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 HAGHL
Basic gene info.Gene symbolHAGHL
Gene namehydroxyacylglutathione hydrolase-like
Synonyms-
CytomapUCSC genome browser: 16p13.3
Genomic locationchr16 :777265-779715
Type of geneprotein-coding
RefGenesNM_207112.1,
NM_001290137.1,NM_001290139.1,NM_032304.3,
Ensembl idENSG00000103253
DescriptionGLO2-like/ RJD12hydroxyacylglutathione hydrolase-like protein
Modification date20141207
dbXrefs HGNC : HGNC
Ensembl : ENSG00000103253
HPRD : 17087
Vega : OTTHUMG00000170560
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_HAGHL
BioGPS: 84264
Gene Expression Atlas: ENSG00000103253
The Human Protein Atlas: ENSG00000103253
PathwayNCI Pathway Interaction Database: HAGHL
KEGG: HAGHL
REACTOME: HAGHL
ConsensusPathDB
Pathway Commons: HAGHL
MetabolismMetaCyc: HAGHL
HUMANCyc: HAGHL
RegulationEnsembl's Regulation: ENSG00000103253
miRBase: chr16 :777,265-779,715
TargetScan: NM_207112
cisRED: ENSG00000103253
ContextiHOP: HAGHL
cancer metabolism search in PubMed: HAGHL
UCL Cancer Institute: HAGHL
Assigned class in ccmGDBC

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

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

Mutations for HAGHL
* 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
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows HAGHL related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AK128330SLC38A1012903177922041579259514HAGHL2901318816779428779715
AB209331HAGHL195216777131778868DHX389501083167214667772146810
DB345864HAGHL128816779428779715SLC38A10286551177922041579225322

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
There's no copy number variation information in COSMIC data for this gene.

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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=9)
Stat. for Synonymous SNVs
(# total SNVs=4)
Stat. for Deletions
(# total SNVs=6)
Stat. for Insertions
(# total SNVs=2)

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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
chr16:778928-778928p.E214fs*156
chr16:779048-779048p.L251L2
chr16:778024-778024p.H55H2
chr16:778820-778820p.T175T2
chr16:778863-778863p.D190N2
chr16:777510-777510p.M1V2
chr16:778952-778952p.G219G2
chr16:777597-777597p.V30M1
chr16:777598-777598p.V30G1
chr16:779053-779053p.A253E1

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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=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample   2       12       
# mutation   3       12       
nonsynonymous SNV   3       1        
synonymous SNV            2       
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
chr16:777597p.V30G,HAGHL1
chr16:777598p.A194S,HAGHL1
chr16:778875p.R218R,HAGHL1
chr16:779062p.V5V,HAGHL1
chr16:777524p.E24K,HAGHL1
chr16:777579p.V30M,HAGHL1

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 HAGHL 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 HAGHL

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

AMDHD2,TSR3,CCDC78,FAM173A,FAM195A,FBXL15,HAGHL,
METRN,MPG,MRPL28,MRPS34,NARFL,NDUFB10,NME3,
NUBP2,PGP,POLR2L,RHOT2,SCAND1,STUB1,TMEM191A
ADCK5,B4GALNT4,C16orf59,CLN6,DCTPP1,FBXL6,FEN1,
GALE,SLC52A2,HAGHL,MAZ,METRN,PAFAH1B3,PAQR4,
PUS1,PYCRL,RECQL4,RHPN1,RNASEH2A,TPRN,TRIM11

ATP5D,ADM5,CCDC78,CSN3,CT47A1,DCDC1,DPP7,
F12,FAM173A,FBXL16,FSCN2,HAGHL,ITGA2B,KCNK7,
KLRC1,KREMEN2,METRN,MT1H,OR6V1,SSPO,STUB1
APBA3,APOBEC3D,C19orf60,PPP1R35,DNAJC4,ABHD17A,FBXL15,
HAGHL,INO80B,LIME1,LRRC26,MUTYH,OGFOD2,PLCB2,
RGS14,SIPA1,TRADD,TSSK6,USF2,ZNF524,ZNF837
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 HAGHL


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