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 RPS14

Basic gene info.	Gene symbol	RPS14
	Gene name	ribosomal protein S14
	Synonyms	EMTB\|S14
	Cytomap	UCSC genome browser: 5q31-q33
	Genomic location	chr5 :149823791-149829319
	Type of gene	protein-coding
	RefGenes	NM_001025070.1, NM_001025071.1,NM_005617.3,
	Ensembl id	ENSG00000164587
	Description	40S ribosomal protein S14emetine resistance
	Modification date	20141207
dbXrefs	MIM : 130620
	HGNC : HGNC
	Ensembl : ENSG00000164587
	HPRD : 00562
	Vega : OTTHUMG00000130080
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_RPS14
	BioGPS: 6208
	Gene Expression Atlas: ENSG00000164587
	The Human Protein Atlas: ENSG00000164587
Pathway	NCI Pathway Interaction Database: RPS14
	KEGG: RPS14
	REACTOME: RPS14
	ConsensusPathDB
	Pathway Commons: RPS14
Metabolism	MetaCyc: RPS14
	HUMANCyc: RPS14
Regulation	Ensembl's Regulation: ENSG00000164587
	miRBase: chr5 :149,823,791-149,829,319
	TargetScan: NM_001025070
	cisRED: ENSG00000164587
Context	iHOP: RPS14
	cancer metabolism search in PubMed: RPS14
	UCL Cancer Institute: RPS14
Assigned class in ccmGDB	C

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Phenotypic Information for RPS14(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: RPS14
	Familial Cancer Database: RPS14

* 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: RPS14
	MedGen: RPS14 (Human Medical Genetics with Condition)
	ClinVar: RPS14
Phenotype	MGI: RPS14 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: RPS14

Mutations for RPS14

* 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 RPS14 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
AF116710	WDR26	1	608	1	224613921	224614528	RPS14	600	1134	5	149823801	149829294
BU602070	RPS14	4	348	5	149826368	149829300	RPS19	348	482	19	42373271	42375484
AA450315	HDLBP	1	426	2	242176108	242179226	RPS14	418	481	5	149823849	149823912
BM680717	RPS14	19	128	5	149823798	149823906	WDR6	127	730	3	49050384	49050987
CN271804	METTL4	25	206	18	2542393	2542574	RPS14	197	278	5	149823801	149823882

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=3

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=9)	Stat. for Synonymous SNVs (# total SNVs=5)

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
chr5:149826385-149826385	p.L97L	2
chr5:149826426-149826426	p.R84G	2
chr5:149827164-149827164	p.T45A	1
chr5:149826398-149826402	p.?	1
chr5:149827186-149827186	p.F37L	1
chr5:149826406-149826406	p.I90I	1
chr5:149827233-149827233	p.A22T	1
chr5:149826413-149826413	p.L88Q	1
chr5:149827271-149827271	p.K9R	1
chr5:149826424-149826424	p.R84R	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		2		2					1	1		1					2	2
# mutation		2		1					1	1		1					1	2
nonsynonymous SNV		1		1					1	1								2
synonymous SNV		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
chr5:149826426	p.R84G,RPS14	2
chr5:149826385	p.L97L,RPS14	2
chr5:149826406	p.I90I,RPS14	1
chr5:149826448	p.L76F,RPS14	1
chr5:149826455	p.A74G,RPS14	1
chr5:149827271	p.K9R,RPS14	1
chr5:149827277	p.K7R,RPS14	1
chr5:149825182	p.I126I,RPS14	1
chr5:149826384	p.R98W,RPS14	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 RPS14 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 RPS14

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,PFDN5,RPL10,RPL10A,RPL11,RPL13A,RPL18, RPL24,RPL27A,RPL29,RPL31,RPL32,RPL34,RPL37A, RPL7A,RPS11,RPS14,RPS23,RPS4X,RPS8,RPS9	EEF1B2,GNB2L1,RPL10,RPL10A,RPL12,RPL13,RPL13A, RPL14,RPL18,RPL19,RPL24,RPL29,RPL37,RPL7A, RPLP0,RPS11,RPS14,RPS2,RPS3,RPS6,RPS8

EEF1B2,HINT1,RPL10A,RPL15,RPL29,RPL32,RPL36, RPS10,RPS11,RPS14,RPS15A,RPS18,RPS23,RPS3, RPS3A,RPS6,RPS7,RPS8,RPS9,RPSA,RPSAP58	ATRAID,EEF1B2,MRPL43,LRRC75A-AS1,RPL24,RPL27A,RPL35, RPS10,RPS11,RPS13,RPS14,RPS18,RPS21,RPS3, RPS3A,RPS5,RPS6,RPS7,RPS8,TMEM14B,TPT1

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 RPS14

There's no related Drug.

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Cross referenced IDs for RPS14

* 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