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 MOCS2
Basic gene info.Gene symbolMOCS2
Gene namemolybdenum cofactor synthesis 2
SynonymsMCBPE|MOCO1|MOCODB|MPTS
CytomapUCSC genome browser: 5q11
Genomic locationchr5 :52393894-52405598
Type of geneprotein-coding
RefGenesNM_004531.4,
NM_176806.3,
Ensembl idENSG00000164172
DescriptionMOCS2AMOCS2Bmolybdenum cofactor biosynthesis protein Emolybdopterin synthase small and large subunitmolybdopterin synthase sulfur carrier subunit
Modification date20141215
dbXrefs MIM : 603708
HGNC : HGNC
Ensembl : ENSG00000164172
HPRD : 04750
Vega : OTTHUMG00000096981
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_MOCS2
BioGPS: 4338
Gene Expression Atlas: ENSG00000164172
The Human Protein Atlas: ENSG00000164172
PathwayNCI Pathway Interaction Database: MOCS2
KEGG: MOCS2
REACTOME: MOCS2
ConsensusPathDB
Pathway Commons: MOCS2
MetabolismMetaCyc: MOCS2
HUMANCyc: MOCS2
RegulationEnsembl's Regulation: ENSG00000164172
miRBase: chr5 :52,393,894-52,405,598
TargetScan: NM_004531
cisRED: ENSG00000164172
ContextiHOP: MOCS2
cancer metabolism search in PubMed: MOCS2
UCL Cancer Institute: MOCS2
Assigned class in ccmGDBC

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Phenotypic Information for MOCS2(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: MOCS2
Familial Cancer Database: MOCS2
* 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_VITAMINS_AND_COFACTORS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: MOCS2
MedGen: MOCS2 (Human Medical Genetics with Condition)
ClinVar: MOCS2
PhenotypeMGI: MOCS2 (International Mouse Phenotyping Consortium)
PhenomicDB: MOCS2

Mutations for MOCS2
* 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 MOCS2 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
CF529200MOCS21519055239390152394076DAB118120015771222657712245
AA659769MOCS216655240249052402591PTH2R491282209382881209383318

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=10)
Stat. for Synonymous SNVs
(# total SNVs=4)
Stat. for Deletions
(# total SNVs=1)
Stat. for Insertions
(# total SNVs=2)

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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
chr5:52398014-52398014p.I47V2
chr5:52396238-52396238p.?2
chr5:52402939-52402940p.L23fs*52
chr5:52402976-52402976p.C10Y2
chr5:52394456-52394456p.E181D1
chr5:52394488-52394488p.E171K1
chr5:52398030-52398030p.E41E1
chr5:52396255-52396255p.P163S1
chr5:52402940-52402940p.P22fs*21
chr5:52396335-52396335p.I136T1

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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=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample 1 1    1  11   2  6
# mutation 1 1    1  11   2  6
nonsynonymous SNV 1      1  11   2  6
synonymous SNV   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
chr5:52394488p.L54L1
chr5:52404424p.A51V1
chr5:52396255p.P83S1
chr5:52404427p.V81F1
chr5:52396335p.E78K1
chr5:52404436p.S8P,MOCS21
chr5:52397233p.H45Q1
chr5:52397991p.S23L1
chr5:52398001p.R22H1
chr5:52402945p.T19I1

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 MOCS2 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 MOCS2

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

C18orf32,SMIM15,CDK7,CETN3,COMMD10,GPBP1,MED7,
MOCS2,MRPS36,PFDN1,POC5,PPP2CA,REEP5,RIOK2,
SREK1IP1,SKP1,SMN2,TAF9,TBCA,UBE2B,ZCCHC9
ANXA7,ATG4A,C11orf74,EIF4E3,GTF2H5,ISCA1,KCMF1,
MAP1LC3B,METTL5,MKKS,MOCS2,MORF4L1,PAIP2,RAB7A,
SMAP1,SNAPIN,STRAP,TTC1,UBE2A,UBE2V2,VPS29

ATP5C1,ATP5L,ATP5O,TRAPPC13,CCDC58,MDH1,MOCS2,
MRPL1,MRPL22,MRPL47,MRPS36,NDUFAF2,NDUFS4,NUDCD2,
RPL26L1,SUB1,TAF9,TBCA,TTC1,UQCRQ,ZCCHC9
ARMC1,BRK1,CAPZA2,COPS2,COPS8,DNAJC8,COX20,
FBXL5,FRG1,FUNDC2,GLO1,LYRM5,METTL5,MOCS2,
PCNP,PFDN1,PRKRA,RWDD1,RWDD2B,SNX3,UBE2V2
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 MOCS2


There's no related Drug.
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Cross referenced IDs for MOCS2
* 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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