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 INS
Basic gene info.Gene symbolINS
Gene nameinsulin
SynonymsIDDM|IDDM1|IDDM2|ILPR|IRDN|MODY10
CytomapUCSC genome browser: 11p15.5
Genomic locationchr11 :2181008-2182439
Type of geneprotein-coding
RefGenesNM_000207.2,
NM_001185097.1,NM_001185098.1,NM_001291897.1,
Ensembl idENSG00000254647
Descriptionpreproinsulinproinsulin
Modification date20141222
dbXrefs MIM : 176730
HGNC : HGNC
Ensembl : ENSG00000254647
HPRD : 01455
Vega : OTTHUMG00000009558
ProteinUniProt: P01308
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_INS
BioGPS: 3630
Gene Expression Atlas: ENSG00000254647
The Human Protein Atlas: ENSG00000254647
PathwayNCI Pathway Interaction Database: INS
KEGG: INS
REACTOME: INS
ConsensusPathDB
Pathway Commons: INS
MetabolismMetaCyc: INS
HUMANCyc: INS
RegulationEnsembl's Regulation: ENSG00000254647
miRBase: chr11 :2,181,008-2,182,439
TargetScan: NM_000207
cisRED: ENSG00000254647
ContextiHOP: INS
cancer metabolism search in PubMed: INS
UCL Cancer Institute: INS
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of INS in cancer cell metabolism1. Lin LL, Huang HC, Juan HF, Taida Cancer Systems Biology Study G (2015) Circadian systems biology in Metazoa. Brief Bioinform. doi: 10.1093/bib/bbv006. go to article
2. Ferroni P, Riondino S, Buonomo O, Palmirotta R, Guadagni F, et al. (2015) Type 2 Diabetes and Breast Cancer: The Interplay between Impaired Glucose Metabolism and Oxidant Stress. Oxid Med Cell Longev 2015: 183928. doi: 10.1155/2015/183928. pmid: 4480937. go to article
3. Feitelson MA, Arzumanyan A, Kulathinal RJ, Blain SW, Holcombe RF, et al. (2015) Sustained proliferation in cancer: Mechanisms and novel therapeutic targets. Semin Cancer Biol. doi: 10.1016/j.semcancer.2015.02.006. go to article

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

check002.gifOthers
OMIM 125852; phenotype.
176730; gene+phenotype.
606176; phenotype.
613370; phenotype.
Orphanet 552; MODY syndrome.
99885; Permanent neonatal diabetes mellitus.
DiseaseKEGG Disease: INS
MedGen: INS (Human Medical Genetics with Condition)
ClinVar: INS
PhenotypeMGI: INS (International Mouse Phenotyping Consortium)
PhenomicDB: INS

Mutations for INS
* 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 INS related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BC148488IGF2332201121291172149603INS2216401121597792161209
BC153083IGF2332201121291172149603INS2216401121597792161209

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

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=2

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=8)
Stat. for Synonymous SNVs
(# total SNVs=5)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.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
chr11:2182073-2182073p.C43C2
chr11:2182069-2182069p.E45K1
chr11:2182081-2182081p.L41L1
chr11:2181082-2181082p.*111*1
chr11:2182097-2182097p.L35L1
chr11:2181097-2181097p.E106D1
chr11:2182108-2182108p.G32R1
chr11:2181135-2181135p.Q94K1
chr11:2182116-2182116p.H29P1
chr11:2181138-2181138p.E93K1

Top
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      1       2
# mutation    2      1       2
nonsynonymous SNV    1              1
synonymous SNV    1      1       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
chr11:2181082p.E106D,INS1
chr11:2181097p.V92V,INS1
chr11:2181139p.L82L,INS1
chr11:2181169p.S76R,INS1
chr11:2181187p.X111X,INS1

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 INS 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 INS

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

CGB,CGB1,CGB5,CGB8,FAM47C,FFAR2,GCG,
GSDMB,INS,LOC727924,LINC00052,OR4M2,OR4N2,OR4N3P,
OR4N4,OR4Q3,PWAR4___F2RL3___PAWR,PPY,SNORD115-26,TEX28,TTR
NA,NA,NA,NA,NA,NA,NA,
NA,NA,NA,NA,NA,NA,NA,
NA,NA,NA,NA,NA,NA,NA

ADAM5,AGT,ALDH1A1,CACNA1B,CALML6,CLCNKA,DPPA2,
FAM198B,IAPP,IFNL2,INS,CFAP74,LOC388428,OBSCN,
PRSS50,PVT1,RASL10B,SLC17A9,SNORA16A,SPAG17,USP17L6P
NA,NA,NA,NA,NA,NA,NA,
NA,NA,NA,NA,NA,NA,NA,
NA,NA,NA,NA,NA,NA,NA
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 INS
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link
ChemistryChEMBL CHEMBL5881; -.
Organism-specific databasesPharmGKB PA201; -.
Organism-specific databasesCTD 3630; -.

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB01776insulinexperimentalM-Cresol
DB08231insulinexperimentalMYRISTIC ACID
DB00121insulinapproved; nutraceuticalBiotin
DB00877insulinapproved; investigationalSirolimus
DB00122insulinapproved; nutraceuticalCholine


Top
Cross referenced IDs for INS
* 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