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 ADSSL1
Basic gene info.Gene symbolADSSL1
Gene nameadenylosuccinate synthase like 1
Synonyms-
CytomapUCSC genome browser: 14q32.33
Genomic locationchr14 :105196227-105213647
Type of geneprotein-coding
RefGenesNM_152328.3,
NM_199165.1,
Ensembl idENSG00000185100
DescriptionAMPSase 1IMP--aspartate ligase 1M-type adenylosuccinate synthetaseadSS 1adenylosuccinate synthetase isozyme 1adenylosuccinate synthetase, basic isozymeadenylosuccinate synthetase, muscle isozyme
Modification date20141207
dbXrefs MIM : 612498
HGNC : HGNC
Ensembl : ENSG00000185100
HPRD : 12433
Vega : OTTHUMG00000170818
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ADSSL1
BioGPS: 122622
Gene Expression Atlas: ENSG00000185100
The Human Protein Atlas: ENSG00000185100
PathwayNCI Pathway Interaction Database: ADSSL1
KEGG: ADSSL1
REACTOME: ADSSL1
ConsensusPathDB
Pathway Commons: ADSSL1
MetabolismMetaCyc: ADSSL1
HUMANCyc: ADSSL1
RegulationEnsembl's Regulation: ENSG00000185100
miRBase: chr14 :105,196,227-105,213,647
TargetScan: NM_152328
cisRED: ENSG00000185100
ContextiHOP: ADSSL1
cancer metabolism search in PubMed: ADSSL1
UCL Cancer Institute: ADSSL1
Assigned class in ccmGDBC

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Phenotypic Information for ADSSL1(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ADSSL1
Familial Cancer Database: ADSSL1
* 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_PURINE_METABOLISM
KEGG_ALANINE_ASPARTATE_AND_GLUTAMATE_METABOLISM
REACTOME_METABOLISM_OF_NUCLEOTIDES
REACTOME_PURINE_METABOLISM

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: ADSSL1
MedGen: ADSSL1 (Human Medical Genetics with Condition)
ClinVar: ADSSL1
PhenotypeMGI: ADSSL1 (International Mouse Phenotyping Consortium)
PhenomicDB: ADSSL1

Mutations for ADSSL1
* 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 ADSSL1 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a

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 # sample1                
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=5

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=34)
Stat. for Synonymous SNVs
(# total SNVs=19)
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
chr14:105196235-105196235p.V2V5
chr14:105196230-105196230p.M1L4
chr14:105196365-105196365p.L46L3
chr14:105207003-105207003p.R224H2
chr14:105209529-105209529p.?2
chr14:105207032-105207032p.E234K2
chr14:105207039-105207039p.S236F2
chr14:105213312-105213312p.S492*2
chr14:105208283-105208283p.V341M2
chr14:105207213-105207213p.P251S2

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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  154 3 1  3241 97 7
# mutation  153 3 1  3241 88 8
nonsynonymous SNV  142 2    3131 66 5
synonymous SNV   11 1 1   11  22 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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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
chr14:105190641p.P12S2
chr14:105207003p.S193F,ADSSL12
chr14:105207039p.P107S,ADSSL12
chr14:105204736p.R181H,ADSSL12
chr14:105212633p.P311H,ADSSL11
chr14:105205665p.S193S,ADSSL11
chr14:105207464p.R325H,ADSSL11
chr14:105208323p.R18R1
chr14:105212696p.F196L,ADSSL11
chr14:105205679p.R338C,ADSSL11

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 ADSSL1 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 ADSSL1

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

ADSSL1,AK1,AKT1,BRF1,BTBD6,CCDC85C,CINP,
CRIP2,GSTZ1,INF2,CEP170B,KLC1,MTA1,PACS2,
PAK4,PWRN2,SIVA1,WBP1,WDR25,ZBTB42,ZFYVE21
ADSSL1,MLIP,C8orf22,CA3,CKMT2,CORO6,ENAM,
FBXO40,HRC,KLHL33,MYH1,MYOM1,PDE4DIP,PGAM2,
PYGM,SLC25A34,SLC25A4,SYPL2,TMEM52,TNNT3,TRIM7

ADSSL1,ALPPL2,BEX1,MRGPRG-AS1,LAMP5,C3orf35,FAM218A,
CMAHP,CNTFR,FGF3,KCP,LOC100131551,MAEL,MAGED4,
NTF4,OOSP2,SACS,SCN2A,SPANXN2,SUMO1P1,TM9SF1
AATK,ABCA4,ADSSL1,AGAP11,ALDH3B1,ALS2,AQP3,
B3GALT2,MB21D2,MLXIPL,MPP6,PLLP,PNLIPRP2,RHBDL1,
RNF141,SIRPA,SLC6A6,TEKT3,UNC93A,UPK3A,VNN1
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 ADSSL1
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
DB00128adenylosuccinate synthase like 1approved; nutraceuticalL-Aspartic Acid
DB02109adenylosuccinate synthase like 1experimentalHadacidin
DB03510adenylosuccinate synthase like 1experimental6-O-Phosphoryl Inosine Monophosphate
DB04137adenylosuccinate synthase like 1experimentalGuanosine-5'-Triphosphate
DB04315adenylosuccinate synthase like 1experimentalGuanosine-5'-Diphosphate
DB04418adenylosuccinate synthase like 1experimentalAdenylosuccinic Acid
DB04566adenylosuccinate synthase like 1experimentalInosinic Acid


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Cross referenced IDs for ADSSL1
* 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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