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 SYNJ2
Basic gene info.Gene symbolSYNJ2
Gene namesynaptojanin 2
SynonymsINPP5H
CytomapUCSC genome browser: 6q25.3
Genomic locationchr6 :158402887-158520207
Type of geneprotein-coding
RefGenesNM_001178088.1,
NM_003898.3,
Ensembl idENSG00000078269
Descriptioninositol phosphate 5'-phosphatase 2synaptic inositol 1,4,5-trisphosphate 5-phosphatase 2synaptic inositol-1,4,5-trisphosphate 5-phosphatase 2synaptojanin-2
Modification date20141207
dbXrefs MIM : 609410
HGNC : HGNC
Ensembl : ENSG00000078269
HPRD : 10259
Vega : OTTHUMG00000015904
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_SYNJ2
BioGPS: 8871
Gene Expression Atlas: ENSG00000078269
The Human Protein Atlas: ENSG00000078269
PathwayNCI Pathway Interaction Database: SYNJ2
KEGG: SYNJ2
REACTOME: SYNJ2
ConsensusPathDB
Pathway Commons: SYNJ2
MetabolismMetaCyc: SYNJ2
HUMANCyc: SYNJ2
RegulationEnsembl's Regulation: ENSG00000078269
miRBase: chr6 :158,402,887-158,520,207
TargetScan: NM_001178088
cisRED: ENSG00000078269
ContextiHOP: SYNJ2
cancer metabolism search in PubMed: SYNJ2
UCL Cancer Institute: SYNJ2
Assigned class in ccmGDBC

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Phenotypic Information for SYNJ2(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: SYNJ2
Familial Cancer Database: SYNJ2
* 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_INOSITOL_PHOSPHATE_METABOLISM
REACTOME_PHOSPHOLIPID_METABOLISM
REACTOME_PI_METABOLISM
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: SYNJ2
MedGen: SYNJ2 (Human Medical Genetics with Condition)
ClinVar: SYNJ2
PhenotypeMGI: SYNJ2 (International Mouse Phenotyping Consortium)
PhenomicDB: SYNJ2

Mutations for SYNJ2
* 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
ovarySYNJ2chr6158428769158428789SYNJ2chr6158429537158429557
pancreasSYNJ2chr6158406095158406115SYNJ2chr6158406764158406784
pancreasSYNJ2chr6158477898158477918SYNJ2chr6158435373158435393
pancreasSYNJ2chr6158478478158478498AGPAT4chr6161686499161686519
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 SYNJ2 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 # sample2           1    
GAIN (# sample)1                
LOSS (# sample)1           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=5

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=80)
Stat. for Synonymous SNVs
(# total SNVs=45)
Stat. for Deletions
(# total SNVs=1)
Stat. for Insertions
(# total SNVs=1)

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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
chr6:158507981-158507981p.R1101R5
chr6:158497676-158497676p.E771K3
chr6:158487517-158487517p.E523K3
chr6:158502225-158502225p.F884F2
chr6:158483059-158483059p.T330T2
chr6:158449950-158449950p.S126L2
chr6:158495667-158495667p.R730H2
chr6:158454651-158454651p.R217H2
chr6:158438287-158438287p.A60V2
chr6:158499241-158499241p.K832T2

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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=3

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample31 174 7 72 1061 11913 21
# mutation31 165 7 62 1161 12215 23
nonsynonymous SNV2  113 4 5  76   1312 12
synonymous SNV11 52 3 12 4 1 193 11
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
chr6:158483059p.T93T,SYNJ23
chr6:158449950p.S126L2
chr6:158490643p.K595T,SYNJ22
chr6:158499241p.S132S2
chr6:158449969p.A90V,SYNJ22
chr6:158497676p.V206F2
chr6:158497732p.E534K,SYNJ22
chr6:158513997p.Y552Y,SYNJ22
chr6:158454617p.S389S,SYNJ22
chr6:158483049p.D965A,SYNJ22

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 SYNJ2 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 SYNJ2

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

APC,APOOL,ARID1B,BCLAF1,BOD1L1,CCNT1,CLOCK,
DMXL1,DPP8,FAM120B,LATS1,LMBRD2,N4BP2,NCOA2,
SCAF8,RSPH3,SHPRH,SNX9,SON,SYNJ2,TULP4
DIEXF,DHX33,EHF,GRHL1,KIAA1671,LY75,MCTP2,
MTMR1,PCNXL2,QTRTD1,RFWD3,RPS6KA5,SHANK2,SMARCC1,
SYNJ2,TRPS1,ZBED4,ZNF146,ZNF317,ZNF562,ZNF667

ANKS1A,ARID1B,ASXL2,CREBBP,DDI2,DOPEY1,HECA,
IGF2R,GLTSCR1L,LATS1,MDC1,MGAT5,MLLT4,PDPK1,
SCAF8,SERINC5,SPATA13,SYNJ2,TBC1D16,ZKSCAN1,ZNF318
ANKRD17,ATXN2L,COL4A5,GCN1L1,HEATR5B,LRBA,MAML1,
KMT2B___KMT2D,NUP214,PCNT,POM121,RNF168,SAFB2,SF3A1,
SIK2,SRCAP,SYNE2,SYNJ2,TRIO,ZMIZ2,ZXDC
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 SYNJ2
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
DB00171synaptojanin 2approved; nutraceuticalAdenosine triphosphate


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Cross referenced IDs for SYNJ2
* 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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