Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

Home

Search

Download

 Statistics

Help

About Us

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 PRKAG2
Basic gene info.Gene symbolPRKAG2
Gene nameprotein kinase, AMP-activated, gamma 2 non-catalytic subunit
SynonymsAAKG|AAKG2|CMH6|H91620p|WPWS
CytomapUCSC genome browser: 7q36.1
Genomic locationchr7 :151253200-151511957
Type of geneprotein-coding
RefGenesNM_001040633.1,
NM_016203.3,NM_024429.1,
Ensembl idENSG00000106617
Description5'-AMP-activated protein kinase subunit gamma-2AMPK subunit gamma-2hypothetical protein
Modification date20141207
dbXrefs MIM : 602743
HGNC : HGNC
Ensembl : ENSG00000106617
HPRD : 04119
Vega : OTTHUMG00000157324
ProteinUniProt: Q9UGJ0
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_PRKAG2
BioGPS: 51422
Gene Expression Atlas: ENSG00000106617
The Human Protein Atlas: ENSG00000106617
PathwayNCI Pathway Interaction Database: PRKAG2
KEGG: PRKAG2
REACTOME: PRKAG2
ConsensusPathDB
Pathway Commons: PRKAG2
MetabolismMetaCyc: PRKAG2
HUMANCyc: PRKAG2
RegulationEnsembl's Regulation: ENSG00000106617
miRBase: chr7 :151,253,200-151,511,957
TargetScan: NM_001040633
cisRED: ENSG00000106617
ContextiHOP: PRKAG2
cancer metabolism search in PubMed: PRKAG2
UCL Cancer Institute: PRKAG2
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of PRKAG2 in cancer cell metabolism1. Kim M, Hunter RW, Garcia-Menendez L, Gong G, Yang Y-Y, et al. (2014) Mutation in the γ2-subunit of AMP-activated protein kinase stimulates cardiomyocyte proliferation and hypertrophy independent of glycogen storage. Circulation research 114: 966-975. go to article

Top
Phenotypic Information for PRKAG2(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: PRKAG2
Familial Cancer Database: PRKAG2
* 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
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM 194200; phenotype.
261740; phenotype.
600858; phenotype.
602743; gene.
Orphanet 155; Familial isolated hypertrophic cardiomyopathy.
907; Wolff-Parkinson-White syndrome.
DiseaseKEGG Disease: PRKAG2
MedGen: PRKAG2 (Human Medical Genetics with Condition)
ClinVar: PRKAG2
PhenotypeMGI: PRKAG2 (International Mouse Phenotyping Consortium)
PhenomicDB: PRKAG2

Mutations for PRKAG2
* 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
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'.
- 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
breastPRKAG2chr7151378592151378592PRKAG2chr7151388130151388130
ovaryPRKAG2chr7151260767151260787chr192375516423755184
ovaryPRKAG2chr7151299470151299670MLL3chr7151979326151979526
ovaryPRKAG2chr7151368225151368245PRKAG2chr7151361612151361632
pancreasPRKAG2chr7151368215151368235PRKAG2chr7151368268151368288
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 PRKAG2 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
DB487487ZNF7862727148787715148787785PRKAG2724467151292454151372724
DB486204ZNF7862727148787715148787785PRKAG2724207151292481151372724
AI766782ACOX130190177393895973939119PRKAG21843277151352004151352146
AK130536SLC2A13275124041684140416914PRKAG27533437151562747151566014
BP373596PRKAG214807151257461151261400PRKAG24745817151269523151269630
BG007354PPP3CC1328382238433822384612PRKAG22723737151253966151254066
BF912904PRKAG2242157151454298151454489SMU121336493305760633060507
BE763984PRKAG213417151257210151257549MALAT1338466116526674065266868

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

Top
check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample 2 21 2 2    21  
GAIN (# sample) 2 2  1 2    2   
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)

Top
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=4

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=49)
Stat. for Synonymous SNVs
(# total SNVs=14)
Stat. for Deletions
(# total SNVs=2)
Stat. for Insertions
(# total SNVs=2)

Top
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
chr7:151257690-151257690p.V533G4
chr7:151269791-151269791p.Q337R4
chr7:151265922-151265922p.F371F3
chr7:151262838-151262838p.R456Q3
chr7:151372617-151372617p.I191I2
chr7:151573690-151573690p.M6V2
chr7:151329209-151329209p.A234P2
chr7:151261177-151261177p.I524K2
chr7:151372719-151372719p.S157S2
chr7:151269770-151269770p.H344R2

Top
check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=3

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample 2271 4 41 631  116 7
# mutation 2281 4 41 631  116 6
nonsynonymous SNV 1251 2 41 531  84 3
synonymous SNV 1 3  2    1    32 3
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])

Top
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
chr7:151262838p.R215Q,PRKAG23
chr7:151372617p.I147I,PRKAG22
chr7:151254294p.T252T,PRKAG21
chr7:151372661p.E16Q,PRKAG21
chr7:151262965p.G102S,PRKAG21
chr7:151478391p.V222G,PRKAG21
chr7:151292526p.S15S,PRKAG21
chr7:151254305p.E89Q,PRKAG21
chr7:151372707p.P220P,PRKAG21
chr7:151265822p.L187R,PRKAG21

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 PRKAG2 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]

Top
Gene Expression for PRKAG2

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

: Open all plots for all cancer types


Top
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

ABCF2,ACTR3B,AGK,ARMC10,CASP2,CNOT4,CUL1,
DNAJB6,ESYT2,GALNT11,LOC284578,LUC7L2,NUB1,PMPCB,
PRKAG2,RAB12,RHEB,RINT1,UBE3C,ZNF398,ZNF862
AASS,BCKDHB,CALCRL,RHOV___CHP1,CRLS1,CYP1A2,DNAH9,
GYS2,MAP3K5,MKX,MOGAT1,NAALAD2,PLCXD1,PRKAG2,
RNF125,SCML1,ST3GAL6,STK39,STOX1,TGDS,TWIST1

ARPC1A,ASL,BCL7B,TMEM248,CAPZA2,COG5,COL17A1,
FIS1,LUZP6,NAPEPLD,ORC5,PNPLA8,PRKAG2,RABGEF1,
RHEB,RINT1,SBDS,ST7,SYPL1,TMEM120A,ZNF394
AGR3,ARL5A,AZIN1,CDKN2AIP,CISD1,CRHR1,CYB5A,
DPH3,FAM35DP,HACL1,IFT20,LOC202781,MBIP,PAQR3,
PIGH,PRKAG2,RARS2,RWDD2A,STARD3NL,TBC1D15,TMEM14A
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

Top
check002.gifInteracting Genes (from Pathway Commons)

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

Top
Pharmacological Information for PRKAG2
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link
ChemistryChEMBL CHEMBL2096907; -.
Organism-specific databasesPharmGKB PA33752; -.
Organism-specific databasesCTD 51422; -.

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB00131protein kinase, AMP-activated, gamma 2 non-catalytic subunitapproved; nutraceuticalAdenosine monophosphate
DB00171protein kinase, AMP-activated, gamma 2 non-catalytic subunitapproved; nutraceuticalAdenosine triphosphate
DB00412protein kinase, AMP-activated, gamma 2 non-catalytic subunitapproved; investigationalRosiglitazone
DB01132protein kinase, AMP-activated, gamma 2 non-catalytic subunitapproved; investigationalPioglitazone
DB00331protein kinase, AMP-activated, gamma 2 non-catalytic subunitapprovedMetformin


Top
Cross referenced IDs for PRKAG2
* 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



Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @
Site Policies | State of Texas