Cancer Cell Metabolism Database ~~ Bioinformatics and Systems Medicine Laboratory ~~

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 PSMA6

Basic gene info.	Gene symbol	PSMA6
	Gene name	proteasome (prosome, macropain) subunit, alpha type, 6
	Synonyms	IOTA\|PROS27\|p27K
	Cytomap	UCSC genome browser: 14q13
	Genomic location	chr14 :35761573-35786682
	Type of gene	protein-coding
	RefGenes	NM_001282232.1, NM_001282233.1,NM_001282234.1,NM_002791.2,NR_104110.1,
	Ensembl id	ENSG00000100902
	Description	27 kDa prosomal proteinPROS-27macropain iota chainmacropain subunit iotamulticatalytic endopeptidase complex iota chainprosomal P27K proteinproteasome iota chainproteasome subunit alpha type-6proteasome subunit iota
	Modification date	20141207
dbXrefs	MIM : 602855
	HGNC : HGNC
	Ensembl : ENSG00000100902
	HPRD : 04171
	Vega : OTTHUMG00000140221
Protein	UniProt: P60900 go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_PSMA6
	BioGPS: 5687
	Gene Expression Atlas: ENSG00000100902
	The Human Protein Atlas: ENSG00000100902
Pathway	NCI Pathway Interaction Database: PSMA6
	KEGG: PSMA6
	REACTOME: PSMA6
	ConsensusPathDB
	Pathway Commons: PSMA6
Metabolism	MetaCyc: PSMA6
	HUMANCyc: PSMA6
Regulation	Ensembl's Regulation: ENSG00000100902
	miRBase: chr14 :35,761,573-35,786,682
	TargetScan: NM_001282232
	cisRED: ENSG00000100902
Context	iHOP: PSMA6
	cancer metabolism search in PubMed: PSMA6
	UCL Cancer Institute: PSMA6
Assigned class in ccmGDB	A - This gene has a literature evidence and it belongs to cancer gene.
References showing role of PSMA6 in cancer cell metabolism	1. Jastrzebski K, Hannan KM, House CM, Hung SS, Pearson RB, et al. (2011) A phospho-proteomic screen identifies novel S6K1 and mTORC1 substrates revealing additional complexity in the signaling network regulating cell growth. Cell Signal 23: 1338-1347. doi: 10.1016/j.cellsig.2011.03.016. go to article

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Phenotypic Information for PSMA6(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: PSMA6
	Familial Cancer Database: PSMA6

* 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/

Metabolic Pathway Description
REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES REACTOME_METABOLISM_OF_MRNA REACTOME_METABOLISM_OF_RNA

Others
OMIM	602855; gene.
Orphanet
Disease	KEGG Disease: PSMA6
	MedGen: PSMA6 (Human Medical Genetics with Condition)
	ClinVar: PSMA6
Phenotype	MGI: PSMA6 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: PSMA6

Mutations for PSMA6

* 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.

Structural Variants in COSMIC : go to COSMIC mutation histogram

There's no structural variation information in COSMIC data for this gene.

Related fusion transcripts : go to Chitars2.0

* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows PSMA6 related fusion information.

Head Gene

Tail Gene

Accession

Gene_a

qStart_a

qEnd_a

Chromosome_a

tStart_a

tEnd_a

Gene_a

qStart_a

qEnd_a

Chromosome_a

tStart_a

tEnd_a

Other DBs for Structural Variants

Structural Variants in Ensembl: go to Ensembl Structural variation

Structural Variants in dbVar: go to dbVar

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Copy Number Variations in COSMIC : go to COSMIC mutation CNV/Expr

Mutation type/ Tissue ID

brca

cns

cerv

endome

haematopo

kidn

Lintest

liver

lung

ovary

pancre

prost

skin

stoma

thyro

urina

Total # sample

GAIN (# sample)

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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SNV 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=1

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=15)	Stat. for Synonymous SNVs (# total SNVs=1)

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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Top 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 position	Mutation(aa)	Unique sampleID count
chr14:35778168-35778168	p.E74Q	1
chr14:35782183-35782183	p.G169E	1
chr14:35761686-35761686	p.S2P	1
chr14:35778193-35778193	p.G82A	1
chr14:35782239-35782239	p.D188H	1
chr14:35761712-35761712	p.D10E	1
chr14:35778201-35778201	p.A85S	1
chr14:35782253-35782253	p.E192E	1
chr14:35761737-35761737	p.E19Q	1
chr14:35780014-35780014	p.E108Q	1

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SNV 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 ID	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20
# sample	1	1	1				1		2			4	1			1	2	4	1	1
# mutation	1	1	1				1		2			5	1			1	2	5	1	1
nonsynonymous SNV	1	1	1				1		2			4	1				2	5	1	1
synonymous SNV												1				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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Top 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 Position	Mutation(aa)	Unique sampleID count
chr14:35779975	p.D76N,PSMA6	1
chr14:35786501	p.S2P	1
chr14:35761686	p.G83W,PSMA6	1
chr14:35780014	p.D10E	1
chr14:35761712	p.D109H,PSMA6	1
chr14:35780027	p.P18P	1
chr14:35761736	p.E113E,PSMA6	1
chr14:35780041	p.V25A	1
chr14:35761756	p.D157H,PSMA6	1
chr14:35780051	p.I13L,PSMA6	1

Other 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

Copy Number for PSMA6 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 PSMA6

Gene 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.

Differential 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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CNV 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

Co-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


BAZ1A,DTD2,C20orf24,DAD1,DKFZp686A1627,EAPP,FAM177A1, FKBP3,KIAA0391,NEDD8,PIGU,LRR1,PPP2R3C,PSMA3, PSMA6,PSME2,RBMY1E,SCAF11___GEMIN2___ZEB2,SNX6,SRP54,TACO1	ATP5E,ATP5L,SLIRP,C14orf2,EIF2S2,ENY2,GTF3A, LAMTOR5,LSM3,NDUFB1,POMP,PSMA1,PSMA2,PSMA3, PSMA6,PSMB1,PSMC1,PSMD6,TOMM5,TTC1,UBE2F

ASNA1,C14orf119,C14orf142,C14orf2,CNIH1,DAD1,EIF2S1, ERH,ISCA2,MRPL52,MRPL54,NDUFB1,NEDD8,PHF5A, PSMA3,PSMA6,PSMB5,PSMC6,PSME1,PSME2,ZNF410	EMC7,CKLF,DYNLT1,FAM49B,LSM1,NDUFV2,PGK1, POMP,PSMA1,PSMA2,PSMA3,PSMA4,PSMA5,PSMA6, PSMA7,PSMB1,PSMB3,PSMB4,PSMD13,RBX1,UFD1L

Co-Expressed gene's Protein-protein interaction Network Plot

: Open all plots for all cancer types

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Interacting 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 PSMA6

Cross-referenced pharmacological DB IDs from Uniprot

DB Category	DB Name	DB's ID and Url link
Chemistry	ChEMBL	CHEMBL2364701; -.
Organism-specific databases	PharmGKB	PA33880; -.
Organism-specific databases	CTD	5687; -.

Drug-Gene Interaction Network

* Gene Centered Interaction Network.

* Drug Centered Interaction Network.

DrugBank ID	Target Name	Drug Groups	Generic Name	Drug Centered Network	Drug Structure
DB07475	proteasome (prosome, macropain) subunit, alpha type, 6	experimental	N-[(1R)-1-(DIHYDROXYBORYL)-3-METHYLBUTYL]-N-(PYRAZIN-2-YLCARBONYL)-L-PHENYLALANINAMIDE
DB08515	proteasome (prosome, macropain) subunit, alpha type, 6	experimental	(3AR,6R,6AS)-6-((S)-((S)-CYCLOHEX-2-ENYL)(HYDROXY)METHYL)-6A-METHYL-4-OXO-HEXAHYDRO-2H-FURO[3,2-C]PYRROLE-6-CARBALDEHYDE
DB00171	proteasome (prosome, macropain) subunit, alpha type, 6	approved; nutraceutical	Adenosine triphosphate

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Cross referenced IDs for PSMA6

* 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