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 MGLL
Basic gene info.Gene symbolMGLL
Gene namemonoglyceride lipase
SynonymsHU-K5|HUK5|MAGL|MGL
CytomapUCSC genome browser: 3q21.3
Genomic locationchr3 :127407904-127542093
Type of geneprotein-coding
RefGenesNM_001003794.2,
NM_001256585.1,NM_007283.6,
Ensembl idENSG00000074416
Descriptionlysophospholipase homologmonoacylglycerol lipase
Modification date20141207
dbXrefs MIM : 609699
HGNC : HGNC
Ensembl : ENSG00000074416
HPRD : 17574
Vega : OTTHUMG00000159641
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_MGLL
BioGPS: 11343
Gene Expression Atlas: ENSG00000074416
The Human Protein Atlas: ENSG00000074416
PathwayNCI Pathway Interaction Database: MGLL
KEGG: MGLL
REACTOME: MGLL
ConsensusPathDB
Pathway Commons: MGLL
MetabolismMetaCyc: MGLL
HUMANCyc: MGLL
RegulationEnsembl's Regulation: ENSG00000074416
miRBase: chr3 :127,407,904-127,542,093
TargetScan: NM_001003794
cisRED: ENSG00000074416
ContextiHOP: MGLL
cancer metabolism search in PubMed: MGLL
UCL Cancer Institute: MGLL
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of MGLL in cancer cell metabolism1. Galli GG, Multhaupt HA, Carrara M, de Lichtenberg KH, Christensen IB, et al. (2014) Prdm5 suppresses Apc(Min)-driven intestinal adenomas and regulates monoacylglycerol lipase expression. Oncogene 33: 3342-3350. doi: 10.1038/onc.2013.283. go to article
2. Cadenas C, Vosbeck S, Hein EM, Hellwig B, Langer A, et al. (2012) Glycerophospholipid profile in oncogene-induced senescence. Biochim Biophys Acta 1821: 1256-1268. doi: 10.1016/j.bbalip.2011.11.008. go to article

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

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

Mutations for MGLL
* 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
ovaryMGLLchr3127438066127438086chr3127564415127564435
ovaryMGLLchr3127522999127523019MGLLchr3127525693127525713
ovaryMGLLchr3127528070127528090PCGF6chr10105086403105086423
ovaryMGLLchr3127528122127528142chr10120727510120727530
ovaryMGLLchr3127530155127530175NR2E1chr6108489988108490008
pancreasMGLLchr3127461420127461440chr3127406005127406025
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 MGLL related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BF819641FLNA10365X153580934153581464MGLL3596153127411024127413933
AI817662MGLL21253127410960127411083MGLL1203593127408820127409210
BI014363MGLL11003127509273127509373HDLBP1011862242169019242169104

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 # sample1             1  
GAIN (# sample)1             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=4

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=10)
Stat. for Synonymous SNVs
(# total SNVs=8)
Stat. for Deletions
(# total SNVs=1)
Stat. for Insertions
(# total SNVs=0)
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
chr3:127439934-127439934p.L148L2
chr3:127540605-127540605p.L19L2
chr3:127439932-127439932p.L148L2
chr3:127500709-127500709p.G52E1
chr3:127413947-127413947p.R219R1
chr3:127500727-127500727p.F46Y1
chr3:127413955-127413955p.V217I1
chr3:127439949-127439949p.V143I1
chr3:127540540-127540540p.P41H1
chr3:127413976-127413976p.G210S1

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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
# sample1 14      121   61 3
# mutation1 14      121   71 3
nonsynonymous SNV1  2       11   5  2
synonymous SNV  12      11    21 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
chr3:127439934p.L148L,MGLL2
chr3:127413999p.D177D,MGLL1
chr3:127441400p.L184L,MGLL1
chr3:127414007p.A164A,MGLL1
chr3:127500709p.A164V,MGLL1
chr3:127414013p.E154Q,MGLL1
chr3:127500727p.P136S,MGLL1
chr3:127429437p.V95I,MGLL1
chr3:127540634p.S83S,MGLL1
chr3:127429497p.P283S,MGLL1

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 MGLL 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 MGLL

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

ACACB,AOC3,AQP7,AQP7P1,ARHGEF15,C14orf180,CD300LG,
CIDEC,GLYAT,GPD1,GPR146,KCNIP2,LIPE,MGLL,
NPR1,PDE2A,PLIN1,PLIN4,RDH5,ROBO4,VWF
AIFM2,AOC3,CALB2,DMGDH,EHD2,EPHX1,GPD1,
HEPN1,CTIF,KLB,LIPE,MCAM,MGLL,MRAS,
MYO1C,NPR1,PLIN1,RBP4,RETSAT,SLC29A4,TUSC5

ATP2A3,B3GALT4,BCAS1,CAPN5,CCNG2,CDHR5,FER1L6,
GSN,FAM214B,LIPH,LOC646627,MGLL,MMP28,MUC2,
PLA2G10,PRKCD,SCNN1A,ST3GAL4,ST6GALNAC6,TSPAN1,VSIG2
ACOX1,APPL2,BAHD1,STPG1,CA4,CAPN2,CGN,
RHOV___CHP1,CLCN2,CNNM4,CTSA,ENPP1,GBA,MAST2,
MGLL,PEX26,RNF103,RUNDC1,SFXN1,SGK2,TMEM127
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 MGLL


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