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 WARS

Basic gene info.	Gene symbol	WARS
	Gene name	tryptophanyl-tRNA synthetase
	Synonyms	GAMMA-2\|IFI53\|IFP53
	Cytomap	UCSC genome browser: 14q32.31
	Genomic location	chr14 :100800124-100842680
	Type of gene	protein-coding
	RefGenes	NM_004184.3, NM_173701.1,NM_213645.1,NM_213646.1,
	Ensembl id	ENSG00000140105
	Description	hWRSinterferon-induced protein 53trpRStryptophan tRNA ligase 1, cytoplasmictryptophan--tRNA ligase, cytoplasmic
	Modification date	20141207
dbXrefs	MIM : 191050
	HGNC : HGNC
	Ensembl : ENSG00000140105
	HPRD : 01845
	Vega : OTTHUMG00000171572
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_WARS
	BioGPS: 7453
	Gene Expression Atlas: ENSG00000140105
	The Human Protein Atlas: ENSG00000140105
Pathway	NCI Pathway Interaction Database: WARS
	KEGG: WARS
	REACTOME: WARS
	ConsensusPathDB
	Pathway Commons: WARS
Metabolism	MetaCyc: WARS
	HUMANCyc: WARS
Regulation	Ensembl's Regulation: ENSG00000140105
	miRBase: chr14 :100,800,124-100,842,680
	TargetScan: NM_004184
	cisRED: ENSG00000140105
Context	iHOP: WARS
	cancer metabolism search in PubMed: WARS
	UCL Cancer Institute: WARS
Assigned class in ccmGDB	C

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

Cancer Description
Cancer	CGAP: WARS
	Familial Cancer Database: WARS

* 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
KEGG_TRYPTOPHAN_METABOLISM

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

Mutations for WARS

* 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	WARS	chr14	100840200	100840220		chr14	100685879	100685899

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 WARS 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
BF988254	GADD45G	13	97	9	92219927	92220011	WARS	92	225	14	100803470	100808798
BM977906	MARK3	18	447	14	103964837	103969619	WARS	446	588	14	100835424	100835566
T63251	WARS	3	180	14	100801169	100801348	WARS	176	263	14	100801062	100801149
AI268655	WARS	10	63	14	100801073	100801126	WARS	58	427	14	100800717	100801086
AW794469	ZNF695	191	228	1	247163785	247163822	WARS	211	539	14	100817444	100817841
AW796806	WARS	6	67	14	100800943	100801004	WARS	60	143	14	100800860	100800943
S74703	WARS	1	450	14	100800854	100801304	NFYC	448	1862	1	41218892	41237273

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

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

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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=2

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=33)	Stat. for Synonymous SNVs (# total SNVs=10)

Stat. for Deletions (# total SNVs=0)	Stat. for Insertions (# total SNVs=1)
There's no deleted 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
chr14:100808747-100808747	p.Q367H	2
chr14:100801346-100801346	p.G428S	2
chr14:100828143-100828143	p.N72S	2
chr14:100828181-100828181	p.K59K	2
chr14:100826957-100826957	p.R119L	2
chr14:100809692-100809692	p.P287S	1
chr14:100835456-100835456	p.V23I	1
chr14:100801263-100801263	p.E455D	1
chr14:100820169-100820169	p.Q194*	1
chr14:100803478-100803478	p.G392V	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=2

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	5	1				2			5	5	1			5	4		7
# mutation			1	5	1				2			5	6	1			5	3		7
nonsynonymous SNV			1	4	1							4	4	1			4	2		6
synonymous SNV				1					2			1	2				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
chr14:100808747	p.G387S,WARS	2
chr14:100801346	p.Q326H,WARS	2
chr14:100820164	p.T412A,WARS	1
chr14:100801237	p.I225M,WARS	1
chr14:100828197	p.Y9C,WARS	1
chr14:100820787	p.V411I,WARS	1
chr14:100801271	p.F219L,WARS	1
chr14:100828209	p.V23I,WARS	1
chr14:100808790	p.V396V,WARS	1
chr14:100820803	p.G201R,WARS	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 WARS 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 WARS

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


ATP1A1,BPI,ATP1A1-AS1,CD58,CNTN6,CTNND1,GDAP2, IGSF3,MDGA2,NCALD,NOTCH2,PHGDH,SEC22B,SLC39A12, SLC43A3,SPON1,STAC2,VTCN1,WARS2,WDR3,ZNF697	AASDHPPT,C11orf57,URI1,TMA16,CNOT7,DARS,EIF2A, EIF2S3,EIF3E,MAT2B,MBLAC2,NUP54,POC1B,RSL24D1, TMEM69,TRMT5,WARS2,ZCCHC7,ZFAND1,ZNF22,ZNF277

ATP5F1,ATPAF2,C1QBP,CCBL2,COX5A,DPH5,LAMTOR5, MMACHC,MRPL1,MRPL37,MRPL44,MRPS27,OXSM,PCCB, PPA2,RPL5,SERBP1,TTC19,TXN2,UQCRH,WARS2	ADH1C,AGPAT5,ALDH3A1,ALDH7A1,MPLKIP,DTWD2,LRPPRC, MARS2,MRPS30,NDUFA10,PCCA,PIGU,PTDSS1,PTGER2, RNMTL1,RPIA,SEH1L,SERPINA6,SHQ1,TGIF1,WARS2

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 WARS

Cross-referenced pharmacological DB IDs from Uniprot

DB Category

DB Name

DB's ID and Url link

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
DB00150	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Tryptophan
DB01831	tryptophanyl-tRNA synthetase	experimental	Tryptophanyl-5'amp
DB04537	tryptophanyl-tRNA synthetase	experimental	L-Tryptophanamide
DB00145	tryptophanyl-tRNA synthetase	approved; nutraceutical	Glycine
DB00160	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Alanine
DB00125	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Arginine
DB00151	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Cysteine
DB00130	tryptophanyl-tRNA synthetase	approved; nutraceutical; investigational	L-Glutamine
DB00117	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Histidine
DB00149	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Leucine
DB00123	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Lysine
DB00134	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Methionine
DB00120	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Phenylalanine
DB00172	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Proline
DB00133	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Serine
DB00156	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Threonine
DB00135	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Tyrosine
DB00161	tryptophanyl-tRNA synthetase	approved; nutraceutical	L-Valine

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Cross referenced IDs for WARS

* 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