Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

Home

Search

Download

 Statistics

Help

About Us

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 ALDOB
Basic gene info.Gene symbolALDOB
Gene namealdolase B, fructose-bisphosphate
SynonymsALDB|ALDO2
CytomapUCSC genome browser: 9q21.3-q22.2
Genomic locationchr9 :104182841-104198062
Type of geneprotein-coding
RefGenesNM_000035.3,
Ensembl idENSG00000136872
Descriptionaldolase 2aldolase B, fructose-bisphosphatasefructose-bisphosphate aldolase Bliver-type aldolase
Modification date20141207
dbXrefs MIM : 612724
HGNC : HGNC
Ensembl : ENSG00000136872
HPRD : 01972
Vega : OTTHUMG00000020378
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ALDOB
BioGPS: 229
Gene Expression Atlas: ENSG00000136872
The Human Protein Atlas: ENSG00000136872
PathwayNCI Pathway Interaction Database: ALDOB
KEGG: ALDOB
REACTOME: ALDOB
ConsensusPathDB
Pathway Commons: ALDOB
MetabolismMetaCyc: ALDOB
HUMANCyc: ALDOB
RegulationEnsembl's Regulation: ENSG00000136872
miRBase: chr9 :104,182,841-104,198,062
TargetScan: NM_000035
cisRED: ENSG00000136872
ContextiHOP: ALDOB
cancer metabolism search in PubMed: ALDOB
UCL Cancer Institute: ALDOB
Assigned class in ccmGDBC

Top
Phenotypic Information for ALDOB(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ALDOB
Familial Cancer Database: ALDOB
* 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_GLYCOLYSIS_GLUCONEOGENESIS
KEGG_FRUCTOSE_AND_MANNOSE_METABOLISM
BIOCARTA_GLYCOLYSIS_PATHWAY
REACTOME_METABOLISM_OF_CARBOHYDRATES
REACTOME_GLUCOSE_METABOLISM

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

Mutations for ALDOB
* 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
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'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
ovaryALDOBchr9104193334104193354chr9104214505104214525
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 ALDOB related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BC005314TXNL4B1180167208852672090495ALDOB1725839104183658104184069
AI061606INS-IGF21661121530362153101ALDOB646609104188841104193146
AI133003SERPINA11172149484929294849463ALDOB1593989104188898104192056

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

Top
check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample1                
GAIN (# sample)                 
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)

Top
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=7

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=48)
Stat. for Synonymous SNVs
(# total SNVs=11)
Stat. for Deletions
(# total SNVs=2)
Stat. for Insertions
(# total SNVs=0)
There's no inserted snv.

Top
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
chr9:104184190-104184190p.?6
chr9:104192065-104192065p.K99R5
chr9:104184103-104184103p.C361*2
chr9:104189764-104189764p.Q180H2
chr9:104187208-104187208p.L306M2
chr9:104192139-104192139p.I74I2
chr9:104192152-104192152p.I70T2
chr9:104193071-104193071p.A33A2
chr9:104193159-104193159p.R4Q2
chr9:104192063-104192063p.E100K2

Top
check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=5

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample12 161 3 2  32 1111516
# mutation12 131 3 2  32 1112517
nonsynonymous SNV 2 111 3    32 1 9416
synonymous SNV1  2    2      131 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])

Top
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
chr9:104192065p.K99R5
chr9:104192139p.R4Q2
chr9:104187203p.I74I2
chr9:104187208p.Q180H2
chr9:104193159p.Q307Q2
chr9:104189764p.L306M2
chr9:104192063p.E100K2
chr9:104187258p.T9A1
chr9:104192199p.T363A1
chr9:104189790p.K230T1

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 ALDOB 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]

Top
Gene Expression for ALDOB

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))
Top
check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


Top
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

ALDOB,APCS,APOA2,APOA4,APOC3,ARG1,C8A,
C9,CREB3L3,CRP,F2,FABP1,FGF23,HP,
ITIH1,MT1B,PLG,SERPINA7,SERPINC1,SULT2A1,TM4SF5
ALDH1A1,ALDOB,ANGPT1,PPP1R36,TPGS2,NPR3,MCUR1,
CES1P1,CHRDL1,ECM2,GPLD1,ITGB1,KLHL5,NEK7,
NPY5R,PTPRQ,RGS6,RHOQ,SCIN,SPATA22,STS

ABCG2,ALDOB,B3GALT5,BCAS1,BTNL3,C11orf86,CDHR2,
DHRS9,FMO5,GLRA4,HSD17B2,HTR1D,KRT20,LOC339568,
OBP2A,OBP2B,ST6GALNAC6,TSPAN1,UGT1A5,VSIG1,ZAN
AADAC,ALDOB,APOA1,APOA4,APOB,APOC3,C17orf78,
ERICH4,CEACAM20,ENPEP,FABP6,KCNJ13,SLC2A2,SLC7A9,
SPA
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

Top
check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

Top
Pharmacological Information for ALDOB


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



Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @
Site Policies | State of Texas