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 PFDN5

Basic gene info.	Gene symbol	PFDN5
	Gene name	prefoldin subunit 5
	Synonyms	MM-1\|MM1\|PFD5
	Cytomap	UCSC genome browser: 12q12
	Genomic location	chr12 :53689234-53693234
	Type of gene	protein-coding
	RefGenes	NM_002624.3, NM_145897.2,NM_145896.2,
	Ensembl id	ENSG00000123349
	Description	c-myc binding proteinmyc modulator-1
	Modification date	20141207
dbXrefs	MIM : 604899
	HGNC : HGNC
	Ensembl : ENSG00000123349
	Vega : OTTHUMG00000169675
Protein	UniProt: Q99471 go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_PFDN5
	BioGPS: 5204
	Gene Expression Atlas: ENSG00000123349
	The Human Protein Atlas: ENSG00000123349
Pathway	NCI Pathway Interaction Database: PFDN5
	KEGG: PFDN5
	REACTOME: PFDN5
	ConsensusPathDB
	Pathway Commons: PFDN5
Metabolism	MetaCyc: PFDN5
	HUMANCyc: PFDN5
Regulation	Ensembl's Regulation: ENSG00000123349
	miRBase: chr12 :53,689,234-53,693,234
	TargetScan: NM_002624
	cisRED: ENSG00000123349
Context	iHOP: PFDN5
	cancer metabolism search in PubMed: PFDN5
	UCL Cancer Institute: PFDN5
Assigned class in ccmGDB	A - This gene has a literature evidence and it belongs to cancer gene.
References showing role of PFDN5 in cancer cell metabolism	1. Zhang Pj, Wei R, Wen Xy, Ping L, Wang Cb, et al. (2012) Genes expression profiling of peripheral blood cells of patients with hepatocellular carcinoma. Cell biology international 36: 803-809. go to article

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Phenotypic Information for PFDN5(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: PFDN5
	Familial Cancer Database: PFDN5

* 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	604899; gene.
Orphanet
Disease	KEGG Disease: PFDN5
	MedGen: PFDN5 (Human Medical Genetics with Condition)
	ClinVar: PFDN5
Phenotype	MGI: PFDN5 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: PFDN5

Mutations for PFDN5

* 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 PFDN5 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
AI351791	CDK2AP2	15	480	11	67273968	67274432	PFDN5	477	614	12	53689349	53689685
CA307215	PI4K2A	18	537	10	99435289	99435808	PFDN5	534	725	12	53691852	53693162

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=11)	Stat. for Synonymous SNVs (# total SNVs=4)

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
chr12:53689386-53689386	p.L12R	3
chr12:53691830-53691830	p.T95R	1
chr12:53689707-53689707	p.L53L	1
chr12:53691896-53691896	p.I117S	1
chr12:53689715-53689715	p.K55K	1
chr12:53691907-53691907	p.L121F	1
chr12:53690048-53690048	p.L66L	1
chr12:53691936-53691936	p.?	1
chr12:53689355-53689355	p.A2S	1
chr12:53690060-53690060	p.?	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			2					1			1	2	2		1		3		1
# mutation	1			2					1			1	2	2		1		3		1
nonsynonymous SNV				1					1			1	1	2		1		2
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
chr12:53691675	p.I39V,PFDN5	1
chr12:53691676	p.V41M,PFDN5	1
chr12:53691682	p.T50R,PFDN5	1
chr12:53689355	p.I72S,PFDN5	1
chr12:53691830	p.L76F,PFDN5	1
chr12:53689386	p.A2S,PFDN5	1
chr12:53691896	p.L12R,PFDN5	1
chr12:53689395	p.L15P,PFDN5	1
chr12:53691907	p.L36L	1
chr12:53689658	p.L50L	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 PFDN5 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 PFDN5

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


ATP5G2,BLOC1S1,C12orf10,C12orf57,LAMTOR4,CCDC12,EDF1, MGMT,MRPL54,NDUFA2,PFDN5,RPL18,RPL29,RPL34, RPL36AL,RPL41,RPLP1,RPS14,RPS15,RPS9,WIBG	BUD31,CLTA,EIF3F,FAU,MRPS21,NME2,NSMCE1, PFDN5,RBMX2,RPL11,RPL24,RPL27A,RPL36,RPL36AL, RPL38,RPLP1,RPS11,RPS25,SARS,SNRPD2,SNRPF

C19orf53,EEF1B2,FAU,NDUFA13,OST4,PFDN5,RNF181, RPL24,RPL32,RPL35,RPL41,RPS10,RPS11,RPS14, RPS15A,RPS18,RPS3,RPS6,RPS7,RPS9,UBL5	C18orf21,COMMD3,CWC15,DNAJC19,DPY30,FAU,FIS1, HAX1,HSCB,MRPL40,NFU1,OST4,PFDN5,RPL24, RPL35A,RPS13,RPS3A,RSL24D1,EMC4,TPT1,ZFAND1

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 PFDN5

There's no related Drug.

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Cross referenced IDs for PFDN5

* 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