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 SCP2
Basic gene info.Gene symbolSCP2
Gene namesterol carrier protein 2
SynonymsNLTP|NSL-TP|SCP-2|SCP-CHI|SCP-X|SCPX
CytomapUCSC genome browser: 1p32
Genomic locationchr1 :53480609-53517289
Type of geneprotein-coding
RefGenesNM_001007098.2,
NM_001007099.2,NM_001007100.2,NM_001007250.2,NM_001193599.1,
NM_001193600.1,NM_001193617.1,NM_002979.4,
Ensembl idENSG00000116171
Descriptionnon-specific lipid-transfer proteinpropanoyl-CoA C-acyltransferasesterol carrier protein X
Modification date20141207
dbXrefs MIM : 184755
HGNC : HGNC
Ensembl : ENSG00000116171
HPRD : 01700
Vega : OTTHUMG00000008936
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_SCP2
BioGPS: 6342
Gene Expression Atlas: ENSG00000116171
The Human Protein Atlas: ENSG00000116171
PathwayNCI Pathway Interaction Database: SCP2
KEGG: SCP2
REACTOME: SCP2
ConsensusPathDB
Pathway Commons: SCP2
MetabolismMetaCyc: SCP2
HUMANCyc: SCP2
RegulationEnsembl's Regulation: ENSG00000116171
miRBase: chr1 :53,480,609-53,517,289
TargetScan: NM_001007098
cisRED: ENSG00000116171
ContextiHOP: SCP2
cancer metabolism search in PubMed: SCP2
UCL Cancer Institute: SCP2
Assigned class in ccmGDBC

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Phenotypic Information for SCP2(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: SCP2
Familial Cancer Database: SCP2
* 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_PEROXISOMAL_LIPID_METABOLISM
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: SCP2
MedGen: SCP2 (Human Medical Genetics with Condition)
ClinVar: SCP2
PhenotypeMGI: SCP2 (International Mouse Phenotyping Consortium)
PhenomicDB: SCP2

Mutations for SCP2
* 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
pancreasSCP2chr15350785053507870chr15352180153521821
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 SCP2 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AI082430SCP21436715351692953517282PJA23504335108714077108714160

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                
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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=36)
Stat. for Synonymous SNVs
(# total SNVs=11)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.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
chr1:53443986-53443986p.E258*3
chr1:53453714-53453714p.T329T2
chr1:53446176-53446176p.E312*2
chr1:53420454-53420454p.S125T1
chr1:53493736-53493736p.L444P1
chr1:53427289-53427289p.M171V1
chr1:53407488-53407488p.E30D1
chr1:53444026-53444026p.S271I1
chr1:53420455-53420455p.S125S1
chr1:53453727-53453727p.G334*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=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample2  7    4  6 1  53 8
# mutation2  7    4  6 1  63 10
nonsynonymous SNV2  5    3  5 1  33 6
synonymous SNV   2    1  1    3  4
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
chr1:53420462p.K354K,SCP21
chr1:53444004p.A115V,SCP21
chr1:53407488p.A363S,SCP21
chr1:53480680p.Y130C,SCP21
chr1:53427185p.V376V,SCP21
chr1:53444026p.E30D,SCP21
chr1:53413730p.H145N,SCP21
chr1:53480709p.A6D,SCP21
chr1:53427241p.Q59Q,SCP21
chr1:53446082p.C181C,SCP21

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 SCP2 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 SCP2

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

ACSM1,ALOX15B,ATP13A4,B3GAT1,C15orf43,CHRNA2,CLDN8,
FKBP5,HERC3,ISX,LST-3TM12,MYPN,PNLIPRP3,SC5D,
SCP2,SLC38A4,SLCO1B1,SULT1C3,TMIGD1,UGT2B28,ZNF652
ADAM2,AKR1D1,ALOX15B,APOD,C15orf43,DHRS2,EPS8L3,
FADS2,FAR2,FDFT1,HPGD,IDI1,IYD,LONP2,
LST-3TM12,PNLIPRP3,SC5D,SCP2,SERHL,TMPRSS11F,UGT2B10

ABCD3,AHCYL1,ANKRD13C,C1orf210,CMPK1,CPT2,DDAH1,
FPGT,GNG12,GPBP1L1,OMA1,PIGK,PPCS,RBM47,
SCP2,SLC25A24,SLC35A3,STXBP3,SUCLG2,TMEM167B,TMEM59
ACBD5,ACSL5,ANKS4B,CD164,CMBL,CTAGE5,GIPC2,
GLOD4,HSD17B11,IPMK,LMBRD1,OCIAD2,PGRMC1,RBKS,
RNF128,SCP2,SEPHS2,SEPSECS,SNX24,STRADB,TMBIM6
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 SCP2
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB00145sterol carrier protein 2approved; nutraceuticalGlycine


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Cross referenced IDs for SCP2
* 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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