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 HSPD1

Basic gene info.	Gene symbol	HSPD1
	Gene name	heat shock 60kDa protein 1 (chaperonin)
	Synonyms	CPN60\|GROEL\|HLD4\|HSP-60\|HSP60\|HSP65\|HuCHA60\|SPG13
	Cytomap	UCSC genome browser: 2q33.1
	Genomic location	chr2 :198351307-198364998
	Type of gene	protein-coding
	RefGenes	NM_002156.4, NM_199440.1,
	Ensembl id	ENSG00000144381
	Description	60 kDa chaperonin60 kDa heat shock protein, mitochondrialP60 lymphocyte proteinchaperonin 60heat shock protein 65mitochondrial matrix protein P1short heat shock protein 60 Hsp60s1
	Modification date	20141207
dbXrefs	MIM : 118190
	HGNC : HGNC
	Ensembl : ENSG00000144381
	HPRD : 00318
	Vega : OTTHUMG00000154463
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_HSPD1
	BioGPS: 3329
	Gene Expression Atlas: ENSG00000144381
	The Human Protein Atlas: ENSG00000144381
Pathway	NCI Pathway Interaction Database: HSPD1
	KEGG: HSPD1
	REACTOME: HSPD1
	ConsensusPathDB
	Pathway Commons: HSPD1
Metabolism	MetaCyc: HSPD1
	HUMANCyc: HSPD1
Regulation	Ensembl's Regulation: ENSG00000144381
	miRBase: chr2 :198,351,307-198,364,998
	TargetScan: NM_002156
	cisRED: ENSG00000144381
Context	iHOP: HSPD1
	cancer metabolism search in PubMed: HSPD1
	UCL Cancer Institute: HSPD1
Assigned class in ccmGDB	C

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Phenotypic Information for HSPD1(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: HSPD1
	Familial Cancer Database: HSPD1

* 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_PROTEINS

Others
OMIM
Orphanet
Disease	KEGG Disease: HSPD1
	MedGen: HSPD1 (Human Medical Genetics with Condition)
	ClinVar: HSPD1
Phenotype	MGI: HSPD1 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: HSPD1

Mutations for HSPD1

* 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

- Statistics for Tissue and Mutation type

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- 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'.

Sample	Symbol_a	Chr_a	Start_a	End_a	Symbol_b	Chr_b	Start_b	End_b
ovary	HSPD1	chr2	198363597	198363617	BOLL	chr2	198640485	198640505

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)

Related fusion transcripts : go to Chitars2.0

* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows HSPD1 related fusion information.

ID	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
EG328792	LOC728190	9	493	10	88992357	88993327	HSPD1	493	622	2	198352587	198352716
DB195849	HSPA8	1	88	11	122930042	122930127	HSPD1	89	555	2	198361911	198364590
BC047350	CDH12	22	264	5	21883542	21883784	HSPD1	262	2391	2	198351308	198363518

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=25

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=46)	Stat. for Synonymous SNVs (# total SNVs=32)

Stat. for Deletions (# total SNVs=1)	Stat. for Insertions (# total SNVs=1)

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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
chr2:198363501-198363501	p.R24R	25
chr2:198363406-198363406	p.G56E	9
chr2:198353833-198353833	p.R370C	4
chr2:198362018-198362018	p.K91K	2
chr2:198359469-198359469	p.T173M	2
chr2:198358155-198358155	p.I254I	2
chr2:198353095-198353095	p.R446*	2
chr2:198363534-198363534	p.P13P	2
chr2:198353814-198353814	p.E376G	1
chr2:198361985-198361985	p.A102A	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=3

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	3	3		3			1	1	1	1		5	3	1		1	4	4		5
# mutation	3	3		5			1	1	1	1		6	3	1		1	4	5		3
nonsynonymous SNV	3	3		4			1	1	1	1		5	2	1			4	4		3
synonymous SNV				1								1	1			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
chr2:198353833	p.R370C,HSPD1	4
chr2:198363463	p.R37Q,HSPD1	2
chr2:198358104	p.D411D,HSPD1	1
chr2:198361985	p.K130N,HSPD1	1
chr2:198352698	p.G408W,HSPD1	1
chr2:198363502	p.A124P,HSPD1	1
chr2:198358117	p.V403G,HSPD1	1
chr2:198362005	p.T117A,HSPD1	1
chr2:198353198	p.T381T,HSPD1	1
chr2:198358118	p.E107A,HSPD1	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 HSPD1 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 HSPD1

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


CCNB1,DHTKD1,FAM92A1P2,GSG2,GTF3C3,HADH,HSPD1, HSPE1,MAD2L1,MARS2,MCM10,MND1,MOB4,NCAPG, NCL,NOP58,POLR3A,SEC63,TCP1,UPF2,ZC3H15	ACY1,BDH1,CCT4,CCT6A,CCT8,DAP3,GGCT, HSPD1,HSPE1,KPNB1,MRPL45,LRRC75A-AS1,NOL10,PMPCB, PPP1R1B,QARS,RPL4,RPL7,RSL1D1,SLC25A5,TCP1

ATIC,BCS1L,CMSS1,CCT7,EPT1,HSPD1,HSPE1, LRPPRC,LYAR,NIFK,MRPL30,MTIF2,NCL,NOL10, NOP58,PAICS,PNPT1,SSB,WDR12,WDR43,WDR75	CCT5,CCT6A,CCT8,CDC25A,CHAF1B,CHEK1,DTL, ECT2,EXO1,GGCT,GINS4,HELLS,HSPA9,HSPD1, KPNA2,MCM6,MELK,PAICS,RCC1,SRSF1,UMPS

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 HSPD1

There's no related Drug.

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Cross referenced IDs for HSPD1

* 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