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 MOGS
Basic gene info.Gene symbolMOGS
Gene namemannosyl-oligosaccharide glucosidase
SynonymsCDG2B|CWH41|DER7|GCS1
CytomapUCSC genome browser: 2p13.1
Genomic locationchr2 :74688183-74692537
Type of geneprotein-coding
RefGenesNM_001146158.1,
NM_006302.2,
Ensembl idENSG00000115275
Descriptionglucosidase Iprocessing A-glucosidase I
Modification date20141219
dbXrefs MIM : 601336
HGNC : HGNC
Ensembl : ENSG00000115275
HPRD : 03214
Vega : OTTHUMG00000152886
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_MOGS
BioGPS: 7841
Gene Expression Atlas: ENSG00000115275
The Human Protein Atlas: ENSG00000115275
PathwayNCI Pathway Interaction Database: MOGS
KEGG: MOGS
REACTOME: MOGS
ConsensusPathDB
Pathway Commons: MOGS
MetabolismMetaCyc: MOGS
HUMANCyc: MOGS
RegulationEnsembl's Regulation: ENSG00000115275
miRBase: chr2 :74,688,183-74,692,537
TargetScan: NM_001146158
cisRED: ENSG00000115275
ContextiHOP: MOGS
cancer metabolism search in PubMed: MOGS
UCL Cancer Institute: MOGS
Assigned class in ccmGDBC

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

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

Mutations for MOGS
* 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 MOGS related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BG979303MOGS1011227468949074689596MOGS11224527468842574688558
BF899407MOGS121027468849174689159HBB2085051152469065248183
BF899427MOGS721027468849174688694HBB2085081152469035248183
BF803127MOGS1513527468940574689528MALAT1128433116527174065272046
DA571383INO80B120327468697674687172MOGS19171827469143874691965

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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=50)
Stat. for Synonymous SNVs
(# total SNVs=9)
Stat. for Deletions
(# total SNVs=1)
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
chr2:74688908-74688908p.Q670E3
chr2:74689078-74689078p.R613Q2
chr2:74690323-74690323p.Y257C2
chr2:74691708-74691708p.A165D2
chr2:74688678-74688678p.D746D2
chr2:74689312-74689312p.R535Q2
chr2:74690475-74690475p.F206F2
chr2:74688835-74688835p.L694P1
chr2:74689868-74689868p.P350S1
chr2:74691854-74691854p.?1

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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
# sample52111  5    73 1 312 9
# mutation52111  5    74 1 314 9
nonsynonymous SNV4218  5    53   110 6
synonymous SNV1  3       21 1 24 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])

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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
chr2:74689172p.L582L,MOGS2
chr2:74690021p.P128L,MOGS2
chr2:74688908p.G299S,MOGS2
chr2:74691819p.Q670E,MOGS2
chr2:74689728p.A365T,MOGS1
chr2:74688556p.P246S,MOGS1
chr2:74689941p.R751R,MOGS1
chr2:74688835p.R601R,MOGS1
chr2:74691657p.R596W,MOGS1
chr2:74689757p.Q359H,MOGS1

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 MOGS 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 MOGS

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

ATAD3A,B4GALT2,PRADC1,CTU2,DAZAP1,ECE2,FAM58A,
GTF2H4,HTRA2,LEMD2,MOGS,MUTYH,PCGF1,PLOD3,
PREB,PRKCSH,RTKN,SMYD5,TMUB1,WDR46,YIPF2
ANAPC2,ARFGAP1,C19orf25,CC2D1A,CNOT3,CXXC1,EHMT2,
GAK,GGA1,HMG20B,MAN1B1,MOGS,NDOR1,PPOX,
RABEP2,RHOT2,SLC12A9,SPPL2B,TARBP2,TRIM11,TRIM28

AHSA2,ANKS3,ATG4B,CEP131,C2orf68,RABL6,CAPN10,
CDK10,E4F1,EIF2B4,ING5,KANSL3,MOGS,RECQL5,
SMPD4,SNAPC4,SNRNP70,STK25,SUPT7L,TMCO6,ZNF142
ABCF3,ADRBK1,AP1G2,ARHGEF10L,ATP13A1,ATP6AP1,GPR56,
GTF3C2,HDAC6,IGSF8,KIAA1804,LPAR5,MEN1,MOGS,
POLG,RFX1,SEMA4G,SH3RF2,SYK,TYK2,ZBED4
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 MOGS


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