Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

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 ACER3
Basic gene info.Gene symbolACER3
Gene namealkaline ceramidase 3
SynonymsAPHC|PHCA
CytomapUCSC genome browser: 11q13.5
Genomic locationchr11 :76571916-76734850
Type of geneprotein-coding
RefGenesNM_001300953.1,
NM_001300954.1,NM_001300955.1,NM_018367.6,
Ensembl idENSG00000262970
DescriptionalkCDase 3alkaline CDase 3alkaline dihydroceramidase SB89alkaline phytoceramidasephytoceramidase, alkaline
Modification date20141207
dbXrefs HGNC : HGNC
HPRD : 17844
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ACER3
BioGPS: 55331
Gene Expression Atlas: ENSG00000262970
The Human Protein Atlas: ENSG00000262970
PathwayNCI Pathway Interaction Database: ACER3
KEGG: ACER3
REACTOME: ACER3
ConsensusPathDB
Pathway Commons: ACER3
MetabolismMetaCyc: ACER3
HUMANCyc: ACER3
RegulationEnsembl's Regulation: ENSG00000262970
miRBase: chr11 :76,571,916-76,734,850
TargetScan: NM_001300953
cisRED: ENSG00000262970
ContextiHOP: ACER3
cancer metabolism search in PubMed: ACER3
UCL Cancer Institute: ACER3
Assigned class in ccmGDBC

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Phenotypic Information for ACER3(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ACER3
Familial Cancer Database: ACER3
* 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/

check002.gifMetabolic Pathway Description
KEGG_SPHINGOLIPID_METABOLISM
REACTOME_PHOSPHOLIPID_METABOLISM
REACTOME_SPHINGOLIPID_METABOLISM
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: ACER3
MedGen: ACER3 (Human Medical Genetics with Condition)
ClinVar: ACER3
PhenotypeMGI: ACER3 (International Mouse Phenotyping Consortium)
PhenomicDB: ACER3

Mutations for ACER3
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram

- Statistics for Tissue and Mutation typeTop
- For Inter-chromosomal Variations
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'.
- 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'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
breastACER3chr117661255576612555TTC28chr222889560728895607
breastACER3chr117671869376718693chr126972268969722689
ovaryACER3chr117671385676713876ACER3chr117671435776714377
ovaryACER3chr117671584876715868ACER3chr117672646776726487
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)

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows ACER3 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AA113041ACER31297117673144176731737ACER3293414117673170676731827

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

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check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample14       3 2  21  
GAIN (# sample)14       3 2  11  
LOSS (# sample)             1   
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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check002.gifSNV 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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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=16)
Stat. for Synonymous SNVs
(# total SNVs=6)
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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check002.gifTop 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 positionMutation(aa)Unique sampleID count
chr11:76709843-76709843p.R159*3
chr11:76696756-76696756p.L130L2
chr11:76701596-76701596p.V139A1
chr11:76730798-76730798p.L243R1
chr11:76701605-76701605p.P142L1
chr11:76730805-76730805p.Y245Y1
chr11:76572075-76572075p.D19Y1
chr11:76701613-76701613p.H145Y1
chr11:76730809-76730809p.P247S1
chr11:76637651-76637651p.V52I1

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check002.gifSNV 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 ID1234567891011121314151617181920
# sample 3 41   1  3   1 2 2
# mutation 3 41   1  3   1 2 2
nonsynonymous SNV 3 21      3   1 2 1
synonymous SNV   2    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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check002.gifTop 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 PositionMutation(aa)Unique sampleID count
chr11:76696756p.L130L2
chr11:76709844p.P247S1
chr11:76726121p.V258V1
chr11:76572075p.D19Y1
chr11:76726161p.G58S1
chr11:76637669p.S66F1
chr11:76727789p.L70L1
chr11:76637694p.K112N1
chr11:76730798p.V139A1
chr11:76637707p.P142Q1

check002.gifOther 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

check002.gifCopy Number for ACER3 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 ACER3

check002.gifGene 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.

check002.gifDifferential 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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check002.gifCNV 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
check002.gifCo-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

ACER3,ALG8,AQP11,C11orf30,AAMDC,C2CD3,CAPN5,
CLNS1A,INTS4,INTS4P1,INTS4P2,KCTD21,NDUFC2,NEU3,
POLD3,PPME1,PRKRIR,RNF169,RSF1,USP35,UVRAG
ACER3,ACO1,ADRBK2,CD36,CELF2,COL4A3BP,CRYBG3,
DDHD2,EBF1,FERMT2,HRASLS5,KCNIP2,MMD,PDE3B,
PDE8A,PPP2R5A,PRKAR2B,RRAGC,SEPT11,SIK2,SLC25A16

ABHD5,ACER3,CAMK2D,CRK,GNA15,FFAR4,HEATR5A,
HIF1A,LIMA1,MOB1A,RAB27A,SEC24A,SEC24D,SGMS2,
SGPP1,SLK,SPPL2A,STXBP5,TAF13,TTC39B,ZFP91
ABHD3,ABHD5,ACER3,ACTR2,AHCYL2,C12orf49,CA2,
MCU,RHOV___CHP1,CXorf56,MICU2,FUT3,GDPD3,GRAMD3,
ITCH,NSUN3,NT5C2,NUDT4,PPARG,SFXN1,SGK2
check002.gifCo-Expressed gene's Protein-protein interaction 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

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check002.gifInteracting 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 ACER3


There's no related Drug.
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Cross referenced IDs for ACER3
* 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



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