Cancer Cell Metabolism Gene Database

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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 AKR1A1
Basic gene info.Gene symbolAKR1A1
Gene namealdo-keto reductase family 1, member A1 (aldehyde reductase)
SynonymsALDR1|ALR|ARM|DD3|HEL-S-6
CytomapUCSC genome browser: 1p33-p32
Genomic locationchr1 :46016454-46035723
Type of geneprotein-coding
RefGenesNM_001202414.1,
NM_006066.3,NM_153326.2,NM_001202413.1,
Ensembl idENSG00000117448
DescriptionHEL-S-165mPalcohol dehydrogenasealcohol dehydrogenase [NADP(+)]aldehyde reductasealdo-keto reductase family 1 member A1dihydrodiol dehydrogenase 3epididymis secretory protein Li 6epididymis secretory sperm binding protein Li 165mP
Modification date20141207
dbXrefs MIM : 103830
HGNC : HGNC
Ensembl : ENSG00000117448
HPRD : 00069
Vega : OTTHUMG00000007740
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_AKR1A1
BioGPS: 10327
Gene Expression Atlas: ENSG00000117448
The Human Protein Atlas: ENSG00000117448
PathwayNCI Pathway Interaction Database: AKR1A1
KEGG: AKR1A1
REACTOME: AKR1A1
ConsensusPathDB
Pathway Commons: AKR1A1
MetabolismMetaCyc: AKR1A1
HUMANCyc: AKR1A1
RegulationEnsembl's Regulation: ENSG00000117448
miRBase: chr1 :46,016,454-46,035,723
TargetScan: NM_001202414
cisRED: ENSG00000117448
ContextiHOP: AKR1A1
cancer metabolism search in PubMed: AKR1A1
UCL Cancer Institute: AKR1A1
Assigned class in ccmGDBC

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Phenotypic Information for AKR1A1(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: AKR1A1
Familial Cancer Database: AKR1A1
* 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_GLYCEROLIPID_METABOLISM

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: AKR1A1
MedGen: AKR1A1 (Human Medical Genetics with Condition)
ClinVar: AKR1A1
PhenotypeMGI: AKR1A1 (International Mouse Phenotyping Consortium)
PhenomicDB: AKR1A1

Mutations for AKR1A1
* 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
There's no intra-chromosomal structural variation.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
ovaryAKR1A1chr14602566946025689ITPK1chr149342598193426001
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 AKR1A1 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AI110770AKR1A1751814603300846033519MED2051763464187455341874670
BF876342AKR1A11827314603377846034033AKR1A126939314603445846034582
AF116602AKR1A1751814603300846033519MED20517209564187309241874670
AF074677AKR1A1751814603300846033519MED2051763464187455341874670
AW613413AKR1A11023114603483746035719CBY1224467223906748439067727

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 # sample                1
GAIN (# sample)                1
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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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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=17)
Stat. for Synonymous SNVs
(# total SNVs=12)
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
chr1:46027470-46027470p.A2T2
chr1:46034808-46034808p.?2
chr1:46034238-46034238p.P212S2
chr1:46033709-46033709p.T138S1
chr1:46034266-46034266p.R221H1
chr1:46027472-46027472p.A2A1
chr1:46034829-46034829p.T280T1
chr1:46033748-46033748p.V151M1
chr1:46034294-46034294p.E230E1
chr1:46027485-46027485p.L7L1

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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
# sample2  21   1  222 14115
# mutation2  21   1  222 13115
nonsynonymous SNV    1   1    2 121 1
synonymous SNV2  2       22   1 14
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
chr1:46034238p.P212S,AKR1A12
chr1:46027470p.A2T,AKR1A11
chr1:46034216p.Y241H,AKR1A11
chr1:46035600p.A2A,AKR1A11
chr1:46027472p.I259I,AKR1A11
chr1:46035610p.L7L,AKR1A11
chr1:46027485p.I261I,AKR1A11
chr1:46034256p.G11R,AKR1A11
chr1:46035615p.P262P,AKR1A11
chr1:46027497p.P26P,AKR1A11

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 AKR1A1 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 AKR1A1

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

AKR1A1,ATP6V0B,ATPIF1,AURKAIP1,C1orf123,PRADC1,COPE,
EDF1,GALE,GMPPA,HECTD3,LSM10,LYPLA2,MRPL41,
NAGK,PARK7,SEC61B,SRA1,TMEM53,UROD,ZBTB8OS
ADAM2,AFMID,AKR1A1,ALOX15B,B3GAT1,DHCR7,DHRS2,
EBP,FDPS,G6PD,GGT1,GGTLC2,GUSB,HAAO,
HIST1H3D,MFSD7,MVD,MVK,PNLIPRP3,SERHL2,SERHL

ADPRHL2,AKR1A1,AURKAIP1,SMIM12,C1orf50,COQ4,ECI1,
DPM3,EIF3I,LAMTOR5,IFI27L1,NDUFA6,OSGEP,PEF1,
PPCS,PSMD9,RER1,SCO2,TMEM125,TSPO,TXN2
ACY3,AKR1A1,FUOM,TMEM256,IDNK,CBR1,DDC,
DHRS4L2,F11,RMDN3,GALK1,GCHFR,HACL1,MMEL1,
MOCOS,PFKFB4,SAT2,SERPINA1,SLC37A4,TFEC,TMEM92
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 AKR1A1
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB01907aldo-keto reductase family 1, member A1 (aldehyde reductase)experimentalNicotinamide-Adenine-Dinucleotide
DB02383aldo-keto reductase family 1, member A1 (aldehyde reductase)experimentalTolrestat
DB03461aldo-keto reductase family 1, member A1 (aldehyde reductase)experimental2'-Monophosphoadenosine 5'-Diphosphoribose
DB00997aldo-keto reductase family 1, member A1 (aldehyde reductase)approved; investigationalDoxorubicin


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Cross referenced IDs for AKR1A1
* 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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