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 GALC

Basic gene info.	Gene symbol	GALC
	Gene name	galactosylceramidase
	Synonyms	-
	Cytomap	UCSC genome browser: 14q31
	Genomic location	chr14 :88399357-88459615
	Type of gene	protein-coding
	RefGenes	NM_000153.3, NM_001201401.1,NM_001201402.1,NM_001037525.2,
	Ensembl id	ENSG00000054983
	Description	GALCERasegalactocerebrosidasegalactocerebroside beta-galactosidasegalactosylceramide beta-galactosidasegalactosylceraminidase
	Modification date	20141219
dbXrefs	MIM : 606890
	HGNC : HGNC
	Ensembl : ENSG00000054983
	HPRD : 06057
	Vega : OTTHUMG00000028646
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_GALC
	BioGPS: 2581
	Gene Expression Atlas: ENSG00000054983
	The Human Protein Atlas: ENSG00000054983
Pathway	NCI Pathway Interaction Database: GALC
	KEGG: GALC
	REACTOME: GALC
	ConsensusPathDB
	Pathway Commons: GALC
Metabolism	MetaCyc: GALC
	HUMANCyc: GALC
Regulation	Ensembl's Regulation: ENSG00000054983
	miRBase: chr14 :88,399,357-88,459,615
	TargetScan: NM_000153
	cisRED: ENSG00000054983
Context	iHOP: GALC
	cancer metabolism search in PubMed: GALC
	UCL Cancer Institute: GALC
Assigned class in ccmGDB	C

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

Cancer Description
Cancer	CGAP: GALC
	Familial Cancer Database: GALC

* 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_SPHINGOLIPID_METABOLISM REACTOME_GLYCOSPHINGOLIPID_METABOLISM REACTOME_PHOSPHOLIPID_METABOLISM REACTOME_SPHINGOLIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

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

Mutations for GALC

* 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	GALC	chr14	88401403	88401423		chr14	92235144	92235164

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 GALC 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
DA803568	WDR74	2	110	11	62609173	62609281	GALC	111	566	14	88450801	88459517
U77631	RAPGEF6	40	177	5	130883800	130928129	GALC	165	461	14	88458648	88458945
BQ292312	GSN	14	237	9	124053312	124053530	GALC	229	383	14	88400470	88400624

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=3

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=43)	Stat. for Synonymous SNVs (# total SNVs=15)

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
chr14:88442730-88442730	p.E242K	3
chr14:88459434-88459434	p.G25G	3
chr14:88459448-88459448	p.A21P	3
chr14:88450880-88450880	p.?	2
chr14:88401080-88401080	p.R685H	2
chr14:88401110-88401110	p.Q675P	2
chr14:88454828-88454828	p.R79G	2
chr14:88407888-88407888	p.I562T	2
chr14:88454857-88454857	p.R69Q	2
chr14:88454870-88454870	p.?	2

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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	4		1	5	2		3		1			5	4			1	5	5		10
# mutation	4		1	6	2		3		1			4	4			1	6	6		10
nonsynonymous SNV	2			5			1					4	2				3	5		7
synonymous SNV	2		1	1	2		2		1				2			1	3	1		3

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
chr14:88434718	p.G300R,GALC	2
chr14:88442730	p.R267H,GALC	2
chr14:88431915	p.E219K,GALC	2
chr14:88401080	p.R662H,GALC	2
chr14:88450795	p.V152V,GALC	2
chr14:88431966	p.L627L,GALC	1
chr14:88401162	p.T358T,GALC	1
chr14:88450822	p.S129P,GALC	1
chr14:88414169	p.L622V,GALC	1
chr14:88459416	p.G300A,GALC	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 GALC 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 GALC

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


ALDH6A1,ARID4A,ATG2B,BTBD7,KIAA0825,CTSO,DICER1, ELF1,GALC,GOLGA5,NEK9,PJA2,RPS6KA5,SEL1L, SLC39A9,STAM2,TMEM87B,TRIP11,TTC8,ZC3H14,ZFYVE1	ACAP2,CASC4,EXOC1,FAM8A1,FAR1,FCHO2,GABPA, GALC,GNA13,MIER1,PAPD4,PRKAA1,RASA1,SEPT10, SLC35A5,SPTLC1,TBC1D15,TM9SF3,TMEM30A,UBL3,VAMP4

AP4S1,ACKR4___CX3CR1,CHIC1,CHURC1,FAM179B,FCF1,GALC, GOLGA5,LACTB2,LPCAT3,MBIP,NR1H4,PLBD1,PSEN1, SEC23A,SLC16A2,SPATA7,TINF2,TM9SF1,TMEM117,VIPAS39	A1CF,ABCA5,CLCN5,CTH,GALC,GOLIM4,GUCY2C, CERS6,MOGAT2,PPARGC1A,RNF128,SIDT2,SLC30A4,SMPD3, SSTR1,TMEM181,TNFRSF10D,USP37,VIL1,ZNF664,ZNF711

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 GALC

There's no related Drug.

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Cross referenced IDs for GALC

* 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