD31,C17orf49,CLTA,JTB,KDELR1,LSM2,
MRPL17,MRPS21,NSMCE1,PFDN5,PHF5A,POLR2G,PPIA,
SEC61B,SNRPF,TMEM179B,TMEM223,UBE2I,UFC1,YIPF3

ARL2,ATP5L,BANF1,TMEM258,C11orf31,LAMTOR1,C11orf73,
COA4,EMG1,FAU,MRPL11,MRPL48,MRPL49,MRPS23,
POLR2G,PPP1CA,SDHAF2,TIMM8B,TMEM126A,TMEM223,TRMT112
ADSL,ELP6,TMEM261,COPS3,DAP3,GEMIN6,HAUS1,
HAX1,LSM2,MRPL51,NAA20,NDUFA4,NHP2,POLE3,
POLR2G,PSMD10,SIVA1,SNRPC,SNRPD2,TOMM6,ZNF511
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 POLR2G


There's no related Drug.
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Cross referenced IDs for POLR2G
* 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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