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 NIT2

Basic gene info.	Gene symbol	NIT2
	Gene name	nitrilase family, member 2
	Synonyms	HEL-S-8a
	Cytomap	UCSC genome browser: 3q12.2
	Genomic location	chr3 :100053561-100074478
	Type of gene	protein-coding
	RefGenes	NM_020202.4,
	Ensembl id	ENSG00000114021
	Description	Nit protein 2epididymis secretory sperm binding protein Li 8anitrilase homolog 2omega-amidase NIT2
	Modification date	20141207
dbXrefs	HGNC : HGNC
	HPRD : 17634
Protein	UniProt: Q9NQR4 go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_NIT2
	BioGPS: 56954
	Gene Expression Atlas: ENSG00000114021
	The Human Protein Atlas: ENSG00000114021
Pathway	NCI Pathway Interaction Database: NIT2
	KEGG: NIT2
	REACTOME: NIT2
	ConsensusPathDB
	Pathway Commons: NIT2
Metabolism	MetaCyc: NIT2
	HUMANCyc: NIT2
Regulation	Ensembl's Regulation: ENSG00000114021
	miRBase: chr3 :100,053,561-100,074,478
	TargetScan: NM_020202
	cisRED: ENSG00000114021
Context	iHOP: NIT2
	cancer metabolism search in PubMed: NIT2
	UCL Cancer Institute: NIT2
Assigned class in ccmGDB	A - This gene has a literature evidence and it belongs to cancer gene.
References showing role of NIT2 in cancer cell metabolism	1. Krasnikov BF, Chien C-H, Nostramo R, Pinto JT, Nieves E, et al. (2009) Identification of the putative tumor suppressor Nit2 as ω-amidase, an enzyme metabolically linked to glutamine and asparagine transamination. Biochimie 91: 1072-1080. go to article 2. Chien C-H, Gao Q-Z, Cooper AJ, Lyu J-H, Sheu S-Y (2012) Structural Insights into the Catalytic Active Site and Activity of Human Nit2/ω-Amidase KINETIC ASSAY AND MOLECULAR DYNAMICS SIMULATION. Journal of Biological Chemistry 287: 25715-25726. go to article

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Phenotypic Information for NIT2(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: NIT2
	Familial Cancer Database: NIT2

* 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_ALANINE_ASPARTATE_AND_GLUTAMATE_METABOLISM

Others
OMIM
Orphanet
Disease	KEGG Disease: NIT2
	MedGen: NIT2 (Human Medical Genetics with Condition)
	ClinVar: NIT2
Phenotype	MGI: NIT2 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: NIT2

Mutations for NIT2

* 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 NIT2 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=2

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=23)	Stat. for Synonymous SNVs (# total SNVs=6)

Stat. for Deletions (# total SNVs=1)	Stat. for Insertions (# total SNVs=0)
	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
chr3:100064474-100064474	p.E128*	3
chr3:100057936-100057936	p.R5C	2
chr3:100058688-100058688	p.K52K	2
chr3:100065064-100065064	p.R157Q	2
chr3:100073618-100073618	p.G229E	1
chr3:100058029-100058029	p.A36T	1
chr3:100059917-100059917	p.G83V	1
chr3:100065097-100065097	p.R168K	1
chr3:100073648-100073648	p.E239A	1
chr3:100058030-100058030	p.A36V	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		3	1				3			2	2	2			1	3		4
# mutation		1		3	1				4			2	2	2			1	3		4
nonsynonymous SNV				3	1				3				1	2			1	2		3
synonymous SNV		1							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
chr3:100065064	p.R157Q	2
chr3:100058042	p.S40Y	2
chr3:100058049	p.A51A	1
chr3:100067663	p.R255H	1
chr3:100058685	p.I61V	1
chr3:100067690	p.L80V	1
chr3:100058713	p.L80L	1
chr3:100071324	p.G83V	1
chr3:100058770	p.G83G	1
chr3:100073618	p.E128K	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 NIT2 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 NIT2

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


ALG3,TIMMDC1,CMSS1,CCDC58,CHCHD6,COX17,COX7B, DPY30,MRPL22,NDUFA1,NDUFB4,NIT2,POLR2H,TRMT10C, RNF7,RPL24,RUVBL1,TFG,TPRA1,TXNDC17,USMG5	ACSM2B,AMN,APOC3,BMP3,TBATA,IZUMO4,DCXR, EIF4EBP1,GCDH,MPST,NIT2,PCBD1,PCYT2,PDZD7, PMM1,PXMP2,SNORA14A,ST8SIA3,TH,TMEM120A,TTC36

AHCY,ATP5J2,CMSS1,MPLKIP,MALSU1,CHCHD2,CHCHD6, CMC1,DNAJC19,LOC440957,MRPL3,MRPL48,MRPS33,NHP2, NIT2,TRMT10C,ROMO1,RPL24,RPS21,SSBP1,THOC7	ACN9,DTD2,C1QBP,TMEM261,CCNC,DCTPP1,MRPL11, MRPL32,MRPS22,MRPS28,MRPS35,NIT2,NME2,RPS18, RPS6,TAF9,TMEM14B,TOMM22,TOMM6,UQCRH,WDR61

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 NIT2

There's no related Drug.

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Cross referenced IDs for NIT2

* 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