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 MBOAT2
Basic gene info.Gene symbolMBOAT2
Gene namemembrane bound O-acyltransferase domain containing 2
SynonymsLPCAT4|OACT2
CytomapUCSC genome browser: 2p25.1
Genomic locationchr2 :8996700-9143876
Type of geneprotein-coding
RefGenesNM_138799.2,
Ensembl idENSG00000143797
Description1-acylglycerophosphate O-acyltransferase1-acylglycerophosphoethanolamine O-acyltransferaseLPAATLPEATLPLAT 2O-acyltransferase (membrane bound) domain containing 2O-acyltransferase domain-containing protein 2lyso-PA acyltransferaselyso-PE acyltransf
Modification date20141207
dbXrefs MIM : 611949
HGNC : HGNC
HPRD : 11410
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_MBOAT2
BioGPS: 129642
Gene Expression Atlas: ENSG00000143797
The Human Protein Atlas: ENSG00000143797
PathwayNCI Pathway Interaction Database: MBOAT2
KEGG: MBOAT2
REACTOME: MBOAT2
ConsensusPathDB
Pathway Commons: MBOAT2
MetabolismMetaCyc: MBOAT2
HUMANCyc: MBOAT2
RegulationEnsembl's Regulation: ENSG00000143797
miRBase: chr2 :8,996,700-9,143,876
TargetScan: NM_138799
cisRED: ENSG00000143797
ContextiHOP: MBOAT2
cancer metabolism search in PubMed: MBOAT2
UCL Cancer Institute: MBOAT2
Assigned class in ccmGDBC

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Phenotypic Information for MBOAT2(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: MBOAT2
Familial Cancer Database: MBOAT2
* 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
KEGG_GLYCEROPHOSPHOLIPID_METABOLISM
REACTOME_PHOSPHOLIPID_METABOLISM
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: MBOAT2
MedGen: MBOAT2 (Human Medical Genetics with Condition)
ClinVar: MBOAT2
PhenotypeMGI: MBOAT2 (International Mouse Phenotyping Consortium)
PhenomicDB: MBOAT2

Mutations for MBOAT2
* 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
breastMBOAT2chr290176429017642PRKCEchr24632594046325940
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 MBOAT2 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BP270882FABP213274120240727120243273MBOAT2323583290032759003534
AW001546IDH112422209100954209101195MBOAT2239557290778959078213

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=7

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=27)
Stat. for Synonymous SNVs
(# total SNVs=6)
Stat. for Deletions
(# total SNVs=4)
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
chr2:9098719-9098719p.R43Q7
chr2:9017342-9017342p.R170C3
chr2:9028160-9028160p.E147K2
chr2:9013315-9013315p.S269L2
chr2:9004366-9004366p.?2
chr2:9008594-9008594p.L323F2
chr2:8998958-8998958p.K472E2
chr2:9022671-9022673p.L159delL2
chr2:9013287-9013287p.Y278Y1
chr2:9098635-9098635p.C71S1

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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=6

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample 1 8  1 1  4  1 3216
# mutation 1 9  1 1  3  1 3213
nonsynonymous SNV 1 8       3  1 2 13
synonymous SNV   1  1 1       12  
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
chr2:9098719p.R43Q6
chr2:9008594p.L323F2
chr2:9000883p.T44I1
chr2:9017257p.S321F1
chr2:9002816p.R316S1
chr2:9017322p.G308W1
chr2:9004330p.A295A1
chr2:9028160p.H263H1
chr2:9048798p.A232V1
chr2:9008601p.I202I1

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 MBOAT2 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 MBOAT2

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

BMI1,LINC00589,DNAJC1,ENPP3,FAM65C,MAP10,KRT40,
KRTAP1-3,KRTAP1-5,KRTAP3-2,KRTAP3-3,LGALS9B,LGALS9C,MAN1A1,
MBOAT2,NPY6R,PARP8,PDZRN3,SIPA1L2,SPAG17,ZNRF3
ACSL3,ALCAM,ALDH3B2,CEP128,CCDC15,CROT,FMO5,
GCNT2,IQGAP2,KIAA1244,MBOAT2,MCCC2,NUP62CL,PON3,
PTPLAD1,PXMP4,SLC38A1,TMEM62,TMEM63C,TRIM36,UGT2B11

ASAP2,LINC01550,HID1,CAMK2D,CAPN9,CREB3L1,FAM114A1,
FAM167A,FAM174B,GFI1,MBOAT2,MLPH,PTGER2,SHROOM3,
SIDT1,SLC16A7,SLC36A4,SPDEF,ST3GAL4,TOX,ZBTB7C
AP2B1,LINC00589,C9orf152,CASD1,CPM,GALNT5,IL1R2,
KLK1,MAP3K5,MBOAT2,MFSD6L,MLPH,MTMR1,MYO5C,
NANS,QSOX1,SLC1A5,SLC7A4,SYTL4,TTC39A,WNK4
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 MBOAT2


There's no related Drug.
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Cross referenced IDs for MBOAT2
* 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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