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 RPS23

Basic gene info.	Gene symbol	RPS23
	Gene name	ribosomal protein S23
	Synonyms	S23
	Cytomap	UCSC genome browser: 5q14.2
	Genomic location	chr5 :81569138-81574235
	Type of gene	protein-coding
	RefGenes	NM_001025.4,
	Ensembl id	ENSG00000186468
	Description	40S ribosomal protein S23homolog of yeast ribosomal protein S28
	Modification date	20141207
dbXrefs	MIM : 603683
	HGNC : HGNC
	Ensembl : ENSG00000186468
	HPRD : 04729
	Vega : OTTHUMG00000162557
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_RPS23
	BioGPS: 6228
	Gene Expression Atlas: ENSG00000186468
	The Human Protein Atlas: ENSG00000186468
Pathway	NCI Pathway Interaction Database: RPS23
	KEGG: RPS23
	REACTOME: RPS23
	ConsensusPathDB
	Pathway Commons: RPS23
Metabolism	MetaCyc: RPS23
	HUMANCyc: RPS23
Regulation	Ensembl's Regulation: ENSG00000186468
	miRBase: chr5 :81,569,138-81,574,235
	TargetScan: NM_001025
	cisRED: ENSG00000186468
Context	iHOP: RPS23
	cancer metabolism search in PubMed: RPS23
	UCL Cancer Institute: RPS23
Assigned class in ccmGDB	C

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Phenotypic Information for RPS23(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: RPS23
	Familial Cancer Database: RPS23

* 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 REACTOME_METABOLISM_OF_MRNA REACTOME_METABOLISM_OF_RNA

Others
OMIM
Orphanet
Disease	KEGG Disease: RPS23
	MedGen: RPS23 (Human Medical Genetics with Condition)
	ClinVar: RPS23
Phenotype	MGI: RPS23 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: RPS23

Mutations for RPS23

* 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 RPS23 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
AI908980	RPS23	14	188	5	81573514	81574155	RPS24	189	253	10	79799960	79800413
BQ222647	RPS23	1	497	5	81571879	81574158	MRPL30	483	505	2	99879071	99879093
BM785206	TUBA1C	4	389	12	49658867	49663672	RPS23	383	455	5	81571883	81571955
AI889745	NLGN4X	1	44	X	6143720	6143763	RPS23	39	108	5	81571879	81571948
BF154662	SNX19	1	246	11	130750593	130753340	RPS23	238	380	5	81572280	81573597
CB217558	MRPL30	21	43	2	99879071	99879093	RPS23	29	345	5	81571879	81572337
CA429429	RPS23	13	85	5	81571879	81571951	CCDC80	83	596	3	112358666	112359590
AI982804	EFNA5	1	137	5	106713905	106714041	RPS23	124	486	5	81571295	81571656
H17554	CUTA	1	117	6	4865649	4866157	RPS23	101	505	5	81569969	81570373

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=6

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=1)	Stat. for Synonymous SNVs (# total SNVs=10)

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
chr5:81573670-81573670	p.G34G	6
chr5:81573514-81573514	p.K86K	1
chr5:81573573-81573573	p.A67T	1
chr5:81573622-81573622	p.R50R	1
chr5:81574149-81574149	p.A30A	1
chr5:81572042-81572042	p.G138G	1
chr5:81572228-81572228	p.N124H	1
chr5:81572316-81572316	p.P94P	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	5														2		1
# mutation			2	5														2		1
nonsynonymous SNV			1	4														1
synonymous SNV			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
chr5:81572316	p.P62P	1
chr5:81573526	p.I50I	1
chr5:81573540	p.H46Y	1
chr5:81573560	p.N39T	1
chr5:81573573	p.A35T	1
chr5:81573578	p.G33D	1
chr5:81573622	p.R18R	1
chr5:81572042	p.G106G	1
chr5:81572249	p.V85L	1
chr5:81572269	p.G78D	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 RPS23 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 RPS23

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


GNB2L1,HNRNPA1,NACA,RPL10,RPL10A,RPL11,RPL14, RPL15,RPL26,RPL29,RPL31,RPL32,RPL34,RPL37A, RPL6,RPL7A,RPS13,RPS14,RPS23,RPS4X,RPS8	EEF1B2,RPL10,RPL14,RPL22,RPL24,RPL30,RPL31, RPL32,RPL35A,RPL37,RPL38,RPL41,RPL4,RPL5, RPL6,RPS12,RPS23,RPS27A,RPS3A,RPS6,RPS7

BTF3,GNB2L1,RPL10A,RPL12,RPL14,RPL15,RPL29, RPL31,RPL32,RPL35A,RPL36,RPL37,RPL37A,RPL5, RPL7A,RPS13,RPS14,RPS23,RPS6,RPS8,RPS9	EEF1A1,RPL10,RPL12,RPL15,RPL19,RPL30,RPL32, RPL35A,RPL3,RPL38,RPL41,RPL6,RPL7A,RPLP1, RPS11,RPS12,RPS13,RPS23,RPS25,RPS3,RPS9

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 RPS23

There's no related Drug.

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Cross referenced IDs for RPS23

* 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